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Dynamic Assortment with Demand Learning for Seasonal Consumer Goods

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Cited by:

  1. Victor Martínez-de-Albéniz & Sumit Kunnumkal, 2022. "A Model for Integrated Inventory and Assortment Planning," Management Science, INFORMS, vol. 68(7), pages 5049-5067, July.
  2. Zhang, Bin & Duan, Dongxia & Ma, Yurui, 2018. "Multi-product expedited ordering with demand forecast updates," International Journal of Production Economics, Elsevier, vol. 206(C), pages 196-208.
  3. Ilan Lobel, 2021. "Revenue Management and the Rise of the Algorithmic Economy," Management Science, INFORMS, vol. 67(9), pages 5389-5398, September.
  4. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
  5. Xi Chen & Yining Wang & Yuan Zhou, 2018. "Dynamic Assortment Optimization with Changing Contextual Information," Papers 1810.13069, arXiv.org, revised Jan 2019.
  6. Santiago R. Balseiro & David B. Brown & Chen Chen, 2021. "Dynamic Pricing of Relocating Resources in Large Networks," Management Science, INFORMS, vol. 67(7), pages 4075-4094, July.
  7. Borgonovo, Emanuele & Jose, Victor Richmond R. & Knowlton, Morgan & Shachter, Ross & Siebert, Johannes Ulrich & Ulu, Canan, 2026. "Fifty years of decision analysis in operational research: A review," European Journal of Operational Research, Elsevier, vol. 329(2), pages 355-377.
  8. Yigit Efe Erginbas & Thomas A. Courtade & Kannan Ramchandran, 2025. "Online Assortment and Price Optimization Under Contextual Choice Models," Papers 2503.11819, arXiv.org.
  9. Zhang, Wei & Rajaram, Kumar, 2017. "Managing limited retail space for basic products: Space sharing vs. space dedication," European Journal of Operational Research, Elsevier, vol. 263(3), pages 768-781.
  10. Malekipirbazari, Milad, 2025. "Optimizing sequential decision-making under risk: Strategic allocation with switching penalties," European Journal of Operational Research, Elsevier, vol. 321(1), pages 160-176.
  11. José Niño-Mora, 2023. "Markovian Restless Bandits and Index Policies: A Review," Mathematics, MDPI, vol. 11(7), pages 1-27, March.
  12. 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.
  13. 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.
  14. Felipe Caro & A. Gürhan Kök & Victor Martínez-de-Albéniz, 2020. "The Future of Retail Operations," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 47-58, January.
  15. Diego Aparicio & Roberto Rigobon, 2020. "Quantum Prices," NBER Working Papers 26646, National Bureau of Economic Research, Inc.
  16. Arhami, Omid & Aslani, Shirin & Talebian, Masoud, 2024. "Dynamic assortment planning and capacity allocation with logit substitution," Journal of Retailing and Consumer Services, Elsevier, vol. 76(C).
  17. Shuyun Ren & Hau-Ling Chan & Pratibha Ram, 2017. "A Comparative Study on Fashion Demand Forecasting Models with Multiple Sources of Uncertainty," Annals of Operations Research, Springer, vol. 257(1), pages 335-355, October.
  18. Canan Ulu & Dorothée Honhon & Aydın Alptekinoğlu, 2012. "Learning Consumer Tastes Through Dynamic Assortments," Operations Research, INFORMS, vol. 60(4), pages 833-849, August.
  19. Jacko, Peter & Niño Mora, José, 2009. "An index for dynamic product promotion and the knapsack problem for perishable items," DES - Working Papers. Statistics and Econometrics. WS ws093111, Universidad Carlos III de Madrid. Departamento de Estadística.
  20. Dominik Oehlschläger & Andreas H. Glas & Michael Eßig, 2024. "How Digital Twins Impact Responsiveness: A Dynamic Fit Approach to Information Processing for High-Involvement Product Demand Management," Schmalenbach Journal of Business Research, Springer, vol. 76(4), pages 661-706, December.
  21. Onesun Steve Yoo & Kevin McCardle, 2020. "The Valuator’s Curse: Decision Analysis of Overvaluation and Disappointment in Acquisition," Decision Analysis, INFORMS, vol. 17(4), pages 299-313, December.
