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Juan José Miranda Bront
(Juan Jose Miranda Bront)

Personal Details

First Name:Juan Jose
Middle Name:
Last Name:Miranda Bront
Suffix:
RePEc Short-ID:pmi1026
https://jjmiranda.bitbucket.io/

Affiliation

Escuela de Negocios
Universidad Torcuato Di Tella

Buenos Aires, Argentina
http://www.utdt.edu/negocios
RePEc:edi:eeutdar (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Lera-Romero, Gonzalo & Miranda-Bront, Juan José, 2021. "A branch and cut algorithm for the time-dependent profitable tour problem with resource constraints," European Journal of Operational Research, Elsevier, vol. 289(3), pages 879-896.
  2. Juan José Miranda-Bront & Brian Curcio & Isabel Méndez-Díaz & Agustín Montero & Federico Pousa & Paula Zabala, 2017. "A cluster-first route-second approach for the swap body vehicle routing problem," Annals of Operations Research, Springer, vol. 253(2), pages 935-956, June.
  3. Agustín Montero & Juan José Miranda-Bront & Isabel Méndez-Díaz, 2017. "An ILP-based local search procedure for the VRP with pickups and deliveries," Annals of Operations Research, Springer, vol. 259(1), pages 327-350, December.
  4. Miranda-Bront, Juan José & Méndez-Díaz, Isabel & Zabala, Paula, 2014. "Facets and valid inequalities for the time-dependent travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 891-902.
  5. Juan José Miranda Bront & Isabel Méndez-Díaz & Gustavo Vulcano, 2009. "A Column Generation Algorithm for Choice-Based Network Revenue Management," Operations Research, INFORMS, vol. 57(3), pages 769-784, June.

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.

Articles

  1. Lera-Romero, Gonzalo & Miranda-Bront, Juan José, 2021. "A branch and cut algorithm for the time-dependent profitable tour problem with resource constraints," European Journal of Operational Research, Elsevier, vol. 289(3), pages 879-896.

    Cited by:

    1. Gonzalo Lera-Romero & Juan José Miranda Bront & Francisco J. Soulignac, 2022. "Dynamic Programming for the Time-Dependent Traveling Salesman Problem with Time Windows," INFORMS Journal on Computing, INFORMS, vol. 34(6), pages 3292-3308, November.

  2. Juan José Miranda-Bront & Brian Curcio & Isabel Méndez-Díaz & Agustín Montero & Federico Pousa & Paula Zabala, 2017. "A cluster-first route-second approach for the swap body vehicle routing problem," Annals of Operations Research, Springer, vol. 253(2), pages 935-956, June.

    Cited by:

    1. Sandra Huber & Jean-François Cordeau & Martin Josef Geiger, 2020. "A matheuristic for the swap body vehicle routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 111-160, March.
    2. Bhoopalam, Anirudh Kishore & Agatz, Niels & Zuidwijk, Rob, 2018. "Planning of truck platoons: A literature review and directions for future research," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 212-228.
    3. Xue, Zhaojie & Wang, Ze & You, Jintao & Peng, Wenxiang, 2026. "Collaborative modes of truck transportation: either swapping body, platooning, or both," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 205(C).
    4. Tsang, Man Yiu & Shehadeh, Karmel S., 2023. "Stochastic optimization models for a home service routing and appointment scheduling problem with random travel and service times," European Journal of Operational Research, Elsevier, vol. 307(1), pages 48-63.
    5. Kishore Bhoopalam, A. & Agatz, N.A.H. & Zuidwijk, R.A., 2017. "Planning of Truck Platoons: a Literature Review and Directions for Future Research," ERIM Report Series Research in Management ERS-2017-010-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  3. Agustín Montero & Juan José Miranda-Bront & Isabel Méndez-Díaz, 2017. "An ILP-based local search procedure for the VRP with pickups and deliveries," Annals of Operations Research, Springer, vol. 259(1), pages 327-350, December.

    Cited by:

    1. Qiuping Ni & Yuanxiang Tang, 2023. "A Bibliometric Visualized Analysis and Classification of Vehicle Routing Problem Research," Sustainability, MDPI, vol. 15(9), pages 1-37, April.
    2. Yichen Lu & Chao Yang & Jun Yang, 2022. "A multi-objective humanitarian pickup and delivery vehicle routing problem with drones," Annals of Operations Research, Springer, vol. 319(1), pages 291-353, December.
    3. Yong Wang & Qin Li & Xiangyang Guan & Jianxin Fan & Yong Liu & Haizhong Wang, 2020. "Collaboration and Resource Sharing in the Multidepot Multiperiod Vehicle Routing Problem with Pickups and Deliveries," Sustainability, MDPI, vol. 12(15), pages 1-33, July.
    4. Xuhong Cai & Li Jiang & Songhu Guo & Hejiao Huang & Hongwei Du, 2022. "TLHSA and SACA: two heuristic algorithms for two variant VRP models," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2996-3022, November.

  4. Miranda-Bront, Juan José & Méndez-Díaz, Isabel & Zabala, Paula, 2014. "Facets and valid inequalities for the time-dependent travelling salesman problem," European Journal of Operational Research, Elsevier, vol. 236(3), pages 891-902.

    Cited by:

    1. Jan Mikula & Miroslav Kulich, 2022. "Solving the traveling delivery person problem with limited computational time," 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. 30(4), pages 1451-1481, December.
    2. Lera-Romero, Gonzalo & Miranda-Bront, Juan José, 2021. "A branch and cut algorithm for the time-dependent profitable tour problem with resource constraints," European Journal of Operational Research, Elsevier, vol. 289(3), pages 879-896.
    3. Albert Einstein Fernandes Muritiba & Tibérius O. Bonates & Stênio Oliveira Da Silva & Manuel Iori, 2021. "Branch-and-Cut and Iterated Local Search for the Weighted k -Traveling Repairman Problem: An Application to the Maintenance of Speed Cameras," Transportation Science, INFORMS, vol. 55(1), pages 139-159, 1-2.
    4. Vu, Duc Minh & Hewitt, Mike & Vu, Duc D., 2022. "Solving the time dependent minimum tour duration and delivery man problems with dynamic discretization discovery," European Journal of Operational Research, Elsevier, vol. 302(3), pages 831-846.
    5. Kinable, Joris & Cire, Andre A. & van Hoeve, Willem-Jan, 2017. "Hybrid optimization methods for time-dependent sequencing problems," European Journal of Operational Research, Elsevier, vol. 259(3), pages 887-897.
    6. Cacchiani, Valentina & Contreras-Bolton, Carlos & Toth, Paolo, 2020. "Models and algorithms for the Traveling Salesman Problem with Time-dependent Service times," European Journal of Operational Research, Elsevier, vol. 283(3), pages 825-843.

  5. Juan José Miranda Bront & Isabel Méndez-Díaz & Gustavo Vulcano, 2009. "A Column Generation Algorithm for Choice-Based Network Revenue Management," Operations Research, INFORMS, vol. 57(3), pages 769-784, June.

    Cited by:

    1. Xi Chen & Chao Shi & Yining Wang & Yuan Zhou, 2021. "Dynamic Assortment Planning Under Nested Logit Models," Production and Operations Management, Production and Operations Management Society, vol. 30(1), pages 85-102, January.
    2. Ali Aouad & Vivek Farias & Retsef Levi, 2021. "Assortment Optimization Under Consider-Then-Choose Choice Models," Management Science, INFORMS, vol. 67(6), pages 3368-3386, June.
    3. Pin Gao & Yuhang Ma & Ningyuan Chen & Guillermo Gallego & Anran Li & Paat Rusmevichientong & Huseyin Topaloglu, 2021. "Assortment Optimization and Pricing Under the Multinomial Logit Model with Impatient Customers: Sequential Recommendation and Selection," Operations Research, INFORMS, vol. 69(5), pages 1509-1532, September.
    4. Mehrani, Saharnaz & Sefair, Jorge A., 2022. "Robust assortment optimization under sequential product unavailability," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1027-1043.
    5. Itai Ashlagi & Anilesh K. Krishnaswamy & Rahul Makhijani & Daniela Saban & Kirankumar Shiragur, 2022. "Technical Note—Assortment Planning for Two-Sided Sequential Matching Markets," Operations Research, INFORMS, vol. 70(5), pages 2784-2803, September.
    6. Dan Zhang, 2011. "An Improved Dynamic Programming Decomposition Approach for Network Revenue Management," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 35-52, April.
    7. Guillermo Gallego & Richard Ratliff & Sergey Shebalov, 2015. "A General Attraction Model and Sales-Based Linear Program for Network Revenue Management Under Customer Choice," Operations Research, INFORMS, vol. 63(1), pages 212-232, February.
    8. Sumit Kunnumkal & Kalyan Talluri, 2019. "Choice Network Revenue Management Based on New Tractable Approximations," Transportation Science, INFORMS, vol. 53(6), pages 1591-1608, November.
    9. Jacob Feldman & Nan Liu & Huseyin Topaloglu & Serhan Ziya, 2014. "Appointment Scheduling Under Patient Preference and No-Show Behavior," Operations Research, INFORMS, vol. 62(4), pages 794-811, August.
    10. Gerardo Berbeglia & Alvaro Flores & Guillermo Gallego, 2021. "The Refined Assortment Optimization Problem," Papers 2102.03043, arXiv.org.
    11. Anton J. Kleywegt & Hongzhang Shao, 2022. "Revenue Management Under the Markov Chain Choice Model with Joint Price and Assortment Decisions," Papers 2204.04774, arXiv.org.
    12. Alper Atamtürk & Andrés Gómez, 2020. "Submodularity in Conic Quadratic Mixed 0–1 Optimization," Operations Research, INFORMS, vol. 68(2), pages 609-630, March.
    13. David Bergman & Andre A. Cire, 2018. "Discrete Nonlinear Optimization by State-Space Decompositions," Management Science, INFORMS, vol. 64(10), pages 4700-4720, October.
    14. Fernando Bernstein & A. Gürhan Kök & Lei Xie, 2015. "Dynamic Assortment Customization with Limited Inventories," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 538-553, October.
    15. Venus Lo & Huseyin Topaloglu, 2022. "Omnichannel Assortment Optimization Under the Multinomial Logit Model with a Features Tree," Manufacturing & Service Operations Management, INFORMS, vol. 24(2), pages 1220-1240, March.
    16. Mika Sumida & Guillermo Gallego & Paat Rusmevichientong & Huseyin Topaloglu & James Davis, 2021. "Revenue-Utility Tradeoff in Assortment Optimization Under the Multinomial Logit Model with Totally Unimodular Constraints," Management Science, INFORMS, vol. 67(5), pages 2845-2869, May.
    17. Fatemeh Nosrat & William L. Cooper & Zizhuo Wang, 2021. "Pricing for a product with network effects and mixed logit demand," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(2), pages 159-182, March.
    18. Philipp Hausenblas & Dominik Eichhorn & Andreas Brieden & Matthias Soppert & Claudius Steinhardt, 2025. "Improving network dynamic pricing policies through offline reinforcement learning," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 47(4), pages 1217-1266, December.
    19. Wenchang Zhu & Paat Rusmevichientong & Huseyin Topaloglu, 2026. "A Unified Framework to Impose Market Share Constraints for Selected Product Classes: Randomized and Deterministic Assortments Under the Multinomial Logit Model," Manufacturing & Service Operations Management, INFORMS, vol. 28(1), pages 172-192, January.
    20. Fernanda Bravo & Ashvin Gandhi & Jingyuan Hu & Elisa F. Long, 2026. "Closer to Home: A Structural Estimate-Then-Optimize Approach to Improve Access to Healthcare Services," Management Science, INFORMS, vol. 72(3), pages 2345-2363, March.
    21. Chan, Rebecca & Li, Zhaolin & Matsypura, Dmytro, 2020. "Assortment optimisation problem: A distribution-free approach," Omega, Elsevier, vol. 95(C).
    22. Lin, Yun Hui & Wang, Yuan & He, Dongdong & Lee, Loo Hay, 2020. "Last-mile delivery: Optimal locker location under multinomial logit choice model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    23. Nicolas Houy & François Le Grand, 2015. "The Monte Carlo first-come-first-served heuristic for network revenue management," Working Papers halshs-01155698, HAL.
    24. Meng Qi & Ho‐Yin Mak & Zuo‐Jun Max Shen, 2020. "Data‐driven research in retail operations—A review," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(8), pages 595-616, December.
    25. Sumit Kunnumkal & Kalyan Talluri, 2016. "Technical Note—A Note on Relaxations of the Choice Network Revenue Management Dynamic Program," Operations Research, INFORMS, vol. 64(1), pages 158-166, February.
    26. Çömez-Dolgan, Nagihan & Moussawi-Haidar, Lama & Jaber, Mohamad Y. & Cephe, Ecem, 2022. "Capacitated assortment planning of a multi-location system under transshipments," International Journal of Production Economics, Elsevier, vol. 251(C).
    27. Chandrasekhar Manchiraju & Milind Dawande & Ganesh Janakiraman, 2024. "Technical Note—A Note on State-Independent Policies in Network Revenue Management," Operations Research, INFORMS, vol. 72(1), pages 277-287, January.
    28. Flores, Alvaro & Berbeglia, Gerardo & Van Hentenryck, Pascal, 2019. "Assortment optimization under the Sequential Multinomial Logit Model," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1052-1064.
    29. Ali Aouad & Jacob Feldman & Danny Segev, 2023. "The Exponomial Choice Model for Assortment Optimization: An Alternative to the MNL Model?," Management Science, INFORMS, vol. 69(5), pages 2814-2832, May.
    30. Paat Rusmevichientong & Huseyin Topaloglu, 2012. "Robust Assortment Optimization in Revenue Management Under the Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 60(4), pages 865-882, August.
    31. Fernando Bernstein & Yuan Guo, 2023. "Managing Customer Search: Assortment Planning for a Subscription Box Service," Manufacturing & Service Operations Management, INFORMS, vol. 25(5), pages 1623-1642, September.
    32. James M. Davis & Guillermo Gallego & Huseyin Topaloglu, 2014. "Assortment Optimization Under Variants of the Nested Logit Model," Operations Research, INFORMS, vol. 62(2), pages 250-273, April.
    33. Yi-Chun Akchen & Velibor V. Mišić, 2025. "Column-Randomized Linear Programs: Performance Guarantees and Applications," Operations Research, INFORMS, vol. 73(3), pages 1366-1383, May.
    34. Agrawal, Deepak & Pang, Guodong & Kumara, Soundar, 2023. "Preference based scheduling in a healthcare provider network," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1318-1335.
    35. Guillermo Gallego & Michael Z. F. Li & Yan Liu, 2020. "Dynamic Nonlinear Pricing of Inventories over Finite Sales Horizons," Operations Research, INFORMS, vol. 68(3), pages 655-670, May.
    36. Guang Li & Paat Rusmevichientong & Huseyin Topaloglu, 2015. "The d -Level Nested Logit Model: Assortment and Price Optimization Problems," Operations Research, INFORMS, vol. 63(2), pages 325-342, April.
    37. Amin Eskandari & Koorush Ziarati & Alireza Nikseresht, 2025. "Bi-objective assortment optimization under a ranking-based choice model: formulation and solution approach using NSGA-II," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 568-583, December.
    38. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    39. Yicheng Liu & Xiao Alison Chen & Yan Liu & Zizhuo Wang, 2025. "Simultaneous vs. Sequential: Optimal Assortment Recommendation in Multistore Retailing," Manufacturing & Service Operations Management, INFORMS, vol. 27(3), pages 825-842, May.
    40. Felipe Caro & Victor Martínez-de-Albéniz & Paat Rusmevichientong, 2014. "The Assortment Packing Problem: Multiperiod Assortment Planning for Short-Lived Products," Management Science, INFORMS, vol. 60(11), pages 2701-2721, November.
    41. Sumit Kunnumkal & Kalyan Talluri, 2019. "A strong Lagrangian relaxation for general discrete-choice network revenue management," Computational Optimization and Applications, Springer, vol. 73(1), pages 275-310, May.
    42. Stefanus Jasin & Chengyi Lyu & Sajjad Najafi & Huanan Zhang, 2024. "Assortment Optimization with Multi-Item Basket Purchase Under Multivariate MNL Model," Manufacturing & Service Operations Management, INFORMS, vol. 26(1), pages 215-232, January.
    43. Omar El Housni & Huseyin Topaloglu, 2023. "Joint Assortment Optimization and Customization Under a Mixture of Multinomial Logit Models: On the Value of Personalized Assortments," Operations Research, INFORMS, vol. 71(4), pages 1197-1215, July.
    44. Guan, Zhimin & Mou, Yuxia & Zhang, Jun, 2024. "Incorporating risk aversion and time preference into omnichannel retail operations considering assortment and inventory optimization," European Journal of Operational Research, Elsevier, vol. 314(2), pages 579-596.
    45. Woonghee Tim Huh & Joseph Paat & Maurice Queyranne, 2026. "Performance of the Offer-Everything Policy," Operations Research, INFORMS, vol. 74(1), pages 141-160, January.
    46. Guillermo Gallego & Huseyin Topaloglu, 2014. "Constrained Assortment Optimization for the Nested Logit Model," Management Science, INFORMS, vol. 60(10), pages 2583-2601, October.
    47. Tiwari, Richa & Jayaswal, Sachin & Sinha, Ankur, 2021. "Alternate solution approaches for competitive hub location problems," European Journal of Operational Research, Elsevier, vol. 290(1), pages 68-80.
    48. Paat Rusmevichientong & Zuo-Jun Max Shen & David B. Shmoys, 2010. "Dynamic Assortment Optimization with a Multinomial Logit Choice Model and Capacity Constraint," Operations Research, INFORMS, vol. 58(6), pages 1666-1680, December.
    49. Paat Rusmevichientong & Mika Sumida & Huseyin Topaloglu & Yicheng Bai, 2023. "Revenue Management with Heterogeneous Resources: Unit Resource Capacities, Advance Bookings, and Itineraries over Time Intervals," Operations Research, INFORMS, vol. 71(6), pages 2196-2216, November.
    50. Nicolas Houy & François Le Grand, 2015. "Financing and advising with (over)confident entrepreneurs : an experimental investigation," Working Papers 1514, Groupe d'Analyse et de Théorie Economique Lyon St-Etienne (GATE Lyon St-Etienne), Université de Lyon.
    51. Gallego, Guillermo & Li, Anran & Truong, Van-Anh & Wang, Xinshang, 2020. "Approximation algorithms for product framing and pricing," LSE Research Online Documents on Economics 101983, London School of Economics and Political Science, LSE Library.
    52. Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
    53. Dan Zhang & Larry Weatherford, 2017. "Dynamic Pricing for Network Revenue Management: A New Approach and Application in the Hotel Industry," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 18-35, February.
    54. Koch, Sebastian & Klein, Robert, 2020. "Route-based approximate dynamic programming for dynamic pricing in attended home delivery," European Journal of Operational Research, Elsevier, vol. 287(2), pages 633-652.
    55. Hoang Giang Pham & Thuy Anh Ta & Tien Mai, 2025. "An exponential cone integer programming and piece-wise linear approximation approach for 0-1 fractional programming," Journal of Combinatorial Optimization, Springer, vol. 49(5), pages 1-16, July.
    56. Yi-Chun Akchen & Felipe Caro, 2026. "On Size Substitution and Its Role in Assortment and Inventory Planning," Manufacturing & Service Operations Management, INFORMS, vol. 28(2), pages 624-642, March.
    57. Mogens Dalgaard & Antoine Boulanger & Alexander Papen & Rune T. Hansen & Thomas Fiig & Janus Wesenberg, 2025. "Application of quantum computing in choice-based network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 24(6), pages 506-523, December.
    58. Peter Seele & Claus Dierksmeier & Reto Hofstetter & Mario D. Schultz, 2021. "Mapping the Ethicality of Algorithmic Pricing: A Review of Dynamic and Personalized Pricing," Journal of Business Ethics, Springer, vol. 170(4), pages 697-719, May.
    59. Yufeng Cao & Anton J. Kleywegt & He Wang, 2022. "Network Revenue Management Under a Spiked Multinomial Logit Choice Model," Operations Research, INFORMS, vol. 70(4), pages 2237-2253, July.
    60. Zhang, Le & Azadeh, Shadi Sharif & Jiang, Hai, 2025. "Exact and heuristic algorithms for cardinality-constrained assortment optimization problem under the cross-nested logit model," European Journal of Operational Research, Elsevier, vol. 324(1), pages 183-199.
    61. Thibault Barbier & Miguel Anjos & Fabien Cirinei & Gilles Savard, 2019. "Fluid arrivals simulation for choice network revenue management," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(2), pages 164-180, April.
    62. Ali Aouad & Danny Segev, 2021. "Display Optimization for Vertically Differentiated Locations Under Multinomial Logit Preferences," Management Science, INFORMS, vol. 67(6), pages 3519-3550, June.
    63. Sebastian Koch & Jochen Gönsch & Michael Hassler & Robert Klein, 2016. "Practical decision rules for risk-averse revenue management using simulation-based optimization," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(6), pages 468-487, December.
    64. Antoine Désir & Vineet Goyal & Srikanth Jagabathula & Danny Segev, 2021. "Mallows-Smoothed Distribution over Rankings Approach for Modeling Choice," Operations Research, INFORMS, vol. 69(4), pages 1206-1227, July.
    65. Miguel A. Lejeune & Wenbo Ma, 2025. "Drone-Delivery Network for Opioid Overdose: Nonlinear Integer Queueing-Optimization Models and Methods," Operations Research, INFORMS, vol. 73(1), pages 86-108, January.
    66. Barbier, Thibault & Anjos, Miguel F. & Cirinei, Fabien & Savard, Gilles, 2020. "Product-closing approximation for ranking-based choice network revenue management," European Journal of Operational Research, Elsevier, vol. 286(3), pages 1002-1017.
    67. Georg Bechler & Claudius Steinhardt & Jochen Mackert, 2021. "On the Linear Integration of Attraction Choice Models in Business Optimization Problems," SN Operations Research Forum, Springer, vol. 2(1), pages 1-13, March.
    68. Andrés Abeliuk & Gerardo Berbeglia & Manuel Cebrian & Pascal Van Hentenryck, 2016. "Assortment optimization under a multinomial logit model with position bias and social influence," 4OR, Springer, vol. 14(1), pages 57-75, March.
    69. Strauss, Arne K. & Klein, Robert & Steinhardt, Claudius, 2018. "A review of choice-based revenue management: Theory and methods," European Journal of Operational Research, Elsevier, vol. 271(2), pages 375-387.
    70. Santiago R. Balseiro & Omar Besbes & Dana Pizarro, 2024. "Survey of Dynamic Resource-Constrained Reward Collection Problems: Unified Model and Analysis," Operations Research, INFORMS, vol. 72(5), pages 2168-2189, September.
    71. Amr Farahat & Joonkyum Lee, 2018. "The Multiproduct Newsvendor Problem with Customer Choice," Operations Research, INFORMS, vol. 66(1), pages 123-136, January.
    72. Juan S. Borrero & Colin Gillen & Oleg A. Prokopyev, 2017. "Fractional 0–1 programming: applications and algorithms," Journal of Global Optimization, Springer, vol. 69(1), pages 255-282, September.
    73. Yicheng Bai & Jacob Feldman & Huseyin Topaloglu & Laura Wagner, 2024. "Assortment Optimization Under the Multinomial Logit Model with Utility-Based Rank Cutoffs," Operations Research, INFORMS, vol. 72(4), pages 1453-1474, July.
    74. Erfan Mehmanchi & Andrés Gómez & Oleg A. Prokopyev, 2019. "Fractional 0–1 programs: links between mixed-integer linear and conic quadratic formulations," Journal of Global Optimization, Springer, vol. 75(2), pages 273-339, October.
    75. Peng Shi, 2022. "Optimal Priority-Based Allocation Mechanisms," Management Science, INFORMS, vol. 68(1), pages 171-188, January.
    76. Guillermo Gallego & Anran Li, 2024. "A Random Consideration Set Model for Demand Estimation, Assortment Optimization, and Pricing," Operations Research, INFORMS, vol. 72(6), pages 2358-2374, November.
    77. Neda Etebari Alamdari & Gilles Savard, 2021. "Deep reinforcement learning in seat inventory control problem: an action generation approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 20(5), pages 566-579, October.
    78. Jacob B. Feldman & Huseyin Topaloglu, 2015. "Capacity Constraints Across Nests in Assortment Optimization Under the Nested Logit Model," Operations Research, INFORMS, vol. 63(4), pages 812-822, August.
    79. Davina Rauhaus & Jochen Gönsch & Claudius Steinhardt, 2025. "On the value of booking data for upsell decision-making in revenue management," Flexible Services and Manufacturing Journal, Springer, vol. 37(2), pages 409-442, June.
    80. Markus Leitner & Andrea Lodi & Roberto Roberti & Claudio Sole, 2024. "An Exact Method for (Constrained) Assortment Optimization Problems with Product Costs," INFORMS Journal on Computing, INFORMS, vol. 36(2), pages 479-494, March.
    81. Yufeng Cao & Paat Rusmevichientong & Huseyin Topaloglu, 2023. "Revenue Management Under a Mixture of Independent Demand and Multinomial Logit Models," Operations Research, INFORMS, vol. 71(2), pages 603-625, March.
    82. Sumit Kunnumkal & Victor Martínez-de-Albéniz, 2019. "Tractable Approximations for Assortment Planning with Product Costs," Operations Research, INFORMS, vol. 67(2), pages 436-452, March.
    83. Wuyang Yuan & Lei Nie, 2020. "Optimization of seat allocation with fixed prices: An application of railway revenue management in China," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-25, April.
    84. C. I. Chiang, 2023. "Availability control under online reviews in hospitality," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(5), pages 385-398, October.
    85. Uzma Mushtaque & Jennifer A. Pazour, 2020. "Random Utility Models with Cardinality Context Effects for Online Subscription Service Platforms," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 19(4), pages 276-290, August.
    86. Chiwei Yan & Cynthia Barnhart & Vikrant Vaze, 2022. "Choice-Based Airline Schedule Design and Fleet Assignment: A Decomposition Approach," Transportation Science, INFORMS, vol. 56(6), pages 1410-1431, November.
    87. Wuyang Yuan & Lei Nie & Xin Wu & Huiling Fu, 2018. "A dynamic bid price approach for the seat inventory control problem in railway networks with consideration of passenger transfer," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-23, August.
    88. Kameng Nip & Zhenbo Wang & Zizhuo Wang, 2021. "Assortment Optimization under a Single Transition Choice Model," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2122-2142, July.
    89. Morad Hosseinalifam & Gilles Savard & Patrice Marcotte, 2016. "Computing booking limits under a non-parametric demand model: A mathematical programming approach," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 15(2), pages 170-184, April.
    90. Çömez-Dolgan, Nagihan & Dağ, Hilal & Fescioglu-Unver, Nilgun & Şen, Alper, 2023. "Multi-plant manufacturing assortment planning in the presence of transshipments," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1033-1050.
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