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John R. Birge

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Senay Agca & John Birge & Zi'ang Wang & Jing Wu, 2021. "The Impact of COVID-19 on Supply Chain Credit Risk," Working Papers 2021-19, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Maria Czech, 2022. "The Impact of Covid-19 Dynamics on SCDS Spreads in Selected CEE Countries," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 254-271.
    2. Liudmila I. Khoruzhy & Valery I. Khoruzhy & Bogdan S. Vasyakin & Wenhao Shen, 2022. "Program-Targeted Approach to Managing Financial Risks of Sustainable Development Based on Corporate Social Responsibility in the Decade of Action," Risks, MDPI, vol. 10(3), pages 1-20, March.

  2. Senay Agca & Volodymyr Babich & John Birge & Jing Wu, 2021. "Credit Shock Propagation Along Supply Chains: Evidence from the CDS Market," Working Papers 2021-18, The George Washington University, Institute for International Economic Policy.

    Cited by:

    1. Xie, Xiaofeng & Shi, Xinyu & Gu, Jing & Xu, Xun, 2023. "Examining the Contagion Effect of Credit Risk in a Supply Chain under Trade Credit and Bank Loan Offering," Omega, Elsevier, vol. 115(C).
    2. Hu, Nan & Liang, Peng & Liu, Ling & Zhu, Lu, 2022. "The bullwhip effect and credit default swap market: A study based on firm-specific bullwhip effect measure," International Review of Financial Analysis, Elsevier, vol. 84(C).

  3. John R. Birge & Ozan Candogan & Yiding Feng, 2020. "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," Working Papers 2020-57_Revision, Becker Friedman Institute for Research In Economics.

    Cited by:

    1. Xieer Dai & Michael Beenstock & Daniel Felsenstein & David Genesove & Nikita Kotsenko, 2023. "'Traffic light' theory for Covid-19 spatial mitigation policy design," Journal of Spatial Econometrics, Springer, vol. 4(1), pages 1-35, December.
    2. Theodoros Evgeniou & Mathilde Fekom & Anton Ovchinnikov & Raphaël Porcher & Camille Pouchol & Nicolas Vayatis, 2023. "Pandemic lockdown, isolation, and exit policies based on machine learning predictions," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1307-1322, May.
    3. Glaeser, Edward L. & Gorback, Caitlin & Redding, Stephen J., 2022. "JUE Insight: How much does COVID-19 increase with mobility? Evidence from New York and four other U.S. cities," Journal of Urban Economics, Elsevier, vol. 127(C).
    4. Pol Antras & Stephen J Redding & Esteban Rossi Hansberg, 2020. "Globalization and Pandemics," Working Papers 267, Princeton University, Department of Economics, Center for Economic Policy Studies..
    5. Davids, Allan & du Rand, Gideon & Georg, Co-Pierre & Koziol, Tina & Schasfoort, Joeri, 2023. "Social learning in a network model of Covid-19," Journal of Economic Behavior & Organization, Elsevier, vol. 213(C), pages 271-304.
    6. Pablo D. Fajgelbaum & Amit Khandelwal & Wookun Kim & Cristiano Mantovani & Edouard Schaal, 2020. "Optimal lockdown in a commuting network," Economics Working Papers 1727, Department of Economics and Business, Universitat Pompeu Fabra.
    7. Eryarsoy, Enes & Shahmanzari, Masoud & Tanrisever, Fehmi, 2023. "Models for government intervention during a pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 69-83.
    8. Aldo Carranza & Marcel Goic & Eduardo Lara & Marcelo Olivares & Gabriel Y. Weintraub & Julio Covarrubia & Cristian Escobedo & Natalia Jara & Leonardo J. Basso, 2022. "The Social Divide of Social Distancing: Shelter-in-Place Behavior in Santiago During the Covid-19 Pandemic," Management Science, INFORMS, vol. 68(3), pages 2016-2027, March.
    9. Edward L. Glaeser & Caitlin S. Gorback & Stephen J. Redding, 2020. "How Much Does COVID-19 Increase with Mobility? Evidence from New York and Four Other U.S. Cities," Working Papers 2020-22, Princeton University. Economics Department..
    10. Krishna Dasaratha, 2020. "Virus Dynamics with Behavioral Responses," Papers 2004.14533, arXiv.org, revised Sep 2023.
    11. Acuña, José & Andersen, Lykke E. & Gonzáles, Luis, 2020. "Datos territoriales para la gestión de la pandemia: el caso del COVID-19 en Bolivia," Revista Latinoamericana de Desarrollo Economico, Carrera de Economía de la Universidad Católica Boliviana (UCB) "San Pablo", issue 34, pages 7-33, November.
    12. Alexander Lipton & Marcos Lopez de Prado, 2022. "Mitigation Strategies for COVID-19: Lessons from the K-SEIR Model Calibrated to the Observable Data," JRFM, MDPI, vol. 15(6), pages 1-38, June.
    13. Giacomo Aletti & Alessandro Benfenati & Giovanni Naldi, 2021. "Graph, Spectra, Control and Epidemics: An Example with a SEIR Model," Mathematics, MDPI, vol. 9(22), pages 1-13, November.
    14. Akbarpour, Mohammad & Cook, Cody & Marzuoli, Aude & Mongey, Simon & Nagaraj, Abhishek & Saccarola, Matteo & Tebaldi, Pietro & Vasserman, Shoshana & Yang, Hanbin, 2020. "Socioeconomic Network Heterogeneity and Pandemic Policy Response," Research Papers 3886, Stanford University, Graduate School of Business.
    15. Bisin, Alberto & Moro, Andrea, 2022. "JUE insight: Learning epidemiology by doing: The empirical implications of a Spatial-SIR model with behavioral responses," Journal of Urban Economics, Elsevier, vol. 127(C).
    16. Goolsbee, Austan & Syverson, Chad, 2021. "Fear, lockdown, and diversion: Comparing drivers of pandemic economic decline 2020," Journal of Public Economics, Elsevier, vol. 193(C).
    17. Zhiyuan Chen & Guangwen Kong, 2023. "Hospital admission, facility‐based isolation, and social distancing: An SEIR model with constrained medical resources," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1397-1414, May.
    18. John R. Birge & Ozan Candogan & Yiding Feng, 2022. "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," Management Science, INFORMS, vol. 68(5), pages 3175-3195, May.
    19. Francis de Véricourt & Huseyin Gurkan & Shouqiang Wang, 2021. "Informing the Public About a Pandemic," Management Science, INFORMS, vol. 67(10), pages 6350-6357, October.
    20. Francis de Véricourt, & Huseyin Gurkan, & Shouqiang Wang,, 2020. "Informing the public about a pandemic," ESMT Research Working Papers ESMT-20-03, ESMT European School of Management and Technology, revised 11 Feb 2021.
    21. Kang Kang & Sherwin Doroudi & Mohammad Delasay & Alexander Wickeham, 2023. "A queueing‐theoretic framework for evaluating transmission risks in service facilities during a pandemic," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1453-1470, May.
    22. Constanza Fosco & Felipe Zurita, 2021. "Assessing the short-run effects of lockdown policies on economic activity, with an application to the Santiago Metropolitan Region, Chile," PLOS ONE, Public Library of Science, vol. 16(6), pages 1-23, June.
    23. Georgia Perakis & Divya Singhvi & Omar Skali Lami & Leann Thayaparan, 2023. "COVID‐19: A multiwave SIR‐based model for learning waves," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1471-1489, May.
    24. Daron Acemoglu & Ali Makhdoumi & Azarakhsh Malekian & Asuman Ozdaglar, 2020. "Testing, Voluntary Social Distancing and the Spread of an Infection," NBER Working Papers 27483, National Bureau of Economic Research, Inc.
    25. Yiduo Huang & Zuojun Max Shen, 2021. "Optimizing timetable and network reopen plans for public transportation networks during a COVID19-like pandemic," Papers 2109.03940, arXiv.org.

  4. Birge, John R. & Candogan, Ozan & Chen, Hongfan & Saban, Daniela, 2018. "Optimal Commissions and Subscriptions in Networked Markets," Research Papers 3742, Stanford University, Graduate School of Business.

    Cited by:

    1. Saeed Alaei & Ali Makhdoumi & Azarakhsh Malekian & Saša Pekeč, 2022. "Revenue-Sharing Allocation Strategies for Two-Sided Media Platforms: Pro-Rata vs. User-Centric," Management Science, INFORMS, vol. 68(12), pages 8699-8721, December.
    2. Zhu, Haoruo & Ni, Yaodong & Yang, Meng & Song, Qinyu, 2023. "Blessing or curse? Impact of incomplete information in a networked cournot competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    3. Charlson, G., 2020. "Searching for Results: Optimal Platform Design in a Network Setting," Cambridge Working Papers in Economics 20118, Faculty of Economics, University of Cambridge.

  5. Victor M. Zavala & Kibaek Kim & Mihai Anitescu & John Birge, 2015. "A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties," Papers 1510.08335, arXiv.org.

    Cited by:

    1. Mete Şeref Ahunbay & Martin Bichler & Johannes Knörr, 2023. "Challenges in Designing Electricity Spot Markets," NBER Chapters, in: New Directions in Market Design, National Bureau of Economic Research, Inc.
    2. Bjørndal, Endre & Bjørndal, Mette & Midthun, Kjetil & Tomasgard, Asgeir, 2016. "Stochastic Electricity Dispatch: A challenge for market design," Discussion Papers 2016/11, Norwegian School of Economics, Department of Business and Management Science.
    3. Dongwei Zhao & Vladimir Dvorkin & Stefanos Delikaraoglou & Alberto J. Lamadrid L. & Audun Botterud, 2023. "Uncertainty-Informed Renewable Energy Scheduling: A Scalable Bilevel Framework," Papers 2312.03868, arXiv.org.
    4. Ratha, Anubhav & Pinson, Pierre & Le Cadre, Hélène & Virag, Ana & Kazempour, Jalal, 2023. "Moving from linear to conic markets for electricity," European Journal of Operational Research, Elsevier, vol. 309(2), pages 762-783.
    5. Hohl, Cody & Lo Prete, Chiara & Radhakrishnan, Ashish & Webster, Mort, 2023. "Intraday markets, wind integration and uplift payments in a regional U.S. power system," Energy Policy, Elsevier, vol. 175(C).
    6. López-Flores, Francisco Javier & Hernández-Pérez, Luis Germán & Lira-Barragán, Luis Fernando & Rubio-Castro, Eusiel & Ponce-Ortega, José M., 2022. "Optimal Profit Distribution in Interplant Waste Heat Integration through a Hybrid Approach," Energy, Elsevier, vol. 253(C).
    7. Ordoudis, Christos & Delikaraoglou, Stefanos & Kazempour, Jalal & Pinson, Pierre, 2020. "Market-based coordination of integrated electricity and natural gas systems under uncertain supply," European Journal of Operational Research, Elsevier, vol. 287(3), pages 1105-1119.
    8. Philip A. Tominac & Victor M. Zavala, 2020. "Economic Properties of Multi-Product Supply Chains," Papers 2006.03467, arXiv.org, revised Jul 2020.
    9. Bjørndal, Endre & Bjørndal, Mette & Midthun, Kjetil & Zakeri, Golbon, 2016. "Congestion Management in a Stochastic Dispatch Model for Electricity Markets," Discussion Papers 2016/12, Norwegian School of Economics, Department of Business and Management Science.
    10. Anna Schwele & Christos Ordoudis & Pierre Pinson & Jalal Kazempour, 2021. "Coordination of power and natural gas markets via financial instruments," Computational Management Science, Springer, vol. 18(4), pages 505-538, October.
    11. Bjørndal, Endre & Bjørndal, Mette & Midthun, Kjetil & Tomasgard, Asgeir, 2018. "Stochastic electricity dispatch: A challenge for market design," Energy, Elsevier, vol. 150(C), pages 992-1005.
    12. Laur, Arnaud & Nieto-Martin, Jesus & Bunn, Derek W. & Vicente-Pastor, Alejandro, 2020. "Optimal procurement of flexibility services within electricity distribution networks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 34-47.
    13. Xin Shi & Alberto J. Lamadrid L. & Luis F. Zuluaga, 2021. "Revenue Adequate Prices for Chance-Constrained Electricity Markets with Variable Renewable Energy Sources," Papers 2105.01233, arXiv.org.
    14. Morales, J.M. & Muñoz, M.A. & Pineda, S., 2023. "Prescribing net demand for two-stage electricity generation scheduling," Operations Research Perspectives, Elsevier, vol. 10(C).
    15. Yankai Cao & Carl D. Laird & Victor M. Zavala, 2016. "Clustering-based preconditioning for stochastic programs," Computational Optimization and Applications, Springer, vol. 64(2), pages 379-406, June.
    16. Zhang, Weiqi & Zavala, Victor M., 2022. "Remunerating space–time, load-shifting flexibility from data centers in electricity markets," Applied Energy, Elsevier, vol. 326(C).

  6. Birge, John R. & Freund, Robert Michael., 1990. "Prior reduced fill-in in solving equations in interior point algorithms," Working papers 3186-90., Massachusetts Institute of Technology (MIT), Sloan School of Management.

    Cited by:

    1. Maros, Istvan & Meszaros, Csaba, 1998. "The role of the augmented system in interior point methods," European Journal of Operational Research, Elsevier, vol. 107(3), pages 720-736, June.
    2. A. Ruszczynski, 1993. "Interior Point Methods in Stochastic Programming," Working Papers wp93008, International Institute for Applied Systems Analysis.

Articles

  1. Şenay Ağca & John R. Birge & Zi'ang Wang & Jing Wu, 2023. "The impact of COVID‐19 on supply chain credit risk," Production and Operations Management, Production and Operations Management Society, vol. 32(12), pages 4088-4113, December.
    See citations under working paper version above.
  2. Senay Agca & Volodymyr Babich & John R. Birge & Jing Wu, 2022. "Credit Shock Propagation Along Supply Chains: Evidence from the CDS Market," Management Science, INFORMS, vol. 68(9), pages 6506-6538, September.
    See citations under working paper version above.
  3. John R. Birge & Ozan Candogan & Yiding Feng, 2022. "Controlling Epidemic Spread: Reducing Economic Losses with Targeted Closures," Management Science, INFORMS, vol. 68(5), pages 3175-3195, May.
    See citations under working paper version above.
  4. Babich, Volodymyr & Birge, John, 2021. "The Interface of Finance, Operations, and Risk Management," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 15(1-2), pages 1-203, June.

    Cited by:

    1. Tang, Wenzhi & Du, Shaofu & Hu, Li & Wang, Bill & Zhu, Yangguang, 2022. "The effects of leadership in Clean Development Mechanism low-carbon operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 158(C).

  5. John R. Birge, 2021. "Network Structure and its Impact on Commodity Markets," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4568-4574, December.

    Cited by:

    1. Stein‐Erik Fleten, 2021. "Remarks on “Network Structure and Its Impact on Commodity Markets”," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4575-4576, December.
    2. Nicola Secomandi & Sridhar Seshadri, 2021. "Introduction to the Focused Issue on the POM‐Finance Interface in Commodity and Energy Markets," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4566-4567, December.

  6. Vishal Ahuja & Carlos A. Alvarez & John R. Birge & Chad Syverson, 2021. "Enhancing Regulatory Decision Making for Postmarket Drug Safety," Management Science, INFORMS, vol. 67(12), pages 7493-7510, December.

    Cited by:

    1. Ottaviani, Marco & Loseto, Marco, 2018. "Regulation with Experimentation: Ex Ante Approval, Ex Post Withdrawal, and Liability," CEPR Discussion Papers 13224, C.E.P.R. Discussion Papers.
    2. Elisa F. Long & Gilberto Montibeller & Jun Zhuang, 2022. "Health Decision Analysis: Evolution, Trends, and Emerging Topics," Decision Analysis, INFORMS, vol. 19(4), pages 255-264, December.

  7. John Birge & Ozan Candogan & Hongfan Chen & Daniela Saban, 2021. "Optimal Commissions and Subscriptions in Networked Markets," Manufacturing & Service Operations Management, INFORMS, vol. 23(3), pages 569-588, May.
    See citations under working paper version above.
  8. Vishal Ahuja & John R. Birge, 2020. "An Approximation Approach for Response-Adaptive Clinical Trial Design," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 877-894, October.

    Cited by:

    1. Hossein Kamalzadeh & Vishal Ahuja & Michael Hahsler & Michael E. Bowen, 2021. "An Analytics‐Driven Approach for Optimal Individualized Diabetes Screening," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3161-3191, September.
    2. Williamson, S. Faye & Jacko, Peter & Jaki, Thomas, 2022. "Generalisations of a Bayesian decision-theoretic randomisation procedure and the impact of delayed responses," Computational Statistics & Data Analysis, Elsevier, vol. 174(C).

  9. Yang, S. Alex & Birge, John R., 2020. "Trade Credit in Supply Chains: Multiple Creditors and Priority Rules," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 14(1-2), pages 5-22, October.

    Cited by:

    1. Ma, Cheng & Dai, Yuankang & Li, Zhongfei, 2022. "Financing format selection for electronic business platforms with a capital-constrained e-tailer," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).

  10. Nur Sunar & John R. Birge & Sinit Vitavasiri, 2019. "Optimal Dynamic Product Development and Launch for a Network of Customers," Operations Research, INFORMS, vol. 67(3), pages 770-790, May.

    Cited by:

    1. Shi, Zhenyang & Liu, Shaoxuan, 2020. "Optimal inventory control and design refresh selection in managing part obsolescence," European Journal of Operational Research, Elsevier, vol. 287(1), pages 133-144.
    2. Demirci, Ece Zeliha & Erkip, Nesim, 2024. "Integrating efforts for product development and market penetration," European Journal of Operational Research, Elsevier, vol. 312(3), pages 927-937.
    3. Victor F. Araman & René A. Caldentey, 2022. "Diffusion Approximations for a Class of Sequential Experimentation Problems," Management Science, INFORMS, vol. 68(8), pages 5958-5979, August.
    4. Sareh Nabi & Houssam Nassif & Joseph Hong & Hamed Mamani & Guido Imbens, 2022. "Bayesian Meta-Prior Learning Using Empirical Bayes," Management Science, INFORMS, vol. 68(3), pages 1737-1755, March.
    5. Vahideh Manshadi & Sidhant Misra & Scott Rodilitz, 2020. "Diffusion in Random Networks: Impact of Degree Distribution," Operations Research, INFORMS, vol. 68(6), pages 1722-1741, November.
    6. Nur Sunar & Jayashankar M. Swaminathan, 2022. "Socially relevant and inclusive operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4379-4392, December.

  11. Nur Sunar & John R. Birge, 2019. "Strategic Commitment to a Production Schedule with Uncertain Supply and Demand: Renewable Energy in Day-Ahead Electricity Markets," Management Science, INFORMS, vol. 65(2), pages 714-734, February.

    Cited by:

    1. Song, Xiaoling & Zhang, Huqing & Fan, Lurong & Zhang, Zhe & Peña-Mora, Feniosky, 2023. "Planning shared energy storage systems for the spatio-temporal coordination of multi-site renewable energy sources on the power generation side," Energy, Elsevier, vol. 282(C).
    2. Li, Bingkang & Zhao, Huiru & Wang, Xuejie & Zhao, Yihang & Zhang, Yuanyuan & Lu, Hao & Wang, Yuwei, 2022. "Distributionally robust offering strategy of the aggregator integrating renewable energy generator and energy storage considering uncertainty and connections between the mid-to-long-term and spot elec," Renewable Energy, Elsevier, vol. 201(P1), pages 400-417.
    3. Yuan Yuan & Feng Cai & Lingling Yang, 2020. "Renewable Energy Investment under Carbon Emission Regulations," Sustainability, MDPI, vol. 12(17), pages 1-15, August.
    4. Mier, Mathias, 2021. "Efficient pricing of electricity revisited," Energy Economics, Elsevier, vol. 104(C).
    5. Qiong Jia & Liyuan Wei & Xiaotong Li, 2019. "Visualizing Sustainability Research in Business and Management (1990–2019) and Emerging Topics: A Large-Scale Bibliometric Analysis," Sustainability, MDPI, vol. 11(20), pages 1-37, October.
    6. Karakoyun, Ece Cigdem & Avci, Harun & Kocaman, Ayse Selin & Nadar, Emre, 2023. "Deviations from commitments: Markov decision process formulations for the role of energy storage," International Journal of Production Economics, Elsevier, vol. 255(C).
    7. Karimi, Sajad & Kwon, Soongeol, 2022. "Optimization-driven uncertainty forecasting: Application to day-ahead commitment with renewable energy resources," Applied Energy, Elsevier, vol. 326(C).
    8. Ge Zehui & Ren Zhengkun & Jia Yiheng & Hu Qiying, 2021. "A Bounded Commitment in Vertical Collaborations of New Product Development," Journal of Systems Science and Information, De Gruyter, vol. 9(2), pages 154-174, April.
    9. Heikki Peura & Derek W. Bunn, 2021. "Renewable Power and Electricity Prices: The Impact of Forward Markets," Management Science, INFORMS, vol. 67(8), pages 4772-4788, August.
    10. Nur Sunar & Jayashankar M. Swaminathan, 2021. "Net-Metered Distributed Renewable Energy: A Peril for Utilities?," Management Science, INFORMS, vol. 67(11), pages 6716-6733, November.
    11. Alessio Trivella & Danial Mohseni-Taheri & Selvaprabu Nadarajah, 2023. "Meeting Corporate Renewable Power Targets," Management Science, INFORMS, vol. 69(1), pages 491-512, January.
    12. Zhong, Zhiming & Fan, Neng & Wu, Lei, 2023. "A hybrid robust-stochastic optimization approach for day-ahead scheduling of cascaded hydroelectric system in restructured electricity market," European Journal of Operational Research, Elsevier, vol. 306(2), pages 909-926.
    13. Alexandar Angelus, 2021. "Distributed Renewable Power Generation and Implications for Capacity Investment and Electricity Prices," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4614-4634, December.
    14. Ge, Zehui & Hu, Qiying & Goh, Chon-Huat & Zhao, Rui, 2021. "Action-dependent commitment in vertical collaborations: The effect of demand-creating innovations in a supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    15. Vishal V. Agrawal & Şafak Yücel, 2022. "Design of Electricity Demand-Response Programs," Management Science, INFORMS, vol. 68(10), pages 7441-7456, October.
    16. Nur Sunar & Jayashankar M. Swaminathan, 2022. "Socially relevant and inclusive operations management," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4379-4392, December.

  12. Birge, John R. & Hortaçsu, Ali & Mercadal, Ignacia & Pavlin, J. Michael, 2018. "Limits to arbitrage in electricity markets: A case study of MISO," Energy Economics, Elsevier, vol. 75(C), pages 518-533.

    Cited by:

    1. Hopkins, Caroline A., 2020. "Convergence bids and market manipulation in the California electricity market," Energy Economics, Elsevier, vol. 89(C).
    2. Benatia, David & Billette de Villemeur, Etienne, 2019. "Strategic Reneging in Sequential Imperfect Markets," MPRA Paper 105280, University Library of Munich, Germany, revised Jan 2020.
    3. Leslie, Gordon W., 2021. "Who benefits from ratepayer-funded auctions of transmission congestion contracts? Evidence from New York," Energy Economics, Elsevier, vol. 93(C).
    4. Ren, Kezheng & Liu, Jun & Liu, Xinglei & Nie, Yongxin, 2023. "Reinforcement Learning-Based Bi-Level strategic bidding model of Gas-fired unit in integrated electricity and natural gas markets preventing market manipulation," Applied Energy, Elsevier, vol. 336(C).
    5. Zhou Fang, 2023. "Electricity Virtual Bidding Strategy Via Entropy-Regularized Stochastic Control Method," Papers 2303.02303, arXiv.org.
    6. Zhang, Anthony Lee, 2022. "Competition and manipulation in derivative contract markets," Journal of Financial Economics, Elsevier, vol. 144(2), pages 396-413.
    7. Ehsan Samani & Mahdi Kohansal & Hamed Mohsenian-Rad, 2021. "A Data-Driven Convergence Bidding Strategy Based on Reverse Engineering of Market Participants' Performance: A Case of California ISO," Papers 2109.09238, arXiv.org.
    8. Van Moer, Geert, 2019. "Electricity market competition when forward contracts are pairwise efficient," MPRA Paper 96660, University Library of Munich, Germany.
    9. Anna Schwele & Christos Ordoudis & Pierre Pinson & Jalal Kazempour, 2021. "Coordination of power and natural gas markets via financial instruments," Computational Management Science, Springer, vol. 18(4), pages 505-538, October.
    10. Mayyas, Ahmad & Chadly, Assia & Amer, Saed Talib & Azar, Elie, 2022. "Economics of the Li-ion batteries and reversible fuel cells as energy storage systems when coupled with dynamic electricity pricing schemes," Energy, Elsevier, vol. 239(PA).
    11. Guo, Nongchao & Lo Prete, Chiara, 2019. "Cross-product manipulation with intertemporal constraints: An equilibrium model," Energy Policy, Elsevier, vol. 134(C).

  13. John R. Birge & Ali Hortaçsu & J. Michael Pavlin, 2017. "Inverse Optimization for the Recovery of Market Structure from Market Outcomes: An Application to the MISO Electricity Market," Operations Research, INFORMS, vol. 65(4), pages 837-855, August.

    Cited by:

    1. Chen, Lu & Chen, Yuyi & Langevin, André, 2021. "An inverse optimization approach for a capacitated vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1087-1098.
    2. Lili Zhang & Zhengrui Chen & Dan Shi & Yanan Zhao, 2023. "An Inverse Optimal Value Approach for Synchronously Optimizing Activity Durations and Worker Assignments with a Project Ideal Cost," Mathematics, MDPI, vol. 11(5), pages 1-21, February.
    3. Zhou Fang, 2023. "Electricity Virtual Bidding Strategy Via Entropy-Regularized Stochastic Control Method," Papers 2303.02303, arXiv.org.
    4. John R. Birge, 2021. "Network Structure and its Impact on Commodity Markets," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4568-4574, December.
    5. Merve Bodur & Timothy C. Y. Chan & Ian Yihang Zhu, 2022. "Inverse Mixed Integer Optimization: Polyhedral Insights and Trust Region Methods," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1471-1488, May.
    6. Rishabh Gupta & Qi Zhang, 2022. "Decomposition and Adaptive Sampling for Data-Driven Inverse Linear Optimization," INFORMS Journal on Computing, INFORMS, vol. 34(5), pages 2720-2735, September.
    7. Mahler, Valentin & Girard, Robin & Kariniotakis, Georges, 2022. "Data-driven structural modeling of electricity price dynamics," Energy Economics, Elsevier, vol. 107(C).
    8. Vusal Babashov & Antoine Sauré & Onur Ozturk & Jonathan Patrick, 2023. "Setting wait time targets in a multi‐priority patient setting," Production and Operations Management, Production and Operations Management Society, vol. 32(6), pages 1958-1974, June.
    9. Ghobadi, Kimia & Mahmoudzadeh, Houra, 2021. "Inferring linear feasible regions using inverse optimization," European Journal of Operational Research, Elsevier, vol. 290(3), pages 829-843.
    10. Yijie Peng & Michael C. Fu & Bernd Heidergott & Henry Lam, 2020. "Maximum Likelihood Estimation by Monte Carlo Simulation: Toward Data-Driven Stochastic Modeling," Operations Research, INFORMS, vol. 68(6), pages 1896-1912, November.
    11. Shi Yu & Haoran Wang & Chaosheng Dong, 2020. "Learning Risk Preferences from Investment Portfolios Using Inverse Optimization," Papers 2010.01687, arXiv.org, revised Feb 2021.
    12. Stathis Tompaidis, 2021. "Comments on “Network Structure and Its Impact on Commodity Markets”," Production and Operations Management, Production and Operations Management Society, vol. 30(12), pages 4577-4578, December.
    13. Timothy C. Y. Chan & Taewoo Lee & Daria Terekhov, 2019. "Inverse Optimization: Closed-Form Solutions, Geometry, and Goodness of Fit," Management Science, INFORMS, vol. 65(3), pages 1115-1135, March.
    14. Jonathan Yu-Meng Li, 2021. "Inverse Optimization of Convex Risk Functions," Management Science, INFORMS, vol. 67(11), pages 7113-7141, November.
    15. Javad Tayyebi & Ali Reza Sepasian, 2020. "Partial inverse min–max spanning tree problem," Journal of Combinatorial Optimization, Springer, vol. 40(4), pages 1075-1091, November.

  14. John R. Birge & Rodney P. Parker & Michelle Xiao Wu & S. Alex Yang, 2017. "When Customers Anticipate Liquidation Sales: Managing Operations Under Financial Distress," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 657-673, October.

    Cited by:

    1. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
    2. Guozhao Cao & Zhan Wang, 2021. "Product flexibility of competitive manufactures: the effect of debt financing," Annals of Operations Research, Springer, vol. 307(1), pages 53-74, December.
    3. Wang, Jing & Wang, Kai & Li, Xiang & Zhao, Ruiqing, 2022. "Suppliers’ trade credit strategies with transparent credit ratings: Null, exclusive, and nonchalant provision," European Journal of Operational Research, Elsevier, vol. 297(1), pages 153-163.

  15. Victor M. Zavala & Kibaek Kim & Mihai Anitescu & John Birge, 2017. "A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties," Operations Research, INFORMS, vol. 65(3), pages 557-576, June.
    See citations under working paper version above.
  16. Ritzenhofen, Ingmar & Birge, John R. & Spinler, Stefan, 2016. "The structural impact of renewable portfolio standards and feed-in tariffs on electricity markets," European Journal of Operational Research, Elsevier, vol. 255(1), pages 224-242.

    Cited by:

    1. Hach, Daniel & Chyong, Chi Kong & Spinler, Stefan, 2016. "Capacity market design options: A dynamic capacity investment model and a GB case study," European Journal of Operational Research, Elsevier, vol. 249(2), pages 691-705.
    2. Cayir Ervural, Beyzanur & Zaim, Selim & Delen, Dursun, 2018. "A two-stage analytical approach to assess sustainable energy efficiency," Energy, Elsevier, vol. 164(C), pages 822-836.
    3. MacDonald, Scott & Eyre, Nick, 2018. "An international review of markets for voluntary green electricity tariffs," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 180-192.
    4. Xin-gang Zhao & Yu-zhuo Zhang & Yan-bin Li, 2018. "The Evolution of Renewable Energy Price Policies Based on Improved Bass Model: A System Dynamics (SD) Analysis," Sustainability, MDPI, vol. 10(6), pages 1-20, May.
    5. Natalia Fabra & Imelda, 2021. "Market Power and Price Exposure: Learning from Changes in Renewables Regulation," Working Papers EPRG2117, Energy Policy Research Group, Cambridge Judge Business School, University of Cambridge.
    6. Choi, Gobong & Huh, Sung-Yoon & Heo, Eunnyeong & Lee, Chul-Yong, 2018. "Prices versus quantities: Comparing economic efficiency of feed-in tariff and renewable portfolio standard in promoting renewable electricity generation," Energy Policy, Elsevier, vol. 113(C), pages 239-248.
    7. Lee, Chul-Yong & Huh, Sung-Yoon, 2017. "Forecasting the diffusion of renewable electricity considering the impact of policy and oil prices: The case of South Korea," Applied Energy, Elsevier, vol. 197(C), pages 29-39.
    8. Jung, Seung Hwan & Feng, Tianjun, 2020. "Government subsidies for green technology development under uncertainty," European Journal of Operational Research, Elsevier, vol. 286(2), pages 726-739.
    9. Yang, Dong-xiao & Chen, Zi-yue & Nie, Pu-yan, 2016. "Output subsidy of renewable energy power industry under asymmetric information," Energy, Elsevier, vol. 117(P1), pages 291-299.
    10. Yu-zhuo, Zhang & Xin-gang, Zhao & Ling-zhi, Ren & Ji, Liang & Ping-kuo, Liu, 2017. "The development of China's biomass power industry under feed-in tariff and renewable portfolio standard: A system dynamics analysis," Energy, Elsevier, vol. 139(C), pages 947-961.
    11. Joseph Nyangon & John Byrne, 2023. "Estimating the impacts of natural gas power generation growth on solar electricity development: PJM's evolving resource mix and ramping capability," Wiley Interdisciplinary Reviews: Energy and Environment, Wiley Blackwell, vol. 12(1), January.
    12. Castaneda, Monica & Zapata, Sebastian & Cherni, Judith & Aristizabal, Andres J. & Dyner, Isaac, 2020. "The long-term effects of cautious feed-in tariff reductions on photovoltaic generation in the UK residential sector," Renewable Energy, Elsevier, vol. 155(C), pages 1432-1443.
    13. A. Gürhan Kök & Kevin Shang & Şafak Yücel, 2018. "Impact of Electricity Pricing Policies on Renewable Energy Investments and Carbon Emissions," Management Science, INFORMS, vol. 64(1), pages 131-148, January.
    14. Fang, Debin & Zhao, Chaoyang & Kleit, Andrew N., 2019. "The impact of the under enforcement of RPS in China: An evolutionary approach," Energy Policy, Elsevier, vol. 135(C).
    15. Gillich, Annika & Hufendiek, Kai & Klempp, Nikolai, 2020. "Extended policy mix in the power sector: How a coal phase-out redistributes costs and profits among power plants," Energy Policy, Elsevier, vol. 147(C).
    16. Li, Wei & Lu, Can & Zhang, Yan-Wu, 2019. "Prospective exploration of future renewable portfolio standard schemes in China via a multi-sector CGE model," Energy Policy, Elsevier, vol. 128(C), pages 45-56.
    17. Xia, Fang & Lu, Xi & Song, Feng, 2020. "The role of feed-in tariff in the curtailment of wind power in China," Energy Economics, Elsevier, vol. 86(C).
    18. Hu, Bo & Zhou, P., 2022. "Can the renewable power consumption guarantee mechanism help activate China's power trading market?," Energy, Elsevier, vol. 253(C).
    19. Alessio Trivella & Danial Mohseni-Taheri & Selvaprabu Nadarajah, 2023. "Meeting Corporate Renewable Power Targets," Management Science, INFORMS, vol. 69(1), pages 491-512, January.
    20. Levin, Todd & Kwon, Jonghwan & Botterud, Audun, 2019. "The long-term impacts of carbon and variable renewable energy policies on electricity markets," Energy Policy, Elsevier, vol. 131(C), pages 53-71.
    21. Jingxiao Chen & Lei Zhang & Gaodan Deng, 2023. "Has the Wind Power Price Policy Promoted the High-Quality Development of China’s Wind Power Industry?—Analysis Based on Total Factor Productivity," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    22. Romano, Teresa & Fumagalli, Elena, 2018. "Greening the power generation sector: Understanding the role of uncertainty," Renewable and Sustainable Energy Reviews, Elsevier, vol. 91(C), pages 272-286.
    23. Song, Xiao-hua & Han, Jing-jing & Zhang, Lu & Zhao, Cai-ping & Wang, Peng & Liu, Xiao-yan & Li, Qiao-chu, 2021. "Impacts of renewable portfolio standards on multi-market coupling trading of renewable energy in China: A scenario-based system dynamics model," Energy Policy, Elsevier, vol. 159(C).
    24. Yuzhuo Zhang & Xingang Zhao & Yi Zuo & Lingzhi Ren & Ling Wang, 2017. "The Development of the Renewable Energy Power Industry under Feed-In Tariff and Renewable Portfolio Standard: A Case Study of China’s Photovoltaic Power Industry," Sustainability, MDPI, vol. 9(4), pages 1-23, March.
    25. Zhu, Lei & Li, Li & Su, Bin, 2021. "The price-bidding strategy for investors in a renewable auction: An option games–based study," Energy Economics, Elsevier, vol. 100(C).
    26. Grashof, Katherina, 2019. "Are auctions likely to deter community wind projects? And would this be problematic?," Energy Policy, Elsevier, vol. 125(C), pages 20-32.
    27. Ding, Hao & Zhou, Dequn & Zhou, P., 2020. "Optimal policy supports for renewable energy technology development: A dynamic programming model," Energy Economics, Elsevier, vol. 92(C).
    28. Schlereth, Christian & Skiera, Bernd & Schulz, Fabian, 2018. "Why do consumers prefer static instead of dynamic pricing plans? An empirical study for a better understanding of the low preferences for time-variant pricing plans," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1165-1179.
    29. Atkinson, Travis & Preckel, Paul V. & Gotham, Douglas, 2022. "Costs and trade-offs associated with renewable energy policies for Small Island Developing States: Case study for Jamaica," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    30. Makhloufi, Saida & Khennas, Smail & Bouchaib, Sami & Arab, Amar Hadj, 2022. "Multi-objective cuckoo search algorithm for optimized pathways for 75 % renewable electricity mix by 2050 in Algeria," Renewable Energy, Elsevier, vol. 185(C), pages 1410-1424.
    31. Güner, Yusuf Emre, 2018. "The improved screening curve method regarding existing units," European Journal of Operational Research, Elsevier, vol. 264(1), pages 310-326.
    32. Gallego, Camilo A., 2022. "Intertemporal effects of imperfect competition through forward contracts in wholesale electricity markets," Energy Economics, Elsevier, vol. 107(C).
    33. Zhang, Libo & Chen, Changqi & Wang, Qunwei & Zhou, Dequn, 2021. "The impact of feed-in tariff reduction and renewable portfolio standard on the development of distributed photovoltaic generation in China," Energy, Elsevier, vol. 232(C).
    34. Wang, Delu & Li, Chunxiao & Mao, Jinqi & Yang, Qing, 2023. "What affects the implementation of the renewable portfolio standard? An analysis of the four-party evolutionary game," Renewable Energy, Elsevier, vol. 204(C), pages 250-261.
    35. Yu, Xianyu & Ge, Shengxian & Zhou, Dequn & Wang, Qunwei & Chang, Ching-Ter & Sang, Xiuzhi, 2022. "Whether feed-in tariff can be effectively replaced or not? An integrated analysis of renewable portfolio standards and green certificate trading," Energy, Elsevier, vol. 245(C).

  17. Ahuja, Vishal & Birge, John R., 2016. "Response-adaptive designs for clinical trials: Simultaneous learning from multiple patients," European Journal of Operational Research, Elsevier, vol. 248(2), pages 619-633.

    Cited by:

    1. Stephen Chick & Martin Forster & Paolo Pertile, 2015. "A Bayesian Decision-Theoretic Model of Sequential Experimentation with Delayed Response," Discussion Papers 15/09, Department of Economics, University of York.
    2. Amir Ali Nasrollahzadeh & Amin Khademi, 2022. "Dynamic Programming for Response-Adaptive Dose-Finding Clinical Trials," INFORMS Journal on Computing, INFORMS, vol. 34(2), pages 1176-1190, March.
    3. Arielle Anderer & Hamsa Bastani & John Silberholz, 2022. "Adaptive Clinical Trial Designs with Surrogates: When Should We Bother?," Management Science, INFORMS, vol. 68(3), pages 1982-2002, March.
    4. Andres Alban & Stephen E. Chick & Martin Forster, 2023. "Value-Based Clinical Trials: Selecting Recruitment Rates and Trial Lengths in Different Regulatory Contexts," Management Science, INFORMS, vol. 69(6), pages 3516-3535, June.
    5. Panos Kouvelis & Joseph Milner & Zhili Tian, 2017. "Clinical Trials for New Drug Development: Optimal Investment and Application," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 437-452, July.
    6. Vishal Ahuja & John R. Birge, 2020. "An Approximation Approach for Response-Adaptive Clinical Trial Design," INFORMS Journal on Computing, INFORMS, vol. 32(4), pages 877-894, October.
    7. Kotas, Jakob & Ghate, Archis, 2018. "Bayesian learning of dose–response parameters from a cohort under response-guided dosing," European Journal of Operational Research, Elsevier, vol. 265(1), pages 328-343.
    8. Stephen E. Chick & Noah Gans & Özge Yapar, 2022. "Bayesian Sequential Learning for Clinical Trials of Multiple Correlated Medical Interventions," Management Science, INFORMS, vol. 68(7), pages 4919-4938, July.

  18. Tsan-Ming Choi & T. C. E. Cheng & Xiande Zhao & Desheng Dash Wu & Cuicui Luo & Haofei Wang & John R. Birge, 2016. "Bi-level Programing Merger Evaluation and Application to Banking Operations," Production and Operations Management, Production and Operations Management Society, vol. 25(3), pages 498-515, March.

    Cited by:

    1. Zhou, Xiaoyang & Xu, Zhongwen & Chai, Jian & Yao, Liming & Wang, Shouyang & Lev, Benjamin, 2019. "Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model," Omega, Elsevier, vol. 85(C), pages 68-82.
    2. Shiyi Chen & Wolfgang K. Härdle & Li Wang, 2020. "Estimation and determinants of Chinese banks’ total factor efficiency: a new vision based on unbalanced development of Chinese banks and their overall risk," Computational Statistics, Springer, vol. 35(2), pages 427-468, June.
    3. Tianxu Jiang & Min Zhu, 2021. "The impact of innovation on companies’ cross-border mergers and acquisitions: evidence from China," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(3), pages 969-991, June.
    4. Yongrok Choi & Xiaoxia Ye & Lu Zhao & Amanda C. Luo, 2016. "Optimizing enterprise risk management: a literature review and critical analysis of the work of Wu and Olson," Annals of Operations Research, Springer, vol. 237(1), pages 281-300, February.
    5. Yuan, Zhennan & Chen, Frank Y. & Yan, Xiaoming & Yu, Yugang, 2020. "Operational implications of yield uncertainty in mergers and acquisitions," International Journal of Production Economics, Elsevier, vol. 219(C), pages 248-258.
    6. Taleizadeh, Ata Allah & Sadeghi, Razieh, 2019. "Pricing strategies in the competitive reverse supply chains with traditional and e-channels: A game theoretic approach," International Journal of Production Economics, Elsevier, vol. 215(C), pages 48-60.
    7. Chang, Tsung-Sheng & Lin, Ji-Gang & Ouenniche, Jamal, 2023. "DEA-based Nash bargaining approach to merger target selection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 930-945.
    8. Feyza G. Sahinyazan & Marie‐Ève Rancourt & Vedat Verter, 2021. "Food Aid Modality Selection Problem," Production and Operations Management, Production and Operations Management Society, vol. 30(4), pages 965-983, April.
    9. Zhao, Linlin & Zha, Yong & Zhuang, Yuliang & Liang, Liang, 2019. "Data envelopment analysis for sustainability evaluation in China: Tackling the economic, environmental, and social dimensions," European Journal of Operational Research, Elsevier, vol. 275(3), pages 1083-1095.

  19. John R. Birge & Luis Chavez-Bedoya, 2016. "Portfolio optimization under a generalized hyperbolic skewed t distribution and exponential utility," Quantitative Finance, Taylor & Francis Journals, vol. 16(7), pages 1019-1036, July.

    Cited by:

    1. Wang, Chou-Wen & Liu, Kai & Li, Bin & Tan, Ken Seng, 2022. "Portfolio optimization under multivariate affine generalized hyperbolic distributions," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 49-66.
    2. Valeria V. Lakshina, 2019. "Do Portfolio Investors Need To Consider The Asymmetry Of Returns On The Russian Stock Market?," HSE Working papers WP BRP 75/FE/2019, National Research University Higher School of Economics.
    3. Vanduffel, Steven & Yao, Jing, 2017. "A stein type lemma for the multivariate generalized hyperbolic distribution," European Journal of Operational Research, Elsevier, vol. 261(2), pages 606-612.
    4. Mikl'os R'asonyi & Hasanjan Sayit, 2022. "Exponential utility maximization in small/large financial markets," Papers 2208.06549, arXiv.org, revised Feb 2024.
    5. Nicholas Barberis & Lawrence J. Jin & Baolian Wang, 2021. "Prospect Theory and Stock Market Anomalies," Journal of Finance, American Finance Association, vol. 76(5), pages 2639-2687, October.
    6. Lakshina, Valeriya, 2020. "Do portfolio investors need to consider the asymmetry of returns on the Russian stock market?," The Journal of Economic Asymmetries, Elsevier, vol. 21(C).

  20. John R. Birge, 2015. "OM Forum—Operations and Finance Interactions," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 4-15, February.

    Cited by:

    1. Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
    2. Wang, Mengyue & Huang, Hongxuan, 2019. "The design of a flexible capital-constrained global supply chain by integrating operational and financial strategies," Omega, Elsevier, vol. 88(C), pages 40-62.
    3. Ni, Jian & Chu, Lap Keung & Li, Qiang, 2017. "Capacity decisions with debt financing: The effects of agency problem," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1158-1169.
    4. Alain Bensoussan & Benoit Chevalier-Roignant & Alejandro Rivera, 2022. "A model for wind farm management with option interactions," Post-Print hal-04325553, HAL.
    5. Peng, Juan & Zhou, Zhili, 2019. "Working capital optimization in a supply chain perspective," European Journal of Operational Research, Elsevier, vol. 277(3), pages 846-856.
    6. Li, Jian & He, Zhou & Wang, Shouyang, 2022. "A survey of supply chain operation and finance with Fintech: Research framework and managerial insights," International Journal of Production Economics, Elsevier, vol. 247(C).
    7. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    8. Yu, Wantao & Wong, Chee Yew & Chavez, Roberto & Jacobs, Mark A., 2021. "Integrating big data analytics into supply chain finance: The roles of information processing and data-driven culture," International Journal of Production Economics, Elsevier, vol. 236(C).
    9. Serrano, Alejandro & Oliva, Rogelio & Kraiselburd, Santiago, 2017. "On the cost of capital in inventory models with deterministic demand," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 14-20.

  21. S. Alex Yang & John R. Birge & Rodney P. Parker, 2015. "The Supply Chain Effects of Bankruptcy," Management Science, INFORMS, vol. 61(10), pages 2320-2338, October.

    Cited by:

    1. Jiao Wang & Lima Zhao & Arnd Huchzermeier, 2021. "Operations‐Finance Interface in Risk Management: Research Evolution and Opportunities," Production and Operations Management, Production and Operations Management Society, vol. 30(2), pages 355-389, February.
    2. Yuqian Xu & Lingjiong Zhu & Michael Pinedo, 2020. "Operational Risk Management: A Stochastic Control Framework with Preventive and Corrective Controls," Operations Research, INFORMS, vol. 68(6), pages 1804-1825, November.
    3. Xiao, Shuang & Sethi, Suresh P. & Liu, Mengqi & Ma, Shihua, 2017. "Coordinating contracts for a financially constrained supply chain," Omega, Elsevier, vol. 72(C), pages 71-86.
    4. Simone Pizzi & Fabio Caputo & Andrea Venturelli, 2020. "Does it pay to be an honest entrepreneur? Addressing the relationship between sustainable development and bankruptcy risk," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 27(3), pages 1478-1486, May.
    5. Li, Yanhai & Ou, Jinwen & Gu, Chaocheng, 2023. "Buyer guarantee and bailout in supplier finance with bankruptcy cost," European Journal of Operational Research, Elsevier, vol. 305(1), pages 287-299.
    6. Cheng, Yuxiang & Wen, Fenghua & Wang, Yiming & Olson, David L., 2023. "Who should finance the supply chain? Impact of accounts receivable mortgage on supply chain decision," International Journal of Production Economics, Elsevier, vol. 261(C).
    7. Chen, Chang-Chih & Huang, Henry Hongren & Lee, Chun I., 2022. "Supply chain, product pricing, and dynamic capital structure," International Review of Economics & Finance, Elsevier, vol. 80(C), pages 938-952.
    8. John R. Birge & Rodney P. Parker & Michelle Xiao Wu & S. Alex Yang, 2017. "When Customers Anticipate Liquidation Sales: Managing Operations Under Financial Distress," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 657-673, October.
    9. Yang, Honglin & Zhuo, Wenyan & Shao, Lusheng & Talluri, Srinivas, 2021. "Mean-variance analysis of wholesale price contracts with a capital-constrained retailer: Trade credit financing vs. bank credit financing," European Journal of Operational Research, Elsevier, vol. 294(2), pages 525-542.
    10. Shi, Jinzhao & Guo, Ju'e & Du, Qiang & Lin, Feng & Lai, Kin Keung & Cheng, T.C.E., 2020. "Optimal financing mode selection for a capital-constrained retailer under an implicit bankruptcy cost," International Journal of Production Economics, Elsevier, vol. 228(C).
    11. Ni, Jian & Chu, Lap Keung & Li, Qiang, 2017. "Capacity decisions with debt financing: The effects of agency problem," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1158-1169.
    12. Niu, Baozhuang & Zeng, Fanzhuo & Liu, Yaoqi, 2021. "Firms’ introduction of internet-based installment: Incremental demand vs. cash opportunity cost," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    13. Zhao, Lima & Huchzermeier, Arnd, 2019. "Managing supplier financial distress with advance payment discount and purchase order financing," Omega, Elsevier, vol. 88(C), pages 77-90.
    14. Lin, Zhiping & Shi, Ruixia & Stecke, Kathryn E. & Xiao, Wenli & Xu, Di, 2021. "Selling to a financially constrained E-commerce retailer with bankruptcy cost and tax," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    15. Song-Man Wu & Felix T. S. Chan & S. H. Chung, 2022. "The influence of positive and negative salvage values on supply chain financing strategies," Annals of Operations Research, Springer, vol. 315(1), pages 535-563, August.
    16. Jianjun Yu & Dan Zhu, 2018. "Study on the Selection Strategy of Supply Chain Financing Modes Based on the Retailer’s Trade Grade," Sustainability, MDPI, vol. 10(9), pages 1-12, August.
    17. Yuting Li & Tong Chen & Baogui Xin, 2016. "Optimal Financing Decisions of Two Cash-Constrained Supply Chains with Complementary Products," Sustainability, MDPI, vol. 8(5), pages 1-17, April.
    18. Gökçe Esenduran & John V. Gray & Burcu Tan, 2022. "A Dynamic Analysis of Supply Chain Risk Management and Extended Payment Terms," Production and Operations Management, Production and Operations Management Society, vol. 31(3), pages 1394-1417, March.
    19. Xiaohan Guo & Jianliang Ye & Wunhong Su & Deming Luo & Xiangrong Jin, 2022. "Do zombie firms crowd out healthy firms and slow their growth? Evidence from China," Development Policy Review, Overseas Development Institute, vol. 40(6), November.
    20. Ata Allah Taleizadeh & Aria Zaker Safaei & Arijit Bhattacharya & Alireza Amjadian, 2022. "Online peer-to-peer lending platform and supply chain finance decisions and strategies," Annals of Operations Research, Springer, vol. 315(1), pages 397-427, August.
    21. Tarun Jain & Jishnu Hazra & Jayashankar M. Swaminathan, 2019. "Excess procurement strategies by a dominant buyer under constrained supply," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 272-280, April.
    22. Lütkemeyer, Daniel & Heese, H. Sebastian & Wuttke, David A. & Gernert, Andreas K., 2022. "Pricing and market entry decisions in personalized medicine," International Journal of Production Economics, Elsevier, vol. 253(C).
    23. Mihov, Atanas & Naranjo, Andy, 2017. "Customer-base concentration and the transmission of idiosyncratic volatility along the vertical chain," Journal of Empirical Finance, Elsevier, vol. 40(C), pages 73-100.
    24. Niu, Baozhuang & Mu, Zihao, 2020. "Sustainable efforts, procurement outsourcing, and channel co-opetition in emerging markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    25. Zelong Yi & Yulan Wang & Ying‐Ju Chen, 2021. "Financing an Agricultural Supply Chain with a Capital‐Constrained Smallholder Farmer in Developing Economies," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2102-2121, July.
    26. Karca D. Aral & Erasmo Giambona & Ye Wang, 2022. "Buyer’s Bankruptcy Risk, Sourcing Strategy, and Firm Value: Evidence from the Supplier Protection Act," Management Science, INFORMS, vol. 68(11), pages 7940-7957, November.
    27. Panos Kouvelis & Fasheng Xu, 2021. "A Supply Chain Theory of Factoring and Reverse Factoring," Management Science, INFORMS, vol. 67(10), pages 6071-6088, October.
    28. Nishihara, Michi & Shibata, Takashi, 2021. "Optimal capital structure and simultaneous bankruptcy of firms in corporate networks," Journal of Economic Dynamics and Control, Elsevier, vol. 133(C).
    29. Weisheng Deng & Lu Liu, 2019. "Comparison of Carbon Emission Reduction Modes: Impacts of Capital Constraint and Risk Aversion," Sustainability, MDPI, vol. 11(6), pages 1-30, March.
    30. Wang, Jing & Wang, Kai & Li, Xiang & Zhao, Ruiqing, 2022. "Suppliers’ trade credit strategies with transparent credit ratings: Null, exclusive, and nonchalant provision," European Journal of Operational Research, Elsevier, vol. 297(1), pages 153-163.
    31. Shi, Jinzhao & Liu, Dian & Du, Qiang & Cheng, T.C.E., 2023. "The role of the procurement commitment contract in a low-carbon supply chain with a capital-constrained supplier," International Journal of Production Economics, Elsevier, vol. 255(C).
    32. Kuhla, Kilian & Willner, Sven N & Otto, Christian & Levermann, Anders, 2023. "Resilience of international trade to typhoon-related supply disruptions," Journal of Economic Dynamics and Control, Elsevier, vol. 151(C).
    33. Baozhuang Niu & Kanglin Chen & Lei Chen & Chao Ding & Xiaohang Yue, 2021. "Strategic Waiting for Disruption Forecasts in Cross‐Border E‐Commerce Operations," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2840-2857, September.
    34. Yudan Dou & Xiaolong Xue & Zebin Zhao & Xiaowei Luo, 2019. "Factors Influence China’s Off-Site Construction Technology Innovation Diffusion," Sustainability, MDPI, vol. 11(7), pages 1-23, March.
    35. Hua, Shengya & Liu, Jingchen & Cheng, T.C.E. & Zhai, Xin, 2019. "Financing and ordering strategies for a supply chain under the option contract," International Journal of Production Economics, Elsevier, vol. 208(C), pages 100-121.
    36. Corsten, Daniel & Gropp, Reint E. & Markou, Panos, 2017. "Suppliers as liquidity insurers," IWH Discussion Papers 8/2017, Halle Institute for Economic Research (IWH).
    37. Wu, Song-Man & Chan, Felix T.S. & Chung, S.H., 2022. "The impact of buyback support on financing strategies for a capital-constrained supplier," International Journal of Production Economics, Elsevier, vol. 248(C).
    38. Beiqi Lin & Chelsea Liu & Kelvin Jui Keng Tan & Qing Zhou, 2020. "CEO turnover and bankrupt firms’ emergence," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 47(9-10), pages 1238-1267, October.
    39. Deng, Sijing & Fu, Ke & Xu, Jiayan & Zhu, Kaijie, 2021. "The supply chain effects of trade credit under uncertain demands," Omega, Elsevier, vol. 98(C).
    40. Jain, Richa & Reindorp, Matthew & Chockalingam, Arun, 2023. "Buyer-backed purchase-order financing for SME supplier with uncertain yield," European Journal of Operational Research, Elsevier, vol. 307(2), pages 758-772.
    41. Babich, Volodymyr & Birge, John, 2021. "The Interface of Finance, Operations, and Risk Management," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 15(1-2), pages 1-203, June.
    42. Chang, Shuhua & Li, Anqi & Wang, Xin & Wang, Xinyu, 2022. "Joint optimization of e-commerce supply chain financing strategy and channel contract," European Journal of Operational Research, Elsevier, vol. 303(2), pages 908-927.
    43. Baghai, Ramin & Silva, Rui & Ye, Luofu, 2018. "Teams and Bankruptcy," CEPR Discussion Papers 13198, C.E.P.R. Discussion Papers.
    44. Dan A. Iancu & Nikolaos Trichakis & Gerry Tsoukalas, 2017. "Is Operating Flexibility Harmful Under Debt?," Management Science, INFORMS, vol. 63(6), pages 1730-1761, June.
    45. S. Alex Yang & Nitin Bakshi & Christopher J. Chen, 2021. "Trade Credit Insurance: Operational Value and Contract Choice," Management Science, INFORMS, vol. 67(2), pages 875-891, February.
    46. Onur Boyabatlı & Tiecheng Leng & L. Beril Toktay, 2016. "The Impact of Budget Constraints on Flexible vs. Dedicated Technology Choice," Management Science, INFORMS, vol. 62(1), pages 225-244, January.
    47. Zhong, Yuanguang & Yang, Tong & Zillmann, Stefan & Cao, Bin, 2022. "The role of government regulatory policies in financing capital-constrained retailers under competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).

  22. Chavez-Bedoya, Luis & Birge, John, 2014. "Index tracking and enhanced indexation using a parametric approach," Journal of Economics, Finance and Administrative Science, Universidad ESAN, vol. 19(36), pages 19-44.

    Cited by:

    1. Ruchika Sehgal & Aparna Mehra, 2023. "Quantile Regression Based Enhanced Indexing with Portfolio Rebalancing," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 21(3), pages 721-742, September.
    2. Wu, Dexiang & Kwon, Roy H. & Costa, Giorgio, 2017. "A constrained cluster-based approach for tracking the S&P 500 index," International Journal of Production Economics, Elsevier, vol. 193(C), pages 222-243.
    3. Zhiping Chen & Shen Peng & Abdel Lisser, 2020. "A sparse chance constrained portfolio selection model with multiple constraints," Journal of Global Optimization, Springer, vol. 77(4), pages 825-852, August.
    4. Li, Xuepeng & Xu, Fengmin & Jing, Kui, 2022. "Robust enhanced indexation with ESG: An empirical study in the Chinese Stock Market," Economic Modelling, Elsevier, vol. 107(C).
    5. Sant’Anna, Leonardo Riegel & Caldeira, João Frois & Filomena, Tiago Pascoal, 2020. "Lasso-based index tracking and statistical arbitrage long-short strategies," The North American Journal of Economics and Finance, Elsevier, vol. 51(C).

  23. Birge, John R. & Júdice, Pedro, 2013. "Long-term bank balance sheet management: Estimation and simulation of risk-factors," Journal of Banking & Finance, Elsevier, vol. 37(12), pages 4711-4720.

    Cited by:

    1. Alexander Lipton, 2016. "Modern Monetary Circuit Theory, Stability Of Interconnected Banking Network, And Balance Sheet Optimization For Individual Banks," International Journal of Theoretical and Applied Finance (IJTAF), World Scientific Publishing Co. Pte. Ltd., vol. 19(06), pages 1-57, September.
    2. Bernd Engelmann & Ha Pham, 2020. "Measuring the Performance of Bank Loans under Basel II/III and IFRS 9/CECL," Risks, MDPI, vol. 8(3), pages 1-21, September.
    3. Alexander Lipton, 2015. "Modern Monetary Circuit Theory, Stability of Interconnected Banking Network, and Balance Sheet Optimization for Individual Banks," Papers 1510.07608, arXiv.org.
    4. Sofia Costa & Marta Faias & Pedro Júdice & Pedro Mota, 2021. "Panel data modeling of bank deposits," Annals of Finance, Springer, vol. 17(2), pages 247-264, June.
    5. Davide Salvatore Mare & Dieter Gramlich, 2021. "Risk exposures of European cooperative banks: a comparative analysis," Review of Quantitative Finance and Accounting, Springer, vol. 56(1), pages 1-23, January.
    6. Hałaj, Grzegorz, 2016. "Dynamic balance sheet model with liquidity risk," Working Paper Series 1896, European Central Bank.
    7. Qian, Xianhang & Wu, Qian, 2021. "Local gambling preferences and bank risk–taking: Evidence from China," Economic Modelling, Elsevier, vol. 105(C).
    8. Mourouzidou-Damtsa, Stella & Milidonis, Andreas & Stathopoulos, Konstantinos, 2019. "National culture and bank risk-taking," Journal of Financial Stability, Elsevier, vol. 40(C), pages 132-143.

  24. Wu, Desheng Dash & Olson, David L. & Birge, John R., 2011. "Introduction to special issue on "Enterprise risk management in operations"," International Journal of Production Economics, Elsevier, vol. 134(1), pages 1-2, November.

    Cited by:

    1. Yi-Ming Wei & Zhi-Fu Mi & Zhiming Huang, 2014. "Climate policy modeling: An online SCI-E and SSCI based literature review," CEEP-BIT Working Papers 58, Center for Energy and Environmental Policy Research (CEEP), Beijing Institute of Technology.
    2. Kjell Hausken & Jun Zhuang, 2016. "The strategic interaction between a company and the government surrounding disasters," Annals of Operations Research, Springer, vol. 237(1), pages 27-40, February.
    3. Xing Gao & Weijun Zhong, 2015. "Information security investment for competitive firms with hacker behavior and security requirements," Annals of Operations Research, Springer, vol. 235(1), pages 277-300, December.
    4. Pritee Ray & Mamata Jenamani, 2016. "Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach," Annals of Operations Research, Springer, vol. 237(1), pages 237-262, February.
    5. Qi, Lian & Lee, Kangbok, 2015. "Supply chain risk mitigations with expedited shipping," Omega, Elsevier, vol. 57(PA), pages 98-113.
    6. Pinior, Beate & Conraths, Franz J. & Petersen, Brigitte & Selhorst, Thomas, 2015. "Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example," Omega, Elsevier, vol. 53(C), pages 41-48.
    7. Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
    8. Tamar Gadrich & Emil Bashkansky & Ričardas Zitikis, 2015. "Assessing variation: a unifying approach for all scales of measurement," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(3), pages 1145-1167, May.
    9. Ilkyeong Moon & Yoon Jea Jeong & Subrata Saha, 2020. "Investment and coordination decisions in a supply chain of fresh agricultural products," Operational Research, Springer, vol. 20(4), pages 2307-2331, December.
    10. Merzifonluoglu, Yasemin, 2015. "Risk averse supply portfolio selection with supply, demand and spot market volatility," Omega, Elsevier, vol. 57(PA), pages 40-53.
    11. Avi Herbon & Konstantin Kogan, 2014. "Time-dependent and independent control rules for coordinated production and pricing under demand uncertainty and finite planning horizons," Annals of Operations Research, Springer, vol. 223(1), pages 195-216, December.
    12. Pritee Ray & Mamata Jenamani, 2016. "Sourcing decision under disruption risk with supply and demand uncertainty: A newsvendor approach," Annals of Operations Research, Springer, vol. 237(1), pages 237-262, February.
    13. Inmaculada Rodríguez-Puerta & Alberto Álvarez-López, 2016. "Optimal allocation of a fixed production under price uncertainty," Annals of Operations Research, Springer, vol. 237(1), pages 121-142, February.
    14. Christopher Gaffney & Adi Ben-Israel, 2016. "A simple insurance model: optimal coverage and deductible," Annals of Operations Research, Springer, vol. 237(1), pages 263-279, February.
    15. Desheng Dash Wu & David L. Olson, 2014. "The State‐Of‐The‐Art Research in ‘Behavioral Risk’: An Introduction to the Special Issue," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 483-486, July.
    16. Qicai Li & Mengdi Gu & Zhibing Liang, 2014. "Optimal excess-of-loss reinsurance and investment polices under the CEV model," Annals of Operations Research, Springer, vol. 223(1), pages 273-290, December.
    17. Christopher Gaffney & Adi Ben-Israel, 2016. "A simple insurance model: optimal coverage and deductible," Annals of Operations Research, Springer, vol. 237(1), pages 263-279, February.
    18. Chow, Pui-Sze & Wang, Yulan & Choi, Tsan-Ming & Shen, Bin, 2015. "An experimental study on the effects of minimum profit share on supply chains with markdown contract: Risk and profit analysis," Omega, Elsevier, vol. 57(PA), pages 85-97.
    19. Xiaohua Han & Haiyan Wu & Qianxia Yang & Jennifer Shang, 2017. "Collection channel and production decisions in a closed-loop supply chain with remanufacturing cost disruption," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1147-1167, February.
    20. David L. Olson & Scott R. Swenseth, 2014. "Trade‐offs in Supply Chain System Risk Mitigation," Systems Research and Behavioral Science, Wiley Blackwell, vol. 31(4), pages 565-579, July.
    21. Huang, He & Xu, Hongyan, 2015. "Dual sourcing and backup production: Coexistence versus exclusivity," Omega, Elsevier, vol. 57(PA), pages 22-33.
    22. Yuemeng Sun & Johannes Wissel & Peter L. Jackson, 2016. "Separation results for multi-product inventory hedging problems," Annals of Operations Research, Springer, vol. 237(1), pages 143-159, February.
    23. Pinior, Beate & Conraths, Franz J. & Petersen, Brigitte & Selhorst, Thomas, 2015. "Reprint of “Decision support for risks managers in the case of deliberate food contamination: The dairy industry as an example”," Omega, Elsevier, vol. 57(PA), pages 114-122.
    24. Inmaculada Rodríguez-Puerta & Alberto A. Álvarez-López, 2016. "Optimal allocation of a fixed production under price uncertainty," Annals of Operations Research, Springer, vol. 237(1), pages 121-142, February.
    25. Chowdhury, Md. Maruf Hossan & Quaddus, Mohammed A., 2015. "A multiple objective optimization based QFD approach for efficient resilient strategies to mitigate supply chain vulnerabilities: The case of garment industry of Bangladesh☆,☆☆☆This manuscript was pro," Omega, Elsevier, vol. 57(PA), pages 5-21.
    26. Yuemeng Sun & Johannes Wissel & Peter Jackson, 2016. "Separation results for multi-product inventory hedging problems," Annals of Operations Research, Springer, vol. 237(1), pages 143-159, February.
    27. Guertler, Benjamin & Spinler, Stefan, 2015. "When does operational risk cause supply chain enterprises to tip? A simulation of intra-organizational dynamics," Omega, Elsevier, vol. 57(PA), pages 54-69.

  25. Desheng Wu & Zhaoxin Zhou & John Birge, 2011. "Estimation of potential gains from mergers in multiple periods: a comparison of stochastic frontier analysis and Data Envelopment Analysis," Annals of Operations Research, Springer, vol. 186(1), pages 357-381, June.

    Cited by:

    1. Bai, Xue-jie & Zeng, Jin & Chiu, Yung-Ho, 2019. "Pre-evaluating efficiency gains from potential mergers and acquisitions based on the resampling DEA approach: Evidence from China's railway sector," Transport Policy, Elsevier, vol. 76(C), pages 46-56.
    2. Ofori, Eric Makafui & Yeager, Elizabeth & Briggeman, Brian, "undated". "Agricultural Cooperative mergers and efficiency gains: An ex-ante analysis," 2020 Annual Meeting, February 1-4, 2020, Louisville, Kentucky 302323, Southern Agricultural Economics Association.
    3. Emilios Galariotis & Kyriaki Kosmidou & Dimitrios Kousenidis & Eirini Lazaridou & Trifon Papapanagiotou, 2021. "Measuring the effects of M&As on Eurozone bank efficiency: an innovative approach on concentration and credibility impacts," Annals of Operations Research, Springer, vol. 306(1), pages 343-368, November.
    4. Peter Wanke & Andrew Maredza & Rangan Gupta, 2016. "Merger and Acquisitions in South African Banking: A Network DEA Model," Working Papers 201665, University of Pretoria, Department of Economics.
    5. Chu, Junfei & Wu, Jie & Chu, Chengbin & Zhang, Tinglong, 2020. "DEA-based fixed cost allocation in two-stage systems: Leader-follower and satisfaction degree bargaining game approaches," Omega, Elsevier, vol. 94(C).
    6. Zhou, Xiaoyang & Xu, Zhongwen & Chai, Jian & Yao, Liming & Wang, Shouyang & Lev, Benjamin, 2019. "Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model," Omega, Elsevier, vol. 85(C), pages 68-82.
    7. Delis, Manthos D. & Kazakis, Pantelis & Zopounidis, Constantin, 2023. "Management and takeover decisions," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1256-1268.
    8. Jianhui Xie & Xiaoxuan Zhu & Liang Liang, 2020. "A multiplicative method for estimating the potential gains from two-stage production system mergers," Annals of Operations Research, Springer, vol. 288(1), pages 475-493, May.
    9. Manthos D. Delis & Pantelis Kazakis & Constantin Zopounidis, 2021. "Management Practices and Takeover Decisions," Working Papers 2021_10, Business School - Economics, University of Glasgow.
    10. Sebastián Lozano & Belarmino Adenso-Díaz, 2021. "A DEA approach for merging dairy farms," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 67(6), pages 209-219.
    11. Ching-Cheng Lu & Yung-ho Chiu & I-Fang Lin & Tai-Yu Lin, 2023. "Dynamic total factors’ environmental efficiency in European union countries," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10055-10072, September.
    12. Ying Li & Yung-Ho Chiu & Tai-Yu Lin & Tzu-Han Chang, 2020. "Pre-Evaluating the Technical Efficiency Gains from Potential Mergers and Acquisitions in the IC Design Industry," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(02), pages 525-559, April.
    13. Gholam R. Amin & Ali Emrouznejad & Said Gattoufi, 2017. "Modelling generalized firms’ restructuring using inverse DEA," Journal of Productivity Analysis, Springer, vol. 48(1), pages 51-61, August.
    14. Xiao Shi & Yongjun Li & Ali Emrouznejad & Jianhui Xie & Liang Liang, 2017. "Estimation of potential gains from bank mergers: A novel two-stage cost efficiency DEA model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(9), pages 1045-1055, September.
    15. Biresh K. Sahoo & Kaoru Tone, 2022. "Evaluating the potential efficiency gains from optimal industry configuration: A case of life insurance industry of India," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(8), pages 3996-4009, December.
    16. Yung‐ho Chiu & Tai‐Yu Lin & Tzu‐Han Chang & Yi‐Nuo Lin & Shih‐Yung Chiu, 2021. "Prevaluating efficiency gains from potential mergers and acquisitions in the financial industry with the Resample Past–Present–Future data envelopment analysis approach," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 42(2), pages 369-384, March.
    17. Doumpos, Michalis & Zopounidis, Constantin & Gounopoulos, Dimitrios & Platanakis, Emmanouil & Zhang, Wenke, 2023. "Operational research and artificial intelligence methods in banking," European Journal of Operational Research, Elsevier, vol. 306(1), pages 1-16.
    18. Mittal, Amit & Garg, Ajay Kumar, 2017. "Why do acquirers prefer M&A? Evidence from Banks in India," MPRA Paper 85354, University Library of Munich, Germany.
    19. Chang, Tsung-Sheng & Lin, Ji-Gang & Ouenniche, Jamal, 2023. "DEA-based Nash bargaining approach to merger target selection," European Journal of Operational Research, Elsevier, vol. 305(2), pages 930-945.
    20. Per J. Agrell & Pontus Mattsson & Jonas Månsson, 2020. "Impacts on efficiency of merging the Swedish district courts," Annals of Operations Research, Springer, vol. 288(2), pages 653-679, May.
    21. Yan He & Yung-ho Chiu & Bin Zhang, 2020. "Prevaluating Technical Efficiency Gains From Potential Mergers and Acquisitions in China’s Coal Industry," SAGE Open, , vol. 10(3), pages 21582440209, July.
    22. Jie Wu & Jun-Fei Chu & Liang Liang, 2016. "Target setting and allocation of carbon emissions abatement based on DEA and closest target: an application to 20 APEC economies," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 279-296, November.

  26. Desheng Dash Wu & David L. Olson & Luis A. Seco & John Birge, 2011. "Introduction To The Special Issue On "Operational Research And Asia Risk Management"," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 28(01), pages 1-1.

    Cited by:

    1. Young Kim & Rosella Giacometti & Svetlozar Rachev & Frank Fabozzi & Domenico Mignacca, 2012. "Measuring financial risk and portfolio optimization with a non-Gaussian multivariate model," Annals of Operations Research, Springer, vol. 201(1), pages 325-343, December.
    2. Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
    3. Avi Herbon & Konstantin Kogan, 2014. "Time-dependent and independent control rules for coordinated production and pricing under demand uncertainty and finite planning horizons," Annals of Operations Research, Springer, vol. 223(1), pages 195-216, December.
    4. Christopher Gaffney & Adi Ben-Israel, 2016. "A simple insurance model: optimal coverage and deductible," Annals of Operations Research, Springer, vol. 237(1), pages 263-279, February.
    5. Christopher Gaffney & Adi Ben-Israel, 2016. "A simple insurance model: optimal coverage and deductible," Annals of Operations Research, Springer, vol. 237(1), pages 263-279, February.

  27. Birge, John R. & Yang, Song, 2007. "A model for tax advantages of portfolios with many assets," Journal of Banking & Finance, Elsevier, vol. 31(11), pages 3269-3290, November.

    Cited by:

    1. Shijie Liu & Andrew Adams & Boulis M. Ibrahim, 2013. "Effects of Tax on Investment Portfolios and Financial Markets Under Mixed Integer Stochastic Programming," CFI Discussion Papers 1304, Centre for Finance and Investment, Heriot Watt University.
    2. John R. Birge, 2015. "OM Forum—Operations and Finance Interactions," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 4-15, February.
    3. Elton, Edwin J. & Gruber, Martin J. & Blake, Christopher R. & Krasny, Yoel & Ozelge, Sadi O., 2010. "The effect of holdings data frequency on conclusions about mutual fund behavior," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 912-922, May.

  28. Xiaodong Xu & John R. Birge, 2006. "Equity valuation, production, and financial planning: A stochastic programming approach," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(7), pages 641-655, October.

    Cited by:

    1. Faranak Emtehani & Nasim Nahavandi & Farimah Mokhatab Rafiei, 2021. "A joint inventory–finance model for coordinating a capital-constrained supply chain with financing limitations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-39, December.
    2. Yasin Alan & Vishal Gaur, 2018. "Operational Investment and Capital Structure Under Asset-Based Lending," Manufacturing & Service Operations Management, INFORMS, vol. 20(4), pages 637-654, October.
    3. Kajjoune, Oussama & Aouam, Tarik & Zouadi, Tarik & Dairi, Meriem, 2021. "Dynamic lot-sizing with short-term financing and external deposits for a capital-constrained manufacturer," International Journal of Production Economics, Elsevier, vol. 242(C).
    4. Shi, Jinzhao & Guo, Ju'e & Du, Qiang & Lin, Feng & Lai, Kin Keung & Cheng, T.C.E., 2020. "Optimal financing mode selection for a capital-constrained retailer under an implicit bankruptcy cost," International Journal of Production Economics, Elsevier, vol. 228(C).
    5. John R. Birge, 2015. "OM Forum—Operations and Finance Interactions," Manufacturing & Service Operations Management, INFORMS, vol. 17(1), pages 4-15, February.
    6. Karthik V. Natarajan & Jayashankar M. Swaminathan, 2014. "Inventory Management in Humanitarian Operations: Impact of Amount, Schedule, and Uncertainty in Funding," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 595-603, October.
    7. Lode Li & Martin Shubik & Matthew J. Sobel, 2013. "Control of Dividends, Capital Subscriptions, and Physical Inventories," Management Science, INFORMS, vol. 59(5), pages 1107-1124, May.
    8. Iny Hwang & Taejin Jung & Woo‐Jong Lee & Daniel G. Yang, 2021. "Asymmetric Inventory Management and the Direction of Sales Changes†," Contemporary Accounting Research, John Wiley & Sons, vol. 38(1), pages 676-706, March.
    9. Ahmet Akca & Ethem Çanakoğlu, 2021. "Adaptive stochastic risk estimation of firm operating profit," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(3), pages 463-504, September.
    10. Khan, Safi Ullah, 2022. "Financing constraints and firm-level responses to the COVID-19 pandemic: International evidence," Research in International Business and Finance, Elsevier, vol. 59(C).
    11. Xiting Gong & Xiuli Chao & David Simchi‐Levi, 2014. "Dynamic inventory control with limited capital and short‐term financing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 61(3), pages 184-201, April.
    12. Qin, Juanjuan & Fu, Huiping & Wang, Ziping & Xia, Liangjie, 2021. "Financing and carbon emission reduction strategies of capital-constrained manufacturers in E-commerce supply chains," International Journal of Production Economics, Elsevier, vol. 241(C).
    13. Xiaoyan Qian & Tava Lennon Olsen, 2020. "Operational and Financial Decisions Within Proportional Investment Cooperatives," Manufacturing & Service Operations Management, INFORMS, vol. 22(3), pages 545-561, May.
    14. Jain, Richa & Reindorp, Matthew & Chockalingam, Arun, 2023. "Buyer-backed purchase-order financing for SME supplier with uncertain yield," European Journal of Operational Research, Elsevier, vol. 307(2), pages 758-772.
    15. Babich, Volodymyr & Birge, John, 2021. "The Interface of Finance, Operations, and Risk Management," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 15(1-2), pages 1-203, June.

  29. Joyce W. Yen & John R. Birge, 2006. "A Stochastic Programming Approach to the Airline Crew Scheduling Problem," Transportation Science, INFORMS, vol. 40(1), pages 3-14, February.

    Cited by:

    1. Wen, Xin & Sun, Xuting & Sun, Yige & Yue, Xiaohang, 2021. "Airline crew scheduling: Models and algorithms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    2. Onur Tavaslıoğlu & Oleg A. Prokopyev & Andrew J. Schaefer, 2019. "Solving Stochastic and Bilevel Mixed-Integer Programs via a Generalized Value Function," Operations Research, INFORMS, vol. 67(6), pages 1659-1677, November.
    3. Jespersen-Groth, J. & Potthoff, D. & Clausen, J. & Huisman, D. & Kroon, L.G. & Maróti, G. & Nielsen, M.N., 2007. "Disruption management in passenger railway transportation," Econometric Institute Research Papers EI 2007-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Julie Poullet & Axel Parmentier, 2020. "Shift Planning Under Delay Uncertainty at Air France: A Vehicle-Scheduling Problem with Outsourcing," Transportation Science, INFORMS, vol. 54(4), pages 956-972, July.
    5. Huisman, Dennis & Wagelmans, Albert P.M., 2006. "A solution approach for dynamic vehicle and crew scheduling," European Journal of Operational Research, Elsevier, vol. 172(2), pages 453-471, July.
    6. Nurul Farihan Mohamed & Zaitul Marlizawati Zainuddin & Said Salhi & Nurul Huda Mohamed & Nurul Akmal Mohamed, 2016. "A Heuristic and Exact Method: Integrated Aircraft Routing and Crew Pairing Problem," Modern Applied Science, Canadian Center of Science and Education, vol. 10(4), pages 128-128, April.
    7. Soyster, A.L. & Murphy, F.H., 2017. "Data driven matrix uncertainty for robust linear programming," Omega, Elsevier, vol. 70(C), pages 43-57.
    8. Chunhua Gao & Ellis Johnson & Barry Smith, 2009. "Integrated Airline Fleet and Crew Robust Planning," Transportation Science, INFORMS, vol. 43(1), pages 2-16, February.
    9. Jane Lee & Lavanya Marla & Alexandre Jacquillat, 2020. "Dynamic Disruption Management in Airline Networks Under Airport Operating Uncertainty," Transportation Science, INFORMS, vol. 54(4), pages 973-997, July.
    10. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    11. Michelle Dunbar & Gary Froyland & Cheng-Lung Wu, 2012. "Robust Airline Schedule Planning: Minimizing Propagated Delay in an Integrated Routing and Crewing Framework," Transportation Science, INFORMS, vol. 46(2), pages 204-216, May.
    12. Shoufeng Ma & Hongming Li & Ning Zhu & Chenyi Fu, 2021. "Stochastic programming approach for unidirectional quay crane scheduling problem with uncertainty," Journal of Scheduling, Springer, vol. 24(2), pages 137-174, April.
    13. A H Ahmed & C A Poojari, 2008. "An overview of the issues in the airline industry and the role of optimization models and algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 267-277, March.
    14. Gary Froyland & Stephen J. Maher & Cheng-Lung Wu, 2014. "The Recoverable Robust Tail Assignment Problem," Transportation Science, INFORMS, vol. 48(3), pages 351-372, August.
    15. Xiuli Qu & Yidong Peng & Nan Kong & Jing Shi, 2013. "A two-phase approach to scheduling multi-category outpatient appointments – A case study of a women’s clinic," Health Care Management Science, Springer, vol. 16(3), pages 197-216, September.
    16. Şafak, Özge & Çavuş, Özlem & Selim Aktürk, M., 2018. "Multi-stage airline scheduling problem with stochastic passenger demand and non-cruise times," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 39-67.
    17. Valentina Cacchiani & Alberto Caprara & Laura Galli & Leo Kroon & Gábor Maróti & Paolo Toth, 2012. "Railway Rolling Stock Planning: Robustness Against Large Disruptions," Transportation Science, INFORMS, vol. 46(2), pages 217-232, May.
    18. Derui Wang & Yanfeng Wu & Jian-Qiang Hu & Miaomiao Liu & Peiwen Yu & Cheng Zhang & Yan Wu, 2019. "Flight Schedule Recovery: A Simulation-Based Approach," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 36(06), pages 1-19, December.
    19. Mac Cawley, Alejandro & Maturana, Sergio & Pascual, Rodrigo & Tortorella, Guilherme Luz, 2022. "Scheduling wine bottling operations with multiple lines and sequence-dependent set-up times: Robust formulation and a decomposition solution approach," European Journal of Operational Research, Elsevier, vol. 303(2), pages 819-839.
    20. Xiaodong Luo & Yogesh Dashora & Tina Shaw, 2015. "Airline Crew Augmentation: Decades of Improvements from Sabre," Interfaces, INFORMS, vol. 45(5), pages 409-424, October.
    21. Mohamed Haouari & Farah Zeghal Mansour & Hanif D. Sherali, 2019. "A New Compact Formulation for the Daily Crew Pairing Problem," Transportation Science, INFORMS, vol. 53(3), pages 811-828, May.
    22. Sujeevraja Sanjeevi & Saravanan Venkatachalam, 2021. "Robust flight schedules with stochastic programming," Annals of Operations Research, Springer, vol. 305(1), pages 403-421, October.
    23. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.
    24. Xu, Yifan & Wandelt, Sebastian & Sun, Xiaoqian, 2021. "Airline integrated robust scheduling with a variable neighborhood search based heuristic," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 181-203.
    25. Beraldi, P. & Bruni, M.E. & Conforti, D., 2009. "The stochastic trim-loss problem," European Journal of Operational Research, Elsevier, vol. 197(1), pages 42-49, August.
    26. Da Lu & Fatma Gzara, 2015. "The robust crew pairing problem: model and solution methodology," Journal of Global Optimization, Springer, vol. 62(1), pages 29-54, May.
    27. David Antunes & Vikrant Vaze & António Pais Antunes, 2019. "A Robust Pairing Model for Airline Crew Scheduling," Transportation Science, INFORMS, vol. 53(6), pages 1751-1771, November.
    28. Liang, Zhe & Feng, Yuan & Zhang, Xiaoning & Wu, Tao & Chaovalitwongse, Wanpracha Art, 2015. "Robust weekly aircraft maintenance routing problem and the extension to the tail assignment problem," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 238-259.
    29. Keji Wei & Vikrant Vaze, 2018. "Modeling Crew Itineraries and Delays in the National Air Transportation System," Transportation Science, INFORMS, vol. 52(5), pages 1276-1296, October.

  30. Grasman, Scott E. & Olsen, Tava Lennon & Birge, John R., 2005. "Finite buffer polling models with routing," European Journal of Operational Research, Elsevier, vol. 165(3), pages 794-809, September.

    Cited by:

    1. Gregory Dobson & Hsiao-Hui Lee & Arvind Sainathan & Vera Tilson, 2012. "A Queueing Model to Evaluate the Impact of Patient "Batching" on Throughput and Flow Time in a Medical Teaching Facility," Manufacturing & Service Operations Management, INFORMS, vol. 14(4), pages 584-599, October.
    2. Mu-Song Chen & Hao-Wei Yen, 2016. "A two-stage approach in solving the state probabilities of the multi-queue //1 model," International Journal of Systems Science, Taylor & Francis Journals, vol. 47(5), pages 1230-1244, April.
    3. Chen, Jung-Tai, 2008. "Queueing models of certain manufacturing cells under product-mix sequencing rules," European Journal of Operational Research, Elsevier, vol. 188(3), pages 826-837, August.

  31. Supatgiat, Chonawee & Zhang, Rachel Q & Birge, John R, 2001. "Equilibrium Values in a Competitive Power Exchange Market," Computational Economics, Springer;Society for Computational Economics, vol. 17(1), pages 93-121, February.

    Cited by:

    1. Majid Al-Gwaiz & Xiuli Chao & Owen Q. Wu, 2017. "Understanding How Generation Flexibility and Renewable Energy Affect Power Market Competition," Manufacturing & Service Operations Management, INFORMS, vol. 19(1), pages 114-131, February.
    2. Holmberg, Pär & Newbery, David & Ralph, Daniel, 2009. "Supply Function Equilibria: Step Functions and Continuous Representations," Working Paper Series 788, Research Institute of Industrial Economics.
    3. Iván Blanco, Juan Ignacio Peña, and Rosa Rodriguez, 2018. "Modelling Electricity Swaps with Stochastic Forward Premium Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2).
    4. Chonawee Supatgiat & John R. Birge & Rachel Q. Zhang, 2002. "Optimal Bidding Strategies in Non-Sealed Bid Online Auctions of Common Products with Quantity Uncertainty," Game Theory and Information 0211005, University Library of Munich, Germany, revised 05 Mar 2003.
    5. MacCormack, John & Hollis, Aidan & Zareipour, Hamidreza & Rosehart, William, 2010. "The large-scale integration of wind generation: Impacts on price, reliability and dispatchable conventional suppliers," Energy Policy, Elsevier, vol. 38(7), pages 3837-3846, July.
    6. Vicki Knoblauch, 2004. "Can a Newly Proposed Mechanism for Allocating Contracts in U.S. Electricity Wholesale Markets Lead to Lower Prices? A Game Theoretic Analysis," Working papers 2004-41, University of Connecticut, Department of Economics, revised Mar 2006.
    7. Philip J. Neame & Andrew B. Philpott & Geoffrey Pritchard, 2003. "Offer Stack Optimization in Electricity Pool Markets," Operations Research, INFORMS, vol. 51(3), pages 397-408, June.

  32. Samer Takriti & John R. Birge, 2000. "Lagrangian Solution Techniques and Bounds for Loosely Coupled Mixed-Integer Stochastic Programs," Operations Research, INFORMS, vol. 48(1), pages 91-98, February.

    Cited by:

    1. Escudero Bueno, Laureano F. & Garín Martín, María Araceli & Merino Maestre, María & Pérez Sainz de Rozas, Gloria, 2005. "A two-stage stochastic integer programming approach," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    2. M A Lejeune, 2008. "Preprocessing techniques and column generation algorithms for stochastically efficient demand," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(9), pages 1239-1252, September.
    3. Escudero Bueno, Laureano F. & Garín Martín, María Araceli & Pérez Sainz de Rozas, Gloria & Unzueta Inchaurbe, Aitziber, 2010. "Lagrangean decomposition for large-scale two-stage stochastic mixed 0-1 problems," BILTOKI 1134-8984, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    4. Borodin, Valeria & Bourtembourg, Jean & Hnaien, Faicel & Labadie, Nacima, 2015. "A multi-step rolled forward chance-constrained model and a proactive dynamic approach for the wheat crop quality control problem," European Journal of Operational Research, Elsevier, vol. 246(2), pages 631-640.
    5. Fangzhou Yan & Huaxin Qiu & Dongya Han, 2023. "Lagrangian Heuristic for Multi-Depot Technician Planning of Product Distribution and Installation with a Lunch Break," Mathematics, MDPI, vol. 11(3), pages 1-22, January.
    6. L. Escudero & A. Garín & M. Merino & G. Pérez, 2007. "A two-stage stochastic integer programming approach as a mixture of Branch-and-Fix Coordination and Benders Decomposition schemes," Annals of Operations Research, Springer, vol. 152(1), pages 395-420, July.
    7. Antonio Frangioni, 2005. "About Lagrangian Methods in Integer Optimization," Annals of Operations Research, Springer, vol. 139(1), pages 163-193, October.
    8. Jiang, Ruiwei & Zhang, Muhong & Li, Guang & Guan, Yongpei, 2014. "Two-stage network constrained robust unit commitment problem," European Journal of Operational Research, Elsevier, vol. 234(3), pages 751-762.
    9. L. Escudero & M. Garín & G. Pérez & A. Unzueta, 2012. "Lagrangian Decomposition for large-scale two-stage stochastic mixed 0-1 problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 20(2), pages 347-374, July.
    10. Beltran-Royo, C., 2017. "Two-stage stochastic mixed-integer linear programming: The conditional scenario approach," Omega, Elsevier, vol. 70(C), pages 31-42.
    11. Eguía Ribero, María Isabel & Garín Martín, María Araceli & Unzueta Inchaurbe, Aitziber, 2018. "Generating cluster submodels from two-stage stochastic mixed integer optimization models," BILTOKI 31248, Universidad del País Vasco - Departamento de Economía Aplicada III (Econometría y Estadística).
    12. Steeger, Gregory & Rebennack, Steffen, 2017. "Dynamic convexification within nested Benders decomposition using Lagrangian relaxation: An application to the strategic bidding problem," European Journal of Operational Research, Elsevier, vol. 257(2), pages 669-686.
    13. Escudero, Laureano F. & Landete, Mercedes & Rodríguez-Chía, Antonio M., 2011. "Stochastic set packing problem," European Journal of Operational Research, Elsevier, vol. 211(2), pages 232-240, June.

  33. L. Dai & C. H. Chen & J. R. Birge, 2000. "Convergence Properties of Two-Stage Stochastic Programming," Journal of Optimization Theory and Applications, Springer, vol. 106(3), pages 489-509, September.

    Cited by:

    1. Merve Bodur & James R. Luedtke, 2017. "Mixed-Integer Rounding Enhanced Benders Decomposition for Multiclass Service-System Staffing and Scheduling with Arrival Rate Uncertainty," Management Science, INFORMS, vol. 63(7), pages 2073-2091, July.
    2. Huifu Xu & Dali Zhang, 2012. "Monte Carlo methods for mean-risk optimization and portfolio selection," Computational Management Science, Springer, vol. 9(1), pages 3-29, February.
    3. Özdemir, Deniz & Yücesan, Enver & Herer, Yale T., 2013. "Multi-location transshipment problem with capacitated production," European Journal of Operational Research, Elsevier, vol. 226(3), pages 425-435.
    4. Lin, Q.G. & Huang, G.H. & Bass, B. & Qin, X.S., 2009. "IFTEM: An interval-fuzzy two-stage stochastic optimization model for regional energy systems planning under uncertainty," Energy Policy, Elsevier, vol. 37(3), pages 868-878, March.
    5. Hu, Jian & Bansal, Manish & Mehrotra, Sanjay, 2018. "Robust decision making using a general utility set," European Journal of Operational Research, Elsevier, vol. 269(2), pages 699-714.
    6. Jörg Fliege & Huifu Xu, 2011. "Stochastic Multiobjective Optimization: Sample Average Approximation and Applications," Journal of Optimization Theory and Applications, Springer, vol. 151(1), pages 135-162, October.
    7. L. Shao & X. Qin & Y. Xu, 2011. "A Conditional Value-at-Risk Based Inexact Water Allocation Model," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(9), pages 2125-2145, July.
    8. Lin, Q.G. & Huang, G.H., 2010. "An inexact two-stage stochastic energy systems planning model for managing greenhouse gas emission at a municipal level," Energy, Elsevier, vol. 35(5), pages 2270-2280.
    9. Mingqiang Yin & Min Huang & Xiaohu Qian & Dazhi Wang & Xingwei Wang & Loo Hay Lee, 2023. "Fourth-party logistics network design with service time constraint under stochastic demand," Journal of Intelligent Manufacturing, Springer, vol. 34(3), pages 1203-1227, March.
    10. Vlasta Kaňková, 2013. "Risk Measures in Optimization Problems via Empirical Estimates," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 7(3), pages 162-177, November.
    11. Shane S. Drew & Tito Homem-de-Mello, 2012. "Some Large Deviations Results for Latin Hypercube Sampling," Methodology and Computing in Applied Probability, Springer, vol. 14(2), pages 203-232, June.
    12. Li, G.C. & Huang, G.H. & Lin, Q.G. & Zhang, X.D. & Tan, Q. & Chen, Y.M., 2011. "Development of a GHG-mitigation oriented inexact dynamic model for regional energy system management," Energy, Elsevier, vol. 36(5), pages 3388-3398.
    13. Tahir Ekin & Nicholas G. Polson & Refik Soyer, 2014. "Augmented Markov Chain Monte Carlo Simulation for Two-Stage Stochastic Programs with Recourse," Decision Analysis, INFORMS, vol. 11(4), pages 250-264, December.
    14. Yang, Xin & Chen, Anthony & Ning, Bin & Tang, Tao, 2016. "A stochastic model for the integrated optimization on metro timetable and speed profile with uncertain train mass," Transportation Research Part B: Methodological, Elsevier, vol. 91(C), pages 424-445.
    15. Zhenfang Liu & Yang Zhou & Gordon Huang & Bin Luo, 2019. "Risk Aversion Based Inexact Stochastic Dynamic Programming Approach for Water Resources Management Planning under Uncertainty," Sustainability, MDPI, vol. 11(24), pages 1-22, December.
    16. Huifu Xu & Dali Zhang, 2013. "Stochastic Nash equilibrium problems: sample average approximation and applications," Computational Optimization and Applications, Springer, vol. 55(3), pages 597-645, July.
    17. ZhenFang Liu & GuoHe Huang, 2009. "Dual-Interval Two-Stage Optimization for Flood Management and Risk Analyses," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(11), pages 2141-2162, September.
    18. P. Guo & G. Huang & L. He & H. Zhu, 2009. "Interval-parameter Two-stage Stochastic Semi-infinite Programming: Application to Water Resources Management under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(5), pages 1001-1023, March.
    19. Maqsood, Imran & Huang, Guo H. & Scott Yeomans, Julian, 2005. "An interval-parameter fuzzy two-stage stochastic program for water resources management under uncertainty," European Journal of Operational Research, Elsevier, vol. 167(1), pages 208-225, November.
    20. C. Li & L. Zhang, 2015. "An Inexact Two-Stage Allocation Model for Water Resources Management Under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(6), pages 1823-1841, April.
    21. John R. Birge, 2023. "Uses of Sub-sample Estimates to Reduce Errors in Stochastic Optimization Models," Papers 2310.07052, arXiv.org.

  34. J. R. Birge & L. Qi & Z. Wei, 1998. "Convergence Analysis of Some Methods for Minimizing a Nonsmooth Convex Function," Journal of Optimization Theory and Applications, Springer, vol. 97(2), pages 357-383, May.

    Cited by:

    1. Tsegay Giday Woldu & Haibin Zhang & Xin Zhang & Yemane Hailu Fissuh, 2020. "A Modified Nonlinear Conjugate Gradient Algorithm for Large-Scale Nonsmooth Convex Optimization," Journal of Optimization Theory and Applications, Springer, vol. 185(1), pages 223-238, April.
    2. Sha Lu & Zengxin Wei & Lue Li, 2012. "A trust region algorithm with adaptive cubic regularization methods for nonsmooth convex minimization," Computational Optimization and Applications, Springer, vol. 51(2), pages 551-573, March.
    3. Gonglin Yuan & Zehong Meng & Yong Li, 2016. "A Modified Hestenes and Stiefel Conjugate Gradient Algorithm for Large-Scale Nonsmooth Minimizations and Nonlinear Equations," Journal of Optimization Theory and Applications, Springer, vol. 168(1), pages 129-152, January.
    4. Gonglin Yuan & Zengxin Wei & Zhongxing Wang, 2013. "Gradient trust region algorithm with limited memory BFGS update for nonsmooth convex minimization," Computational Optimization and Applications, Springer, vol. 54(1), pages 45-64, January.

  35. John R. Birge & Charles H. Rosa, 1996. "Incorporating Investment Uncertainty into Greenhouse Policy Models," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 79-89.

    Cited by:

    1. Baranzini, Andrea & Chesney, Marc & Morisset, Jacques, 2003. "The impact of possible climate catastrophes on global warming policy," Energy Policy, Elsevier, vol. 31(8), pages 691-701, June.
    2. W. Botzen & Jeroen Bergh, 2014. "Specifications of Social Welfare in Economic Studies of Climate Policy: Overview of Criteria and Related Policy Insights," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 58(1), pages 1-33, May.
    3. Kanudia, Amit & Loulou, Richard, 1998. "Robust responses to climate change via stochastic MARKAL: The case of Quebec," European Journal of Operational Research, Elsevier, vol. 106(1), pages 15-30, April.
    4. Lin, Tyrone T. & Ko, Chuan-Chuan & Yeh, Hsin-Ni, 2007. "Applying real options in investment decisions relating to environmental pollution," Energy Policy, Elsevier, vol. 35(4), pages 2426-2432, April.
    5. van den Bergh, Jeroen C.J.M., 2008. "Optimal diversity: Increasing returns versus recombinant innovation," Journal of Economic Behavior & Organization, Elsevier, vol. 68(3-4), pages 565-580, December.
    6. Bistline, John E., 2015. "Electric sector capacity planning under uncertainty: Climate policy and natural gas in the US," Energy Economics, Elsevier, vol. 51(C), pages 236-251.
    7. van den Bergh, Jeroen C. J. M., 2004. "Optimal climate policy is a utopia: from quantitative to qualitative cost-benefit analysis," Ecological Economics, Elsevier, vol. 48(4), pages 385-393, April.
    8. Svensson, Elin & Berntsson, Thore & Strömberg, Ann-Brith & Patriksson, Michael, 2009. "An optimization methodology for identifying robust process integration investments under uncertainty," Energy Policy, Elsevier, vol. 37(2), pages 680-685, February.

  36. John R. Birge & Marilyn J. Maddox, 1995. "Bounds on Expected Project Tardiness," Operations Research, INFORMS, vol. 43(5), pages 838-850, October.

    Cited by:

    1. Ho-Yin Mak & Ying Rong & Jiawei Zhang, 2015. "Appointment Scheduling with Limited Distributional Information," Management Science, INFORMS, vol. 61(2), pages 316-334, February.
    2. Jorgensen, Trond & Wallace, Stein W., 2000. "Improving project cost estimation by taking into account managerial flexibility," European Journal of Operational Research, Elsevier, vol. 127(2), pages 239-251, December.
    3. Karthik Natarajan & Dongjian Shi & Kim-Chuan Toh, 2014. "A Probabilistic Model for Minmax Regret in Combinatorial Optimization," Operations Research, INFORMS, vol. 62(1), pages 160-181, February.
    4. Davaadorjin Monhor, 2011. "A new probabilistic approach to the path criticality in stochastic PERT," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 19(4), pages 615-633, December.
    5. Li, Xiaobo & Natarajan, Karthik & Teo, Chung-Piaw & Zheng, Zhichao, 2014. "Distributionally robust mixed integer linear programs: Persistency models with applications," European Journal of Operational Research, Elsevier, vol. 233(3), pages 459-473.
    6. Vo[ss], Stefan & Witt, Andreas, 2007. "Hybrid flow shop scheduling as a multi-mode multi-project scheduling problem with batching requirements: A real-world application," International Journal of Production Economics, Elsevier, vol. 105(2), pages 445-458, February.
    7. Pieter Kleer & Johan van Leeuwaarden, 2022. "Optimal Stopping Theory for a Distributionally Robust Seller," Papers 2206.02477, arXiv.org, revised Jun 2022.
    8. Xuan Vinh Doan & Karthik Natarajan, 2012. "On the Complexity of Nonoverlapping Multivariate Marginal Bounds for Probabilistic Combinatorial Optimization Problems," Operations Research, INFORMS, vol. 60(1), pages 138-149, February.

  37. Birge, John R. & Rosa, Charles H., 1995. "Modeling investment uncertainty in the costs of global CO2 emission policy," European Journal of Operational Research, Elsevier, vol. 83(3), pages 466-488, June.

    Cited by:

    1. Krukanont, Pongsak & Tezuka, Tetsuo, 2007. "Implications of capacity expansion under uncertainty and value of information: The near-term energy planning of Japan," Energy, Elsevier, vol. 32(10), pages 1809-1824.
    2. Kleijnen, J.P.C., 1995. "Sensitivity analysis and related analysis : A survey of statistical techniques," Other publications TiSEM bcf947da-25e3-431d-a1f6-6, Tilburg University, School of Economics and Management.
    3. Thomas Dangl & Franz Wirl, 2007. "The consequences of irreversibility on optimal intertemporal emission policies under uncertainty," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 15(2), pages 143-166, June.
    4. C.H. Rosa, 1994. "Pathways of Economic Development in an Uncertain Environment: A Finite Scenario Approach to the U.S. Region Under Carbon Emission Restrictions," Working Papers wp94041, International Institute for Applied Systems Analysis.
    5. Wirl, Franz, 2006. "Consequences of irreversibilities on optimal intertemporal CO2 emission policies under uncertainty," Resource and Energy Economics, Elsevier, vol. 28(2), pages 105-123, May.
    6. Janne Kettunen, Derek W. Bunn and William Blyth & Derek W. Bunn & William Blyth, 2011. "Investment Propensities under Carbon Policy Uncertainty," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 77-118.
    7. Dupacova, Jitka, 2002. "Applications of stochastic programming: Achievements and questions," European Journal of Operational Research, Elsevier, vol. 140(2), pages 281-290, July.
    8. Takanobu Kosugi, 2010. "Assessments of ‘Greenhouse Insurance’: A Methodological Review," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 17(4), pages 345-363, December.
    9. Tolis, Athanasios & Doukelis, Aggelos & Tatsiopoulos, Ilias, 2010. "Stochastic interest rates in the analysis of energy investments: Implications on economic performance and sustainability," Applied Energy, Elsevier, vol. 87(8), pages 2479-2490, August.

  38. John R. Birge & James K. Ho, 1993. "Optimal Flows in Stochastic Dynamic Networks with Congestion," Operations Research, INFORMS, vol. 41(1), pages 203-216, February.

    Cited by:

    1. Satish Ukkusuri & S. Waller, 2008. "Linear Programming Models for the User and System Optimal Dynamic Network Design Problem: Formulations, Comparisons and Extensions," Networks and Spatial Economics, Springer, vol. 8(4), pages 383-406, December.
    2. Zhao, Chunxue & Fu, Baibai & Wang, Tianming, 2014. "Braess paradox and robustness of traffic networks under stochastic user equilibrium," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 135-141.
    3. Xinhua Mao & Jianwei Wang & Changwei Yuan & Wei Yu & Jiahua Gan, 2018. "A Dynamic Traffic Assignment Model for the Sustainability of Pavement Performance," Sustainability, MDPI, vol. 11(1), pages 1-19, December.

  39. James C. Bean & John R. Birge & John Mittenthal & Charles E. Noon, 1991. "Matchup Scheduling with Multiple Resources, Release Dates and Disruptions," Operations Research, INFORMS, vol. 39(3), pages 470-483, June.

    Cited by:

    1. Ramesh Bollapragada & Norman M. Sadeh, 2004. "Proactive release procedures for just‐in‐time job shop environments, subject to machine failures," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(7), pages 1018-1044, October.
    2. Alagoz, Oguzhan & Azizoglu, Meral, 2003. "Rescheduling of identical parallel machines under machine eligibility constraints," European Journal of Operational Research, Elsevier, vol. 149(3), pages 523-532, September.
    3. Wang, Dujuan & Yin, Yunqiang & Cheng, T.C.E., 2018. "Parallel-machine rescheduling with job unavailability and rejection," Omega, Elsevier, vol. 81(C), pages 246-260.
    4. Jain, S. & Foley, W.J., 2016. "Dispatching strategies for managing uncertainties in automated manufacturing systems," European Journal of Operational Research, Elsevier, vol. 248(1), pages 328-341.
    5. Herroelen, Willy & Leus, Roel, 2004. "The construction of stable project baseline schedules," European Journal of Operational Research, Elsevier, vol. 156(3), pages 550-565, August.
    6. Qi, Xiangtong & Bard, Jonathan F. & Yu, Gang, 2006. "Disruption management for machine scheduling: The case of SPT schedules," International Journal of Production Economics, Elsevier, vol. 103(1), pages 166-184, September.
    7. M Ozlen & M Azizoğlu, 2011. "Rescheduling unrelated parallel machines with total flow time and total disruption cost criteria," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 152-164, January.
    8. Yin, Yunqiang & Wang, Yan & Cheng, T.C.E. & Liu, Wenqi & Li, Jinhai, 2017. "Parallel-machine scheduling of deteriorating jobs with potential machine disruptions," Omega, Elsevier, vol. 69(C), pages 17-28.
    9. Bryan A. Norman & James C. Bean, 1999. "A genetic algorithm methodology for complex scheduling problems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 46(2), pages 199-211, March.
    10. Liu, Zhixin & Lu, Liang & Qi, Xiangtong, 2018. "Cost allocation in rescheduling with machine unavailable period," European Journal of Operational Research, Elsevier, vol. 266(1), pages 16-28.
    11. Constantin Waubert de Puiseau & Richard Meyes & Tobias Meisen, 2022. "On reliability of reinforcement learning based production scheduling systems: a comparative survey," Journal of Intelligent Manufacturing, Springer, vol. 33(4), pages 911-927, April.
    12. Novak, Antonin & Sucha, Premysl & Hanzalek, Zdenek, 2019. "Scheduling with uncertain processing times in mixed-criticality systems," European Journal of Operational Research, Elsevier, vol. 279(3), pages 687-703.
    13. S. David Wu & Eui-Seok Byeon & Robert H. Storer, 1999. "A Graph-Theoretic Decomposition of the Job Shop Scheduling Problem to Achieve Scheduling Robustness," Operations Research, INFORMS, vol. 47(1), pages 113-124, February.
    14. Michele E. Pfund & John W. Fowler, 2017. "Extending the boundaries between scheduling and dispatching: hedging and rescheduling techniques," International Journal of Production Research, Taylor & Francis Journals, vol. 55(11), pages 3294-3307, June.
    15. Sabuncuoglu, I. & Bayiz, M., 2000. "Analysis of reactive scheduling problems in a job shop environment," European Journal of Operational Research, Elsevier, vol. 126(3), pages 567-586, November.
    16. Jian Yang & Xiangtong Qi & Gang Yu, 2005. "Disruption management in production planning," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 420-442, August.
    17. Wenchang Luo & Taibo Luo & Randy Goebel & Guohui Lin, 2018. "Rescheduling due to machine disruption to minimize the total weighted completion time," Journal of Scheduling, Springer, vol. 21(5), pages 565-578, October.
    18. Cowling, Peter & Johansson, Marcus, 2002. "Using real time information for effective dynamic scheduling," European Journal of Operational Research, Elsevier, vol. 139(2), pages 230-244, June.
    19. Nickolas K. Freeman & Sharif H. Melouk & John Mittenthal, 2016. "A Scenario-Based Approach for Operating Theater Scheduling Under Uncertainty," Manufacturing & Service Operations Management, INFORMS, vol. 18(2), pages 245-261, May.
    20. Selcuk Goren & Ihsan Sabuncuoglu & Utku Koc, 2012. "Optimization of schedule stability and efficiency under processing time variability and random machine breakdowns in a job shop environment," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(1), pages 26-38, February.
    21. Imai, Akio & Nishimura, Etsuko & Papadimitriou, Stratos, 2001. "The dynamic berth allocation problem for a container port," Transportation Research Part B: Methodological, Elsevier, vol. 35(4), pages 401-417, May.
    22. Nicholas G. Hall & Chris N. Potts, 2010. "Rescheduling for Job Unavailability," Operations Research, INFORMS, vol. 58(3), pages 746-755, June.
    23. Herroelen, Willy & Leus, Roel, 2005. "Project scheduling under uncertainty: Survey and research potentials," European Journal of Operational Research, Elsevier, vol. 165(2), pages 289-306, September.
    24. Nicholas G. Hall & Chris N. Potts, 2004. "Rescheduling for New Orders," Operations Research, INFORMS, vol. 52(3), pages 440-453, June.
    25. Seddik, Yasmina & Hanzálek, Zdenek, 2017. "Match-up scheduling of mixed-criticality jobs: Maximizing the probability of jobs execution," European Journal of Operational Research, Elsevier, vol. 262(1), pages 46-59.
    26. Wenchang Luo & Rylan Chin & Alexander Cai & Guohui Lin & Bing Su & An Zhang, 2022. "A tardiness-augmented approximation scheme for rejection-allowed multiprocessor rescheduling," Journal of Combinatorial Optimization, Springer, vol. 44(1), pages 690-722, August.
    27. Nicholas G. Hall & Marc E. Posner & Chris N. Potts, 2021. "Online production planning to maximize the number of on-time orders," Annals of Operations Research, Springer, vol. 298(1), pages 249-269, March.
    28. Jürgen Kuster & Dietmar Jannach & Gerhard Friedrich, 2010. "Applying Local Rescheduling in response to schedule disruptions," Annals of Operations Research, Springer, vol. 180(1), pages 265-282, November.
    29. Yin, Yunqiang & Cheng, T.C.E. & Wang, Du-Juan, 2016. "Rescheduling on identical parallel machines with machine disruptions to minimize total completion time," European Journal of Operational Research, Elsevier, vol. 252(3), pages 737-749.

  40. J. Birge & J. B. G. Frenk & J. Mittenthal & A. H. G. Rinnooy Kan, 1990. "Single‐machine scheduling subject to stochastic breakdowns," Naval Research Logistics (NRL), John Wiley & Sons, vol. 37(5), pages 661-677, October.

    Cited by:

    1. Jian Yang & Gang Yu, 2002. "On the Robust Single Machine Scheduling Problem," Journal of Combinatorial Optimization, Springer, vol. 6(1), pages 17-33, March.
    2. X. Cai & F. S. Tu, 1996. "Scheduling jobs with random processing times on a single machine subject to stochastic breakdowns to minimize early‐tardy penalties," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(8), pages 1127-1146, December.
    3. Xiaoqiang Cai & Xianyi Wu & Xian Zhou, 2009. "Stochastic Scheduling Subject to Preemptive-Repeat Breakdowns with Incomplete Information," Operations Research, INFORMS, vol. 57(5), pages 1236-1249, October.
    4. Zhenpeng Li & Congdian Cheng, 2023. "The Expected Competitive Ratio on a Kind of Stochastic-Online Flowtime Scheduling with Machine Subject to an Uncertain Breakdown," Mathematics, MDPI, vol. 11(11), pages 1-12, May.
    5. Xiaoqiang Cai & Xianyi Wu & Xian Zhou, 2021. "Optimal unrestricted dynamic stochastic scheduling with partial losses of work due to breakdowns," Annals of Operations Research, Springer, vol. 298(1), pages 43-64, March.
    6. Sid Browne & Kevin D. Glazebrook, 1996. "Scheduling jobs that are subject to failure propagation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(2), pages 265-288, March.
    7. K. D. Glazebrook, 1992. "Single‐machine scheduling of stochastic jobs subject to deterioration or delay," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(5), pages 613-633, August.
    8. Xiaoqiang Cai & Xiaoqian Sun & Xian Zhou, 2004. "Stochastic scheduling subject to machine breakdowns: The preemptive‐repeat model with discounted reward and other criteria," Naval Research Logistics (NRL), John Wiley & Sons, vol. 51(6), pages 800-817, September.
    9. Umar M. Al‐Turki & John Mittenthal & M. Raghavachari, 1996. "The single‐machine absolute‐deviation early‐tardy problem with random completion times," Naval Research Logistics (NRL), John Wiley & Sons, vol. 43(4), pages 573-587, June.
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    3. Denise D. Tönissen & Joachim J. Arts & Zuo-Jun Max Shen, 2021. "A column-and-constraint generation algorithm for two-stage stochastic programming problems," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 29(3), pages 781-798, October.
    4. Blanchot, Xavier & Clautiaux, François & Detienne, Boris & Froger, Aurélien & Ruiz, Manuel, 2023. "The Benders by batch algorithm: Design and stabilization of an enhanced algorithm to solve multicut Benders reformulation of two-stage stochastic programs," European Journal of Operational Research, Elsevier, vol. 309(1), pages 202-216.
    5. N. Edirisinghe & E. Patterson, 2007. "Multi-period stochastic portfolio optimization: Block-separable decomposition," Annals of Operations Research, Springer, vol. 152(1), pages 367-394, July.
    6. Pavlo Glushko & Csaba I. Fábián & Achim Koberstein, 2022. "An L-shaped method with strengthened lift-and-project cuts," Computational Management Science, Springer, vol. 19(4), pages 539-565, October.
    7. Bernardes Real, Luiza & O'Kelly, Morton & de Miranda, Gilberto & Saraiva de Camargo, Ricardo, 2018. "The gateway hub location problem," Journal of Air Transport Management, Elsevier, vol. 73(C), pages 95-112.
    8. Li, M.W. & Li, Y.P. & Huang, G.H., 2011. "An interval-fuzzy two-stage stochastic programming model for planning carbon dioxide trading under uncertainty," Energy, Elsevier, vol. 36(9), pages 5677-5689.
    9. Placido dos Santos, Felipe Silva & Oliveira, Fabricio, 2019. "An enhanced L-Shaped method for optimizing periodic-review inventory control problems modeled via two-stage stochastic programming," European Journal of Operational Research, Elsevier, vol. 275(2), pages 677-693.
    10. Vladimirou, Hercules, 1998. "Computational assessment of distributed decomposition methods for stochastic linear programs," European Journal of Operational Research, Elsevier, vol. 108(3), pages 653-670, August.
    11. Jacek Gondzio & Roy Kouwenberg, 2001. "High-Performance Computing for Asset-Liability Management," Operations Research, INFORMS, vol. 49(6), pages 879-891, December.
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    13. Michelle Bandarra & Vincent Guigues, 2021. "Single cut and multicut stochastic dual dynamic programming with cut selection for multistage stochastic linear programs: convergence proof and numerical experiments," Computational Management Science, Springer, vol. 18(2), pages 125-148, June.
    14. Martin Biel & Mikael Johansson, 2022. "Efficient Stochastic Programming in Julia," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1885-1902, July.
    15. Gopalakrishnan Easwaran & Halit Üster, 2009. "Tabu Search and Benders Decomposition Approaches for a Capacitated Closed-Loop Supply Chain Network Design Problem," Transportation Science, INFORMS, vol. 43(3), pages 301-320, August.
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    18. Aghalari, Amin & Nur, Farjana & Marufuzzaman, Mohammad, 2020. "A Bender’s based nested decomposition algorithm to solve a stochastic inland waterway port management problem considering perishable product," International Journal of Production Economics, Elsevier, vol. 229(C).
    19. Aakil M. Caunhye & Xiaofeng Nie, 2018. "A Stochastic Programming Model for Casualty Response Planning During Catastrophic Health Events," Transportation Science, INFORMS, vol. 52(2), pages 437-453, March.
    20. Li, Na & Jiang, Yue & Zhang, Zhi-Hai, 2021. "A two-stage ambiguous stochastic program for electric vehicle charging station location problem with valet charging service," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 149-171.
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    22. Teodor Gabriel Crainic & Mike Hewitt & Francesca Maggioni & Walter Rei, 2021. "Partial Benders Decomposition: General Methodology and Application to Stochastic Network Design," Transportation Science, INFORMS, vol. 55(2), pages 414-435, March.
    23. Mohammad Marufuzzaman & Farjana Nur & Amy E. Bednar & Mark Cowan, 2020. "Enhancing Benders decomposition algorithm to solve a combat logistics problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 161-198, March.
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    1. CHEVALIER, Philippe & LAMAS, Alejandro & LU, Lian & MLINAR, Tanja, 2015. "Revenue management for operations with urgent orders," LIDAM Reprints CORE 2628, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
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    4. Ali Fattahi & Sriram Dasu & Reza Ahmadi, 2023. "Peak-Load Energy Management by Direct Load Control Contracts," Management Science, INFORMS, vol. 69(5), pages 2788-2813, May.
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    7. Selvaprabu Nadarajah & Andre A. Cire, 2020. "Network-Based Approximate Linear Programming for Discrete Optimization," Operations Research, INFORMS, vol. 68(6), pages 1767-1786, November.

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    1. Deyi Liu & Quoc Tran-Dinh, 2020. "An Inexact Interior-Point Lagrangian Decomposition Algorithm with Inexact Oracles," Journal of Optimization Theory and Applications, Springer, vol. 185(3), pages 903-926, June.
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    3. Unai Aldasoro & Laureano Escudero & María Merino & Juan Monge & Gloria Pérez, 2015. "On parallelization of a stochastic dynamic programming algorithm for solving large-scale mixed 0–1 problems under uncertainty," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 23(3), pages 703-742, October.
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    5. N. Edirisinghe & E. Patterson, 2007. "Multi-period stochastic portfolio optimization: Block-separable decomposition," Annals of Operations Research, Springer, vol. 152(1), pages 367-394, July.
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    7. Eun, Joonyup & Kim, Sang-Phil & Yih, Yuehwern & Tiwari, Vikram, 2019. "Scheduling elective surgery patients considering time-dependent health urgency: Modeling and solution approaches," Omega, Elsevier, vol. 86(C), pages 137-153.
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    1. Bartsch, Thomas & Kröger, Stefan, 1996. "Ein Entscheidungs-Unterstützungs-System zur Erstellung von Spielplänen für die Fußballbundesliga," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 427, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    2. Matthew J. Drake & Serhan Duran & Paul M. Griffin & Julie L. Swann, 2008. "Optimal timing of switches between product sales for sports and entertainment tickets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(1), pages 59-75, February.
    3. Saltzman, Robert M. & Bradford, Richard M., 1996. "Optimal realignments of the teams in the National Football League," European Journal of Operational Research, Elsevier, vol. 93(3), pages 469-475, September.
    4. Rasmussen, Rasmus V. & Trick, Michael A., 2008. "Round robin scheduling - a survey," European Journal of Operational Research, Elsevier, vol. 188(3), pages 617-636, August.
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    6. Guillermo Durán & Mario Guajardo & Jaime Miranda & Denis Sauré & Sebastián Souyris & Andres Weintraub & Rodrigo Wolf, 2007. "Scheduling the Chilean Soccer League by Integer Programming," Interfaces, INFORMS, vol. 37(6), pages 539-552, December.
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