  22. David B. Brown & James E. Smith, 2020. "Index Policies and Performance Bounds for Dynamic Selection Problems," Management Science, INFORMS, vol. 66(7), pages 3029-3050, July.
  23. Qi Chen & Qi Xu & Wenjie Wang, 2019. "Optimal Policies for the Pricing and Replenishment of Fashion Apparel considering the Effect of Fashion Level," Complexity, Hindawi, vol. 2019, pages 1-12, February.
  24. Michael Jong Kim & Andrew E.B. Lim, 2016. "Robust Multiarmed Bandit Problems," Management Science, INFORMS, vol. 62(1), pages 264-285, January.
  25. Omar Besbes & Yonatan Gur & Assaf Zeevi, 2016. "Optimization in Online Content Recommendation Services: Beyond Click-Through Rates," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 15-33, February.
  26. Dong Li & Li Ding & Stephen Connor, 2020. "When to Switch? Index Policies for Resource Scheduling in Emergency Response," Production and Operations Management, Production and Operations Management Society, vol. 29(2), pages 241-262, February.
  27. Talebian, Masoud & Boland, Natashia & Savelsbergh, Martin, 2014. "Pricing to accelerate demand learning in dynamic assortment planning for perishable products," European Journal of Operational Research, Elsevier, vol. 237(2), pages 555-565.
  28. 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.
  29. Mantrala, Murali K. & Levy, Michael & Kahn, Barbara E. & Fox, Edward J. & Gaidarev, Peter & Dankworth, Bill & Shah, Denish, 2009. "Why is Assortment Planning so Difficult for Retailers? A Framework and Research Agenda," Journal of Retailing, Elsevier, vol. 85(1), pages 71-83.
  30. Robert L. Bray & Decio Coviello & Andrea Ichino & Nicola Persico, 2016. "Multitasking, Multiarmed Bandits, and the Italian Judiciary," Manufacturing & Service Operations Management, INFORMS, vol. 18(4), pages 545-558, October.
  31. Yiangos Papanastasiou & Kostas Bimpikis & Nicos Savva, 2018. "Crowdsourcing Exploration," Management Science, INFORMS, vol. 64(4), pages 1727-1746, April.
  32. Chang Hwan Lee & Tsan‐Ming Choi & T. C. Edwin Cheng, 2021. "Operations strategies with snobbish and strategic consumers," Naval Research Logistics (NRL), John Wiley & Sons, vol. 68(3), pages 327-343, April.
  33. Yonatan Gur & Gregory Macnamara & Ilan Morgenstern & Daniela Saban, 2019. "Information Disclosure and Promotion Policy Design for Platforms," Papers 1911.09256, arXiv.org, revised Dec 2022.
  34. Kohei Kawaguchi, 2021. "When Will Workers Follow an Algorithm? A Field Experiment with a Retail Business," Management Science, INFORMS, vol. 67(3), pages 1670-1695, March.
  35. Hao Zhang, 2022. "Analytical Solution to a Discrete-Time Model for Dynamic Learning and Decision Making," Management Science, INFORMS, vol. 68(8), pages 5924-5957, August.
  36. Tom Fangyun Tan & Serguei Netessine & Lorin Hitt, 2017. "Is Tom Cruise Threatened? An Empirical Study of the Impact of Product Variety on Demand Concentration," Information Systems Research, INFORMS, vol. 28(3), pages 643-660, September.
  37. Dimitris Bertsimas & Adam J. Mersereau, 2007. "A Learning Approach for Interactive Marketing to a Customer Segment," Operations Research, INFORMS, vol. 55(6), pages 1120-1135, December.
  38. Nicolás Aramayo & Mario Schiappacasse & Marcel Goic, 2023. "A Multiarmed Bandit Approach for House Ads Recommendations," Marketing Science, INFORMS, vol. 42(2), pages 271-292, March.
  39. Vivek F. Farias & Ritesh Madan, 2011. "The Irrevocable Multiarmed Bandit Problem," Operations Research, INFORMS, vol. 59(2), pages 383-399, April.
  40. Li Chen & Adam J.Mersereau & Zhe (Frank) Wang, 2017. "Optimal Merchandise Testing with Limited Inventory," Operations Research, INFORMS, vol. 65(4), pages 968-991, August.
  41. Naderi, Siamak & Kilic, Kemal & Dasci, Abdullah, 2020. "A deterministic model for the transshipment problem of a fast fashion retailer under capacity constraints," International Journal of Production Economics, Elsevier, vol. 227(C).
  42. Fernando Bernstein & Victor Martínez-de-Albéniz, 2017. "Dynamic Product Rotation in the Presence of Strategic Customers," Management Science, INFORMS, vol. 63(7), pages 2092-2107, July.
  43. 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.
  44. Stephen Chick & Martin Forster & Paolo Pertile, 2017. "A Bayesian decision theoretic model of sequential experimentation with delayed response," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 79(5), pages 1439-1462, November.
  45. Ali Fattahi & Sriram Dasu & Reza Ahmadi, 2019. "Mass Customization and “Forecasting Options’ Penetration Rates Problem”," Operations Research, INFORMS, vol. 67(4), pages 1120-1134, July.
  46. Kawaguchi, Kohei, 2019. "When Will Workers Follow an Algorithm?: A Field Experiment with a Retail Business," SocArXiv a4d63, Center for Open Science.
  47. Elodie Adida & Georgia Perakis, 2010. "Dynamic pricing and inventory control: robust vs. stochastic uncertainty models—a computational study," Annals of Operations Research, Springer, vol. 181(1), pages 125-157, December.
  48. Denis Sauré & Assaf Zeevi, 2013. "Optimal Dynamic Assortment Planning with Demand Learning," Manufacturing & Service Operations Management, INFORMS, vol. 15(3), pages 387-404, July.
  49. Ankur Goel & Genaro J. Gutierrez, 2011. "Multiechelon Procurement and Distribution Policies for Traded Commodities," Management Science, INFORMS, vol. 57(12), pages 2228-2244, December.
  50. 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.
  51. Shipra Agrawal & Vashist Avadhanula & Vineet Goyal & Assaf Zeevi, 2019. "MNL-Bandit: A Dynamic Learning Approach to Assortment Selection," Operations Research, INFORMS, vol. 67(5), pages 1453-1485, September.
  52. Kevin Glazebrook & Joern Meissner & Jochen Schurr, 2012. "How big should my store be? On the interplay between shelf-space, demand learning and assortment decisions," Working Papers MRG/0021, Department of Management Science, Lancaster University, revised Dec 2012.
  53. Zhen-Yu Chen & Zhi-Ping Fan & Minghe Sun, 2023. "Machine Learning Methods for Data-Driven Demand Estimation and Assortment Planning Considering Cross-Selling and Substitutions," INFORMS Journal on Computing, INFORMS, vol. 35(1), pages 158-177, January.
  54. Sentao Miao & Xiuli Chao, 2021. "Dynamic Joint Assortment and Pricing Optimization with Demand Learning," Manufacturing & Service Operations Management, INFORMS, vol. 23(2), pages 525-545, March.
  55. José Niño-Mora, 2011. "Computing a Classic Index for Finite-Horizon Bandits," INFORMS Journal on Computing, INFORMS, vol. 23(2), pages 254-267, May.
  56. 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.
  57. Man Yu & Laurens Debo & Roman Kapuscinski, 2016. "Strategic Waiting for Consumer-Generated Quality Information: Dynamic Pricing of New Experience Goods," Management Science, INFORMS, vol. 62(2), pages 410-435, February.
  58. Christopher S. Tang, 2017. "OM Forum—Three Simple Approaches for Young Scholars to Identify Relevant and Novel Research Topics in Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 338-346, July.
  59. Peter Jacko, 2016. "Resource capacity allocation to stochastic dynamic competitors: knapsack problem for perishable items and index-knapsack heuristic," Annals of Operations Research, Springer, vol. 241(1), pages 83-107, June.
  60. Nathan C. Craig & Ananth Raman, 2016. "Improving Store Liