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Norman Keith Womer

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. Alidaee, Bahram & Li, Haitao & Wang, Haibo & Womer, Keith, 2021. "Integer programming formulations in sequencing with total earliness and tardiness penalties, arbitrary due dates, and no idle time: A concise review and extension," Omega, Elsevier, vol. 103(C).

    Cited by:

    1. Sang, Yao-Wen & Wang, Jun-Qiang & Sterna, Małgorzata & Błażewicz, Jacek, 2023. "Single machine scheduling with due date assignment to minimize the total weighted lead time penalty and late work," Omega, Elsevier, vol. 121(C).
    2. Sterna, Małgorzata, 2021. "Late and early work scheduling: A survey," Omega, Elsevier, vol. 104(C).
    3. Zhang, Hongbin & Yang, Yu & Wu, Feng, 2024. "Scheduling a set of jobs with convex piecewise linear cost functions on a single-batch-processing machine," Omega, Elsevier, vol. 122(C).
    4. Zhang, Zhe & Gong, Xue & Song, Xiaoling & Yin, Yong & Lev, Benjamin & Chen, Jie, 2022. "A column generation-based exact solution method for seru scheduling problems," Omega, Elsevier, vol. 108(C).
    5. Tan, Zhen & Fu, Guanqi, 2024. "Just-in-time scheduling problem with affine idleness cost," European Journal of Operational Research, Elsevier, vol. 313(3), pages 954-976.

  2. Womer, K. & Li, H. & Camm, J. & Osterman, C. & Radhakrishnan, R., 2017. "Learning and Bayesian updating in long cycle made-to-order (MTO) production," Omega, Elsevier, vol. 69(C), pages 29-42.

    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.

  3. Li, Haitao & Womer, Norman K., 2015. "Solving stochastic resource-constrained project scheduling problems by closed-loop approximate dynamic programming," European Journal of Operational Research, Elsevier, vol. 246(1), pages 20-33.

    Cited by:

    1. Zhu, Xia & Ruiz, Rubén & Li, Shiyu & Li, Xiaoping, 2017. "An effective heuristic for project scheduling with resource availability cost," European Journal of Operational Research, Elsevier, vol. 257(3), pages 746-762.
    2. Deng, Qichen & Santos, Bruno F., 2022. "Lookahead approximate dynamic programming for stochastic aircraft maintenance check scheduling optimization," European Journal of Operational Research, Elsevier, vol. 299(3), pages 814-833.
    3. Brčić, Mario & Katić, Marija & Hlupić, Nikica, 2019. "Planning horizons based proactive rescheduling for stochastic resource-constrained project scheduling problems," European Journal of Operational Research, Elsevier, vol. 273(1), pages 58-66.
    4. Salim Rostami & Stefan Creemers & Roel Leus, 2018. "New strategies for stochastic resource-constrained project scheduling," Journal of Scheduling, Springer, vol. 21(3), pages 349-365, June.
    5. Balouka, Noemie & Cohen, Izack, 2021. "A robust optimization approach for the multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 291(2), pages 457-470.
    6. 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.
    7. Ripon K. Chakrabortty & Ruhul A. Sarker & Daryl L. Essam, 2020. "Single mode resource constrained project scheduling with unreliable resources," Operational Research, Springer, vol. 20(3), pages 1369-1403, September.
    8. Sha, Yue & Zhang, Junlong & Cao, Hui, 2021. "Multistage stochastic programming approach for joint optimization of job scheduling and material ordering under endogenous uncertainties," European Journal of Operational Research, Elsevier, vol. 290(3), pages 886-900.
    9. Morteza Davari & Erik Demeulemeester, 2019. "Important classes of reactions for the proactive and reactive resource-constrained project scheduling problem," Annals of Operations Research, Springer, vol. 274(1), pages 187-210, March.
    10. Silva, Thiago A.O. & de Souza, Mauricio C., 2020. "Surgical scheduling under uncertainty by approximate dynamic programming," Omega, Elsevier, vol. 95(C).
    11. Thul, Lawrence & Powell, Warren, 2023. "Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 325-338.
    12. 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.
    13. Xichao Su & Wei Han & Yu Wu & Yong Zhang & Jie Liu, 2018. "A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations," Complexity, Hindawi, vol. 2018, pages 1-38, November.
    14. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
    15. Satic, U. & Jacko, P. & Kirkbride, C., 2024. "A simulation-based approximate dynamic programming approach to dynamic and stochastic resource-constrained multi-project scheduling problem," European Journal of Operational Research, Elsevier, vol. 315(2), pages 454-469.
    16. Marlin W. Ulmer, 2020. "Horizontal combinations of online and offline approximate dynamic programming for stochastic dynamic vehicle routing," 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. 28(1), pages 279-308, March.
    17. Hongli Yu & Yuelin Gao & Le Wang & Jiangtao Meng, 2020. "A Hybrid Particle Swarm Optimization Algorithm Enhanced with Nonlinear Inertial Weight and Gaussian Mutation for Job Shop Scheduling Problems," Mathematics, MDPI, vol. 8(8), pages 1-17, August.
    18. Ulmer, Marlin W. & Thomas, Barrett W., 2020. "Meso-parametric value function approximation for dynamic customer acceptances in delivery routing," European Journal of Operational Research, Elsevier, vol. 285(1), pages 183-195.

  4. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.

    Cited by:

    1. Nakandala, Dilupa & Samaranayake, Premaratne & Lau, H.C.W., 2013. "A fuzzy-based decision support model for monitoring on-time delivery performance: A textile industry case study," European Journal of Operational Research, Elsevier, vol. 225(3), pages 507-517.
    2. Venkatesh, V.G. & Rathi, Snehal & Patwa, Sriyans, 2015. "Analysis on supply chain risks in Indian apparel retail chains and proposal of risk prioritization model using Interpretive structural modeling," Journal of Retailing and Consumer Services, Elsevier, vol. 26(C), pages 153-167.
    3. Hartmann, Sönke & Briskorn, Dirk, 2022. "An updated survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 297(1), pages 1-14.
    4. Sungmin Park & Pansoo Kim, 2021. "Operational Performance Evaluation of Korean Ship Parts Manufacturing Industry Using Dynamic Network SBM Model," Sustainability, MDPI, vol. 13(23), pages 1-20, November.
    5. Christian Finnsgård & Joakim Kalantari & Zeeshan Raza & Violeta Roso & Johan Woxenius, 2018. "Swedish shippers’ strategies for coping with slow-steaming in deep sea container shipping," Journal of Shipping and Trade, Springer, vol. 3(1), pages 1-24, December.
    6. Xuejie Bai & Yankui Liu, 2016. "Robust optimization of supply chain network design in fuzzy decision system," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1131-1149, December.
    7. Hong, Zhaofu & Dai, Wei & Luh, Hsing & Yang, Chenchen, 2018. "Optimal configuration of a green product supply chain with guaranteed service time and emission constraints," European Journal of Operational Research, Elsevier, vol. 266(2), pages 663-677.
    8. Zhen, Lu, 2014. "A three-stage optimization model for production and outsourcing under China’s export-oriented tax policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 1-20.
    9. Yang, Liu & Ng, C.T., 2014. "Flexible capacity strategy with multiple market periods under demand uncertainty and investment constraint," European Journal of Operational Research, Elsevier, vol. 236(2), pages 511-521.
    10. Zhai, Yue & Hua, Guowei & Cheng, Meng & Cheng, T.C.E., 2023. "Production lead-time hedging and order allocation in an MTO supply chain," European Journal of Operational Research, Elsevier, vol. 311(3), pages 887-905.
    11. Dolgui, Alexandre & Kovalev, Sergey & Kovalyov, Mikhail Y. & Malyutin, Sergey & Soukhal, Ameur, 2018. "Optimal workforce assignment to operations of a paced assembly line," European Journal of Operational Research, Elsevier, vol. 264(1), pages 200-211.
    12. Durowoju, Olatunde A. & Chan, Hing Kai & Wang, Xiaojun & Akenroye, Temidayo, 2021. "Supply chain redesign implications to information disruption impact," International Journal of Production Economics, Elsevier, vol. 232(C).
    13. Amirhosein Gholami & Nasim Nezamoddini & Mohammad T. Khasawneh, 2023. "Customized orders management in connected make-to-order supply chains," Operations Management Research, Springer, vol. 16(3), pages 1428-1443, September.
    14. Surbhi Upadhyay & Suresh Kumar Garg & Rishu Sharma, 2023. "Analyzing the Factors for Implementing Make-to-Order Manufacturing System," Sustainability, MDPI, vol. 15(13), pages 1-22, June.
    15. Zhai, Yue & Cheng, T.C.E., 2022. "Lead-time quotation and hedging coordination in make-to-order supply chain," European Journal of Operational Research, Elsevier, vol. 300(2), pages 449-460.
    16. Shi, Xiutian & Shen, Houcai & Wu, Ting & Cheng, T.C.E., 2014. "Production planning and pricing policy in a make-to-stock system with uncertain demand subject to machine breakdowns," European Journal of Operational Research, Elsevier, vol. 238(1), pages 122-129.

  5. Haitao Li & Keith Womer, 2007. "A model and procedure for competitive bidding under resource constraints," International Journal of Operational Research, Inderscience Enterprises Ltd, vol. 2(4), pages 452-480.

    Cited by:

    1. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.

  6. N. Womer & M.-L. Bougnol & J. Dula & D. Retzlaff-Roberts, 2006. "Benefit-cost analysis using data envelopment analysis," Annals of Operations Research, Springer, vol. 145(1), pages 229-250, July.

    Cited by:

    1. Kuosmanen, Timo & Kortelainen, Mika, 2007. "Valuing environmental factors in cost-benefit analysis using data envelopment analysis," Ecological Economics, Elsevier, vol. 62(1), pages 56-65, April.
    2. Carmine Cancro & Camelia Delcea & Salvatore Fabozzi & Gabriella Ferruzzi & Giorgio Graditi & Valeria Palladino & Maria Valenti, 2022. "A Profitability Analysis for an Aggregator in the Ancillary Services Market: An Italian Case Study," Energies, MDPI, vol. 15(9), pages 1-26, April.
    3. Paweł Bogawski & Ewa Bednorz, 2016. "Atmospheric conditions controlling extreme summertime evapotranspiration in Poland (central Europe)," 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. 81(1), pages 55-69, March.

  7. M-L Bougnol & J H Dulá & D Retzlaff-Roberts & N K Womer, 2005. "Nonparametric frontier analysis with multiple constituencies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 252-266, March.

    Cited by:

    1. Xiaopeng Yang & Hiroshi Morita, 2012. "A DEA model with identical weight assignment based on multiple perspectives," International Journal of Applied Management Science, Inderscience Enterprises Ltd, vol. 4(1), pages 18-35.
    2. Wen-Chih Chen, 2021. "On performance evaluation with a dual-role factor," Annals of Operations Research, Springer, vol. 304(1), pages 63-84, September.

  8. Norman Keith Womer & Homee Shroff & Thomas Gulledge & Kingsley Haynes, 2003. "Measuring efficiency with a linear economic model," Applied Economics, Taylor & Francis Journals, vol. 35(13), pages 1459-1467.

    Cited by:

    1. Mika Kortelainen & Timo Kuosmanen, 2005. "Eco-Efficiency Analysis of Consumer Durables Using Absolute Shadow Prices," Public Economics 0511022, University Library of Munich, Germany.
    2. Kuosmanen, Timo & Bijsterbosch, Neil & Dellink, Rob, 2009. "Environmental cost-benefit analysis of alternative timing strategies in greenhouse gas abatement: A data envelopment analysis approach," Ecological Economics, Elsevier, vol. 68(6), pages 1633-1642, April.
    3. N. Womer & M.-L. Bougnol & J. Dula & D. Retzlaff-Roberts, 2006. "Benefit-cost analysis using data envelopment analysis," Annals of Operations Research, Springer, vol. 145(1), pages 229-250, July.
    4. Timo Kuosmanen & Mika Kortelainen & Timo Sipiläinen & Laurens Cherchye, 2005. "Firm and Industry Level Profit Efficiency Analysis Under Incomplete Price Data: A Nonparametric Approach based on Absolute and Uniform Shadow Prices," Microeconomics 0509011, University Library of Munich, Germany.
    5. Chun-Chu Liu, 2006. "Simulating weight restrictions in data envelopment analysis using the subjective and objective integrated approach," Applied Economics, Taylor & Francis Journals, vol. 38(21), pages 2545-2552.
    6. Kuosmanen, Timo & Kortelainen, Mika & Sipiläinen, Timo & Cherchye, Laurens, 2010. "Firm and industry level profit efficiency analysis using absolute and uniform shadow prices," European Journal of Operational Research, Elsevier, vol. 202(2), pages 584-594, April.

  9. B Alidaee & N K Womer, 1999. "Scheduling with time dependent processing times: Review and extensions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 50(7), pages 711-720, July.

    Cited by:

    1. Cheng, MingBao & Sun, ShiJie & He, LongMin, 2007. "Flow shop scheduling problems with deteriorating jobs on no-idle dominant machines," European Journal of Operational Research, Elsevier, vol. 183(1), pages 115-124, November.
    2. Chuanli Zhao & Hengyong Tang, 2016. "Scheduling Deteriorating Jobs with Availability Constraints to Minimize the Makespan," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 33(06), pages 1-10, December.
    3. Yang, Suh-Jenq & Yang, Dar-Li, 2010. "Minimizing the makespan on single-machine scheduling with aging effect and variable maintenance activities," Omega, Elsevier, vol. 38(6), pages 528-533, December.
    4. Xing Chai & Wenhua Li & Hang Yuan & Libo Wang, 2022. "Online scheduling on a single machine with linear deteriorating processing times and delivery times," Journal of Combinatorial Optimization, Springer, vol. 44(3), pages 1900-1912, October.
    5. Cheng, T. C. E. & Ding, Q. & Lin, B. M. T., 2004. "A concise survey of scheduling with time-dependent processing times," European Journal of Operational Research, Elsevier, vol. 152(1), pages 1-13, January.
    6. Janiak, Adam & Kovalyov, Mikhail Y., 2006. "Scheduling in a contaminated area: A model and polynomial algorithms," European Journal of Operational Research, Elsevier, vol. 173(1), pages 125-132, August.
    7. Wang, Ji-Bo, 2007. "Single-machine scheduling problems with the effects of learning and deterioration," Omega, Elsevier, vol. 35(4), pages 397-402, August.
    8. Stanisław Gawiejnowicz & Alexander Kononov, 2014. "Isomorphic scheduling problems," Annals of Operations Research, Springer, vol. 213(1), pages 131-145, February.
    9. C-C He & C-C Wu & W-C Lee, 2009. "Branch-and-bound and weight-combination search algorithms for the total completion time problem with step-deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1759-1766, December.
    10. A. Beynaghi & F. Moztarzadeh & A. Shahmardan & R. Alizadeh & J. Salimi & M. Mozafari, 2019. "Makespan minimization for batching work and rework process on a single facility with an aging effect: a hybrid meta-heuristic algorithm for sustainable production management," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 33-45, January.
    11. Norelhouda Sekkal & Fayçal Belkaid, 2020. "A multi-objective simulated annealing to solve an identical parallel machine scheduling problem with deterioration effect and resources consumption constraints," Journal of Combinatorial Optimization, Springer, vol. 40(3), pages 660-696, October.
    12. B M T Lin, 2007. "Complexity results for single-machine scheduling with positional learning effects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(8), pages 1099-1102, August.
    13. Ji, Min & Cheng, T.C.E., 2008. "Parallel-machine scheduling with simple linear deterioration to minimize total completion time," European Journal of Operational Research, Elsevier, vol. 188(2), pages 342-347, July.
    14. Cheng, Mingbao & Tadikamalla, Pandu R. & Shang, Jennifer & Zhang, Shaqing, 2014. "Bicriteria hierarchical optimization of two-machine flow shop scheduling problem with time-dependent deteriorating jobs," European Journal of Operational Research, Elsevier, vol. 234(3), pages 650-657.
    15. Yang, Wen-Hua & Chand, Suresh, 2008. "Learning and forgetting effects on a group scheduling problem," European Journal of Operational Research, Elsevier, vol. 187(3), pages 1033-1044, June.
    16. Wang, Ling & Sun, Lin-Yan & Sun, Lin-Hui & Wang, Ji-Bo, 2010. "On three-machine flow shop scheduling with deteriorating jobs," International Journal of Production Economics, Elsevier, vol. 125(1), pages 185-189, May.
    17. Wen-Hung Wu & Yunqiang Yin & T C E Cheng & Win-Chin Lin & Juei-Chao Chen & Shin-Yi Luo & Chin-Chia Wu, 2017. "A combined approach for two-agent scheduling with sum-of-processing-times-based learning effect," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(2), pages 111-120, February.
    18. A Janiak & M Y Kovalyov, 2008. "Scheduling jobs in a contaminated area: a model and heuristic algorithms," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(7), pages 977-987, July.
    19. W-H Kuo & D-L Yang, 2011. "A note on due-date assignment and single-machine scheduling with deteriorating jobs and learning effects," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(1), pages 206-210, January.
    20. A A K Jeng & B M T Lin, 2007. "A note on parallel-machine scheduling with deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(6), pages 824-826, June.
    21. Norelhouda Sekkal & Fayçal Belkaid, 0. "A multi-objective simulated annealing to solve an identical parallel machine scheduling problem with deterioration effect and resources consumption constraints," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-37.
    22. Wu, Chin-Chia & Lee, Wen-Chiung, 2006. "Two-machine flowshop scheduling to minimize mean flow time under linear deterioration," International Journal of Production Economics, Elsevier, vol. 103(2), pages 572-584, October.
    23. T C E Cheng & L Kang & C T Ng, 2004. "Due-date assignment and single machine scheduling with deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(2), pages 198-203, February.
    24. Kang, Liying & Ng, C.T., 2007. "A note on a fully polynomial-time approximation scheme for parallel-machine scheduling with deteriorating jobs," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 180-184, September.
    25. Cheng, T.C.E. & Yang, Suh-Jenq & Yang, Dar-Li, 2012. "Common due-window assignment and scheduling of linear time-dependent deteriorating jobs and a deteriorating maintenance activity," International Journal of Production Economics, Elsevier, vol. 135(1), pages 154-161.
    26. Min Ji & Chou-Jung Hsu & Dar-Li Yang, 2013. "Single-machine scheduling with deteriorating jobs and aging effects under an optional maintenance activity consideration," Journal of Combinatorial Optimization, Springer, vol. 26(3), pages 437-447, October.
    27. Ma, Ran & Tao, Jiping & Yuan, Jinjiang, 2016. "Online scheduling with linear deteriorating jobs to minimize the total weighted completion time," Applied Mathematics and Computation, Elsevier, vol. 273(C), pages 570-583.
    28. Min Kong & Xinbao Liu & Jun Pei & Panos M. Pardalos & Nenad Mladenovic, 2020. "Parallel-batching scheduling with nonlinear processing times on a single and unrelated parallel machines," Journal of Global Optimization, Springer, vol. 78(4), pages 693-715, December.
    29. C Lahlou & S Dauzère-Pérès, 2006. "Single-machine scheduling with time window-dependent processing times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 133-139, February.
    30. Hongfeng Wang & Min Huang & Junwei Wang, 2019. "An effective metaheuristic algorithm for flowshop scheduling with deteriorating jobs," Journal of Intelligent Manufacturing, Springer, vol. 30(7), pages 2733-2742, October.
    31. Florian Jaehn & Helmut A. Sedding, 2016. "Scheduling with time-dependent discrepancy times," Journal of Scheduling, Springer, vol. 19(6), pages 737-757, December.
    32. Zhao, Chuan-Li & Tang, Heng-Yong, 2010. "Scheduling deteriorating jobs under disruption," International Journal of Production Economics, Elsevier, vol. 125(2), pages 294-299, June.
    33. Helmut A. Sedding, 2020. "Scheduling jobs with a V-shaped time-dependent processing time," Journal of Scheduling, Springer, vol. 23(6), pages 751-768, December.
    34. Jin, Xianfei & Li, Kunpeng & Sivakumar, Appa Iyer, 2013. "Scheduling and optimal delivery time quotation for customers with time sensitive demand," International Journal of Production Economics, Elsevier, vol. 145(1), pages 349-358.
    35. Li, Shisheng & Ng, C.T. & Cheng, T.C.E. & Yuan, Jinjiang, 2011. "Parallel-batch scheduling of deteriorating jobs with release dates to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 210(3), pages 482-488, May.
    36. Lodree Jr., Emmett J. & Geiger, Christopher D., 2010. "A note on the optimal sequence position for a rate-modifying activity under simple linear deterioration," European Journal of Operational Research, Elsevier, vol. 201(2), pages 644-648, March.
    37. A A K Jeng & B M T Lin, 2004. "Makespan minimization in single-machine scheduling with step-deterioration of processing times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(3), pages 247-256, March.
    38. Cheng, T.C.E. & Wu, Chin-Chia & Chen, Juei-Chao & Wu, Wen-Hsiang & Cheng, Shuenn-Ren, 2013. "Two-machine flowshop scheduling with a truncated learning function to minimize the makespan," International Journal of Production Economics, Elsevier, vol. 141(1), pages 79-86.
    39. Zhao, Chuanli & Tang, Hengyong, 2012. "Two-machine flow shop scheduling with deteriorating jobs and chain precedence constraints," International Journal of Production Economics, Elsevier, vol. 136(1), pages 131-136.
    40. Wen-Chiung Lee, 2004. "A Note on Deteriorating Jobs and Learning in Single-Machine Scheduling Problems," International Journal of Business and Economics, School of Management Development, Feng Chia University, Taichung, Taiwan, vol. 3(1), pages 83-89, April.
    41. Black, Gary W. & McKay, Kenneth N. & Morton, Thomas E., 2006. "Aversion scheduling in the presence of risky jobs," European Journal of Operational Research, Elsevier, vol. 175(1), pages 338-361, November.
    42. W-H Kuo & D-L Yang, 2008. "Minimizing the makespan in a single-machine scheduling problem with the cyclic process of an aging effect," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(3), pages 416-420, March.
    43. J-B Wang & Z-Q Xia, 2006. "Flow shop scheduling problems with deteriorating jobs under dominating machines," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 220-226, February.
    44. Ming Liu & Feifeng Zheng & Chengbin Chu & Jiantong Zhang, 2012. "An FPTAS for uniform machine scheduling to minimize makespan with linear deterioration," Journal of Combinatorial Optimization, Springer, vol. 23(4), pages 483-492, May.
    45. Sun, Lin-Hui & Sun, Lin-Yan & Wang, Ming-Zheng & Wang, Ji-Bo, 2012. "Flow shop makespan minimization scheduling with deteriorating jobs under dominating machines," International Journal of Production Economics, Elsevier, vol. 138(1), pages 195-200.
    46. L-H Sun & L-Y Sun & J-B Wang, 2011. "Single-machine scheduling to minimize total absolute differences in waiting times with deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 768-775, April.
    47. Angel, E. & Bampis, E., 2005. "A multi-start dynasearch algorithm for the time dependent single-machine total weighted tardiness scheduling problem," European Journal of Operational Research, Elsevier, vol. 162(1), pages 281-289, April.
    48. T.C. Edwin Cheng & Qing Ding & Mikhail Y. Kovalyov & Aleksander Bachman & Adam Janiak, 2003. "Scheduling jobs with piecewise linear decreasing processing times," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(6), pages 531-554, September.
    49. W-H Kuo & C-J Hsu & D-L Yang, 2009. "A note on unrelated parallel machine scheduling with time-dependent processing times," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 431-434, March.
    50. Ocetkiewicz, Krzysztof M., 2010. "A FPTAS for minimizing total completion time in a single machine time-dependent scheduling problem," European Journal of Operational Research, Elsevier, vol. 203(2), pages 316-320, June.
    51. Wang, Xiuli & Edwin Cheng, T.C., 2007. "Single-machine scheduling with deteriorating jobs and learning effects to minimize the makespan," European Journal of Operational Research, Elsevier, vol. 178(1), pages 57-70, April.
    52. Li, Shisheng & Ng, C.T. & Yuan, Jinjiang, 2011. "Scheduling deteriorating jobs with CON/SLK due date assignment on a single machine," International Journal of Production Economics, Elsevier, vol. 131(2), pages 747-751, June.
    53. Stanisław Gawiejnowicz, 2020. "A review of four decades of time-dependent scheduling: main results, new topics, and open problems," Journal of Scheduling, Springer, vol. 23(1), pages 3-47, February.
    54. Kai-biao Sun & Hong-xing Li, 2009. "Some single-machine scheduling problems with actual time and position dependent learning effects," Fuzzy Information and Engineering, Springer, vol. 1(2), pages 161-177, June.
    55. Al-Anzi, Fawaz S. & Allahverdi, Ali & Kovalyov, Mikhail Y., 2007. "Batching deteriorating items with applications in computer communication and reverse logistics," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1002-1011, November.
    56. Shakeri, Shakib & Logendran, Rasaratnam, 2007. "A mathematical programming-based scheduling framework for multitasking environments," European Journal of Operational Research, Elsevier, vol. 176(1), pages 193-209, January.
    57. Xing Chai & Wenhua Li & Hang Yuan & Libo Wang, 0. "Online scheduling on a single machine with linear deteriorating processing times and delivery times," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-13.
    58. J-B Wang & J-J Wang & P Ji, 2011. "Scheduling jobs with chain precedence constraints and deteriorating jobs," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1765-1770, September.
    59. Bahram Alidaee & Haibo Wang & R. Bryan Kethley & Frank Landram, 2019. "A unified view of parallel machine scheduling with interdependent processing rates," Journal of Scheduling, Springer, vol. 22(5), pages 499-515, October.
    60. Gawiejnowicz, Stanislaw & Kurc, Wieslaw & Pankowska, Lidia, 2009. "Equivalent time-dependent scheduling problems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 919-929, August.
    61. Sawik, Tadeusz, 2010. "An integer programming approach to scheduling in a contaminated area," Omega, Elsevier, vol. 38(3-4), pages 179-191, June.
    62. Hui Zhu & Min Li & Zhangjin Zhou & Yun You, 2016. "Due-window assignment and scheduling with general position-dependent processing times involving a deteriorating and compressible maintenance activity," International Journal of Production Research, Taylor & Francis Journals, vol. 54(12), pages 3475-3490, June.
    63. Rachaniotis, Nikolaos P. & Dasaklis, Tom K. & Pappis, Costas P., 2012. "A deterministic resource scheduling model in epidemic control: A case study," European Journal of Operational Research, Elsevier, vol. 216(1), pages 225-231.
    64. Delorme, Maxence & Iori, Manuel & Mendes, Nilson F.M., 2021. "Solution methods for scheduling problems with sequence-dependent deterioration and maintenance events," European Journal of Operational Research, Elsevier, vol. 295(3), pages 823-837.
    65. Klamroth, Kathrin & Wiecek, Margaret M., 2001. "A time-dependent multiple criteria single-machine scheduling problem," European Journal of Operational Research, Elsevier, vol. 135(1), pages 17-26, November.
    66. Wu, Chin-Chia & Lee, Wen-Chiung, 2008. "Single-machine group-scheduling problems with deteriorating setup times and job-processing times," International Journal of Production Economics, Elsevier, vol. 115(1), pages 128-133, September.
    67. Cheng, T.C.E. & Shafransky, Y. & Ng, C.T., 2016. "An alternative approach for proving the NP-hardness of optimization problems," European Journal of Operational Research, Elsevier, vol. 248(1), pages 52-58.
    68. Lee, Wen-Chiung & Shiau, Yau-Ren & Chen, Shiuan-Kang & Wu, Chin-Chia, 2010. "A two-machine flowshop scheduling problem with deteriorating jobs and blocking," International Journal of Production Economics, Elsevier, vol. 124(1), pages 188-197, March.
    69. S Gawiejnowicz & W-C Lee & C-L Lin & C-C Wu, 2011. "Single-machine scheduling of proportionally deteriorating jobs by two agents," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1983-1991, November.
    70. Cheng He & Joseph Y.-T. Leung, 2017. "Two-agent scheduling of time-dependent jobs," Journal of Combinatorial Optimization, Springer, vol. 34(2), pages 362-377, August.
    71. Dar-Li Yang & Wen-Hung Kuo, 2009. "Single-machine scheduling with both deterioration and learning effects," Annals of Operations Research, Springer, vol. 172(1), pages 315-327, November.
    72. Sun, Linhui & Sun, Linyan & Cui, Kai & Wang, Ji-Bo, 2010. "A note on flow shop scheduling problems with deteriorating jobs on no-idle dominant machines," European Journal of Operational Research, Elsevier, vol. 200(1), pages 309-311, January.
    73. Sheng Yu, 2015. "An optimal single-machine scheduling with linear deterioration rate and rate-modifying activities," Journal of Combinatorial Optimization, Springer, vol. 30(2), pages 242-252, August.
    74. Cheng, Yushao & Sun, Shijie, 2009. "Scheduling linear deteriorating jobs with rejection on a single machine," European Journal of Operational Research, Elsevier, vol. 194(1), pages 18-27, April.

  10. Caporaletti, L. E. & Dulá, J. H. & Womer, N. K., 1999. "Performance evaluation based on multiple attributes with nonparametric frontiers," Omega, Elsevier, vol. 27(6), pages 637-645, December.

    Cited by:

    1. Giannis Karagiannis, 2017. "On aggregate composite indicators," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 741-746, July.
    2. Färe, Rolf & Karagiannis, Giannis, 2014. "Benefit-of-the-doubt aggregation and the diet problem," Omega, Elsevier, vol. 47(C), pages 33-35.
    3. Panagiotis Ravanos & Giannis Karagiannis, 2020. "Tricks with the BoD model and an application to the e-Government Development Index," Discussion Paper Series 2020_02, Department of Economics, University of Macedonia, revised May 2020.
    4. M-L Bougnol & J H Dulá & D Retzlaff-Roberts & N K Womer, 2005. "Nonparametric frontier analysis with multiple constituencies," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 252-266, March.
    5. Greta Falavigna, 2006. "Models for Default Risk Analysis: Focus on Artificial Neural Networks, Model Comparisons, Hybrid Frameworks," CERIS Working Paper 200610, CNR-IRCrES Research Institute on Sustainable Economic Growth - Torino (TO) ITALY - former Institute for Economic Research on Firms and Growth - Moncalieri (TO) ITALY.
    6. N. Womer & M.-L. Bougnol & J. Dula & D. Retzlaff-Roberts, 2006. "Benefit-cost analysis using data envelopment analysis," Annals of Operations Research, Springer, vol. 145(1), pages 229-250, July.
    7. Giannis Karagiannis & Georgia Paschalidou, 2017. "Assessing research effectiveness: a comparison of alternative nonparametric models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(4), pages 456-468, April.
    8. Yang, Guo-liang & Yang, Jian-Bo & Xu, Dong-Ling & Khoveyni, Mohammad, 2017. "A three-stage hybrid approach for weight assignment in MADM," Omega, Elsevier, vol. 71(C), pages 93-105.
    9. Garcia-Cestona, Miguel & Surroca, Jordi, 2008. "Multiple goals and ownership structure: Effects on the performance of Spanish savings banks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 582-599, June.
    10. Mohammad Izadikhah & Reza Farzipoor Saen, 2019. "Solving voting system by data envelopment analysis for assessing sustainability of suppliers," Group Decision and Negotiation, Springer, vol. 28(3), pages 641-669, June.
    11. Bougnol, M.-L. & Dulá, J.H. & Estellita Lins, M.P. & Moreira da Silva, A.C., 2010. "Enhancing standard performance practices with DEA," Omega, Elsevier, vol. 38(1-2), pages 33-45, February.
    12. Marie-Laure Bougnol & José Dulá, 2006. "Validating DEA as a ranking tool: An application of DEA to assess performance in higher education," Annals of Operations Research, Springer, vol. 145(1), pages 339-365, July.
    13. Färe, Rolf & Karagiannis, Giannis & Hasannasab, Maryam & Margaritis, Dimitris, 2019. "A benefit-of-the-doubt model with reverse indicators," European Journal of Operational Research, Elsevier, vol. 278(2), pages 394-400.
    14. I Horowitz, 2003. "Preference-neutral attribute weights in the journal-ranking problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(5), pages 452-457, May.
    15. Karagiannis, Roxani & Karagiannis, Giannis, 2018. "Intra- and inter-group composite indicators using the BoD model," Socio-Economic Planning Sciences, Elsevier, vol. 61(C), pages 44-51.
    16. Karagiannis, Giannis, 2023. "Aggregating faculty members’ research effectiveness to the department or university level: Exact versus approximate solutions," Socio-Economic Planning Sciences, Elsevier, vol. 90(C).
    17. Karagiannis, Roxani & Karagiannis, Giannis, 2023. "Nonparametric estimates of price efficiency for the Greek infant milk market: Curing the curse of dimensionality with shannon entropy," Economic Modelling, Elsevier, vol. 121(C).
    18. Ying-Ming Wang & Ying Luo & Yi-Song Xu, 2013. "Cross-Weight Evaluation for Pairwise Comparison Matrices," Group Decision and Negotiation, Springer, vol. 22(3), pages 483-497, May.

  11. Blenman, L. P. & Cantrell, R. S. & Fennell, R. E. & Parker, D. F. & Reneke, J. A. & Wang, L. F. S. & Womer, N. K., 1995. "An alternative approach to stochastic calculus for economic and financial models," Journal of Economic Dynamics and Control, Elsevier, vol. 19(3), pages 553-568, April.

    Cited by:

    1. Lim, Terence & Lo, Andrew W. & Merton, Robert C. & Scholes, Myron S., 2006. "The Derivatives Sourcebook," Foundations and Trends(R) in Finance, now publishers, vol. 1(5–6), pages 365-572, April.
    2. Assoc. Prof. Romeo Negrea Ph. D & Assoc. Prof. Ciprian Preda Ph. D & Assoc. Prof. Ioan Lala Popa, 2010. "A Stochastic Modeling For The Unstable Financial Markets," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 2(38), pages 1-8, May.

  12. James R. Dorroh & Thomas R. Gulledge & Norman K. Womer, 1994. "Investment in Knowledge: A Generalization of Learning By Experience," Management Science, INFORMS, vol. 40(8), pages 947-958, August.

    Cited by:

    1. Voros, Jozsef, 2006. "The dynamics of price, quality and productivity improvement decisions," European Journal of Operational Research, Elsevier, vol. 170(3), pages 809-823, May.
    2. Samaddar, Subhashish & Kadiyala, Savitha S., 2006. "An analysis of interorganizational resource sharing decisions in collaborative knowledge creation," European Journal of Operational Research, Elsevier, vol. 170(1), pages 192-210, April.
    3. Cheryl Gaimon & Gülru F. Özkan & Karen Napoleon, 2011. "Dynamic Resource Capabilities: Managing Workforce Knowledge with a Technology Upgrade," Organization Science, INFORMS, vol. 22(6), pages 1560-1578, December.
    4. Terrence August & Hyoduk Shin & Tunay I. Tunca, 2018. "Generating Value Through Open Source: Software Service Market Regulation and Licensing Policy," Information Systems Research, INFORMS, vol. 29(1), pages 186-205, March.
    5. Terrence August & Wei Chen & Kevin Zhu, 2021. "Competition Among Proprietary and Open-Source Software Firms: The Role of Licensing in Strategic Contribution," Management Science, INFORMS, vol. 67(5), pages 3041-3066, May.
    6. Vekstein, Daniel, 1998. "Managing Knowledge and Corporate Performance: an Empirical Analysis of the World Automobile Industry," Omega, Elsevier, vol. 26(5), pages 551-568, October.
    7. Janice E. Carrillo & Cheryl Gaimon, 2004. "Managing Knowledge-Based Resource Capabilities Under Uncertainty," Management Science, INFORMS, vol. 50(11), pages 1504-1518, November.
    8. Sanjeev Bordoloi, 2006. "A control rule for recruitment planning in engineering consultancy," Journal of Productivity Analysis, Springer, vol. 26(2), pages 147-163, October.
    9. Vörös, József, 2003. "A minőség figyelembevételének szükségessége az egyensúlyi állapot meghatározásában [The need to consider quality when determining a state of equilibrium]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(1), pages 6-21.
    10. Christopher D. Ittner & Venky Nagar & Madhav V. Rajan, 2001. "An Empirical Examination of Dynamic Quality-Based Learning Models," Management Science, INFORMS, vol. 47(4), pages 563-578, April.
    11. Fernandes, Rui & Gouveia, Borges & Pinho, Carlos, 2013. "A real options approach to labour shifts planning under different service level targets," European Journal of Operational Research, Elsevier, vol. 231(1), pages 182-189.
    12. Terwiesch, Christian & E. Bohn, Roger, 2001. "Learning and process improvement during production ramp-up," International Journal of Production Economics, Elsevier, vol. 70(1), pages 1-19, March.
    13. Tarakci, Hakan & Tang, Kwei & Teyarachakul, Sunantha, 2009. "Learning effects on maintenance outsourcing," European Journal of Operational Research, Elsevier, vol. 192(1), pages 138-150, January.
    14. George Li & S. Rajagopalan, 1998. "Process Improvement, Quality, and Learning Effects," Management Science, INFORMS, vol. 44(11-Part-1), pages 1517-1532, November.
    15. Li, Georgi & Rajagopalan, S., 1998. "A learning curve model with knowledge depreciation," European Journal of Operational Research, Elsevier, vol. 105(1), pages 143-154, February.
    16. Régis Chenavaz & Sajjad M. Jasimuddin, 2017. "An analytical model of the relationship between product quality and advertising," Post-Print hal-01685892, HAL.
    17. Vörös, József, 2008. "A kereslet hatása az árak, a minőség és a fejlesztési döntések dinamikájára [The effect of demand on the dynamics of prices, quality and development decisions]," Közgazdasági Szemle (Economic Review - monthly of the Hungarian Academy of Sciences), Közgazdasági Szemle Alapítvány (Economic Review Foundation), vol. 0(12), pages 1094-1115.
    18. Matthew S. Goldberg & Thomas P. Frazier, 1994. "Employment and utilization of engineers among defense contractors," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(7), pages 853-874, December.
    19. Vörös, József, 2013. "Multi-period models for analyzing the dynamics of process improvement activities," European Journal of Operational Research, Elsevier, vol. 230(3), pages 615-623.
    20. Morrison, J. Bradley, 2008. "Putting the learning curve in context," Journal of Business Research, Elsevier, vol. 61(11), pages 1182-1190, November.
    21. Janice E. Carrillo & Cheryl Gaimon, 2000. "Improving Manufacturing Performance Through Process Change and Knowledge Creation," Management Science, INFORMS, vol. 46(2), pages 265-288, February.
    22. Bordoloi, Sanjeev K. & Matsuo, Hirofumi, 2001. "Human resource planning in knowledge-intensive operations: A model for learning with stochastic turnover," European Journal of Operational Research, Elsevier, vol. 130(1), pages 169-189, April.
    23. Anita L. Tucker & Ingrid M. Nembhard & Amy C. Edmondson, 2007. "Implementing New Practices: An Empirical Study of Organizational Learning in Hospital Intensive Care Units," Management Science, INFORMS, vol. 53(6), pages 894-907, June.
    24. Kim, Bowon, 1996. "Learning-induced control model to allocate managerial resources for production technology development," International Journal of Production Economics, Elsevier, vol. 43(2-3), pages 267-282, June.
    25. April M. Franco & MB Sarkar & Rajshree Agarwal & Raj Echambadi, 2009. "Swift and Smart: The Moderating Effects of Technological Capabilities on the Market Pioneering-Firm Survival Relationship," Management Science, INFORMS, vol. 55(11), pages 1842-1860, November.
    26. Balázs Szabó & Sándor Danka, 2022. "State aid and the learning‐by‐doing effect on product pricing," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(1), pages 228-240, January.
    27. Chihmao Hsieh, 2011. "Explicitly searching for useful inventions: dynamic relatedness and the costs of connecting versus synthesizing," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(2), pages 381-404, February.
    28. Sulin Ba & Jan Stallaert & Andrew B. Whinston, 2001. "Optimal Investment in Knowledge Within a Firm Using a Market Mechanism," Management Science, INFORMS, vol. 47(9), pages 1203-1219, September.
    29. Qin, Ruwen & Nembhard, David A., 2010. "Workforce agility for stochastically diffused conditions--A real options perspective," International Journal of Production Economics, Elsevier, vol. 125(2), pages 324-334, June.

  13. K. T. Wallenius & N. K. Womer, 1989. "Cost realism in defense contracting," Naval Research Logistics (NRL), John Wiley & Sons, vol. 36(5), pages 533-557, October.

    Cited by:

    1. Nam, K. & Chaudhury, A. & Rao, H. Raghav, 1995. "A mixed integer model of bidding strategies for outsourcing," European Journal of Operational Research, Elsevier, vol. 87(2), pages 257-273, December.

  14. Gordon W. Arbogast & Norman Keith Womer, 1988. "An error components model of cost overruns and schedule slip on army R&D programs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 367-382, June.

    Cited by:

    1. Williams, Terry, 1995. "A classified bibliography of recent research relating to project risk management," European Journal of Operational Research, Elsevier, vol. 85(1), pages 18-38, August.

  15. Dorroh, James R. & Gulledge, Thomas R. & Womer, Norman Keith, 1986. "A generalization of the learning curve," European Journal of Operational Research, Elsevier, vol. 26(2), pages 205-216, August.

    Cited by:

    1. Ngwenyama, Ojelanki & Guergachi, Aziz & McLaren, Tim, 2007. "Using the learning curve to maximize IT productivity: A decision analysis model for timing software upgrades," International Journal of Production Economics, Elsevier, vol. 105(2), pages 524-535, February.
    2. Malgorzata Plaza, 2008. "Team performance and information system implementation," Information Systems Frontiers, Springer, vol. 10(3), pages 347-359, July.

  16. Norman Keith Womer, 1984. "Estimating Learning Curves from Aggregate Monthly Data," Management Science, INFORMS, vol. 30(8), pages 982-992, August.

    Cited by:

    1. C. Lanier Benkard, 1999. "Learning and Forgetting: The Dynamics of Aircraft Production," NBER Working Papers 7127, National Bureau of Economic Research, Inc.
    2. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
    3. C. Lanier Benkard, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," NBER Working Papers 7710, National Bureau of Economic Research, Inc.
    4. Jeffrey D. Camm & Norman Keith Womer, 1987. "The cost of production breaks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(2), pages 199-205, April.
    5. Harashima, Taiji, 2014. "Division of Work and Fragmented Information: An Explanation for the Diminishing Marginal Product of Labor," MPRA Paper 56301, University Library of Munich, Germany.
    6. Harashima, Taiji, 2017. "A Theory on the Economic Impacts of Immigration," MPRA Paper 78821, University Library of Munich, Germany.
    7. Benkard, C. Lanier, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," Research Papers 1636, Stanford University, Graduate School of Business.
    8. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
    9. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.

  17. Womer, N Keith & Patterson, J Wayne, 1983. "Estimation and Testing of Learning Curves," Journal of Business & Economic Statistics, American Statistical Association, vol. 1(4), pages 265-272, October.

    Cited by:

    1. Franc{c}ois Lafond & Aimee Gotway Bailey & Jan David Bakker & Dylan Rebois & Rubina Zadourian & Patrick McSharry & J. Doyne Farmer, 2017. "How well do experience curves predict technological progress? A method for making distributional forecasts," Papers 1703.05979, arXiv.org, revised Sep 2017.
    2. Anelí Bongers, 2017. "Learning and Forgetting in the Jet Fighter Aircraft Industry," Working Papers 2017-02, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    3. Harashima, Taiji, 2009. "A Theory of Total Factor Productivity and the Convergence Hypothesis: Workers’ Innovations as an Essential Element," MPRA Paper 15508, University Library of Munich, Germany.
    4. Thomas R. Gulledge, 1999. "TECHNOLOGICAL CHANGE, THE LEARNING CURVE AND PROFITABILITY, by Jackson, D., Cheltenham, UK and Northampton, MA: Edward Elgar Publishing Inc., 1998, 240 pp., $80.00," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 20(3), pages 173-174.
    5. Hasan Özyapıcı & İlhan Dalcı & Ali Özyapıcı, 2017. "Integrating accounting and multiplicative calculus: an effective estimation of learning curve," Computational and Mathematical Organization Theory, Springer, vol. 23(2), pages 258-270, June.
    6. Harashima, Taiji, 2014. "Division of Work and Fragmented Information: An Explanation for the Diminishing Marginal Product of Labor," MPRA Paper 56301, University Library of Munich, Germany.
    7. Harashima, Taiji, 2017. "A Theory on the Economic Impacts of Immigration," MPRA Paper 78821, University Library of Munich, Germany.
    8. Erum Toor & Tanweer Ul Islam, 2019. "Power Comparison of Autocorrelation Tests in Dynamic Models," International Econometric Review (IER), Econometric Research Association, vol. 11(2), pages 58-69, September.
    9. Yanrong Li & Lai Wei & Wei Jiang, 2021. "A Two-stage Pricing Strategy Considering Learning Effects and Word-of-Mouth," Papers 2110.11581, arXiv.org.
    10. Harashima, Taiji, 2011. "A Model of Total Factor Productivity Built on Hayek’s View of Knowledge: What Really Went Wrong with Socialist Planned Economies?," MPRA Paper 29107, University Library of Munich, Germany.
    11. Harashima, Taiji, 2012. "A Theory of Intelligence and Total Factor Productivity: Value Added Reflects the Fruits of Fluid Intelligence," MPRA Paper 43151, University Library of Munich, Germany.

  18. Womer, Norman K. & Gulledge, Thomas Jr, 1983. "A dynamic cost function for an airframe production program," Engineering Costs and Production Economics, Elsevier, vol. 7(3), pages 213-227, September.

    Cited by:

    1. Banani Dhar & Thomas R. Gulledge, 1988. "Resource efficiency in aircraft production," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 443-458, June.
    2. Jeffrey D. Camm & Norman Keith Womer, 1987. "The cost of production breaks," Naval Research Logistics (NRL), John Wiley & Sons, vol. 34(2), pages 199-205, April.

  19. Norman Keith Womer, 1979. "Learning Curves, Production Rate, and Program Costs," Management Science, INFORMS, vol. 25(4), pages 312-319, April.

    Cited by:

    1. C. Lanier Benkard, 2000. "Learning and Forgetting: The Dynamics of Aircraft Production," American Economic Review, American Economic Association, vol. 90(4), pages 1034-1054, September.
    2. Scott F. Rockart & Nilanjana Dutt, 2015. "The rate and potential of capability development trajectories," Strategic Management Journal, Wiley Blackwell, vol. 36(1), pages 53-75, January.
    3. Anelí Bongers, 2017. "Learning and Forgetting in the Jet Fighter Aircraft Industry," Working Papers 2017-02, Universidad de Málaga, Department of Economic Theory, Málaga Economic Theory Research Center.
    4. Womer, K. & Li, H. & Camm, J. & Osterman, C. & Radhakrishnan, R., 2017. "Learning and Bayesian updating in long cycle made-to-order (MTO) production," Omega, Elsevier, vol. 69(C), pages 29-42.
    5. Battaïa, Olga & Dolgui, Alexandre, 2013. "A taxonomy of line balancing problems and their solutionapproaches," International Journal of Production Economics, Elsevier, vol. 142(2), pages 259-277.
    6. C. Lanier Benkard, 1999. "Learning and Forgetting: The Dynamics of Aircraft Production," NBER Working Papers 7127, National Bureau of Economic Research, Inc.
    7. Li, Haitao & Womer, Keith, 2012. "Optimizing the supply chain configuration for make-to-order manufacturing," European Journal of Operational Research, Elsevier, vol. 221(1), pages 118-128.
    8. Nadeau, Marie-Claude & Kar, Ashish & Roth, Richard & Kirchain, Randolph, 2010. "A dynamic process-based cost modeling approach to understand learning effects in manufacturing," International Journal of Production Economics, Elsevier, vol. 128(1), pages 223-234, November.
    9. C. Lanier Benkard, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," NBER Working Papers 7710, National Bureau of Economic Research, Inc.
    10. Sengupta, Jati K., 2000. "Quality and efficiency," Economic Modelling, Elsevier, vol. 17(2), pages 195-207, April.
    11. Régis Chenavaz & Sajjad M. Jasimuddin, 2017. "An analytical model of the relationship between product quality and advertising," Post-Print hal-01685892, HAL.
    12. Banani Dhar & Thomas R. Gulledge, 1988. "Resource efficiency in aircraft production," Naval Research Logistics (NRL), John Wiley & Sons, vol. 35(3), pages 443-458, June.
    13. Benkard, C. Lanier, 2000. "A Dynamic Analysis of the Market for Wide-Bodied Commercial Aircraft," Research Papers 1636, Stanford University, Graduate School of Business.

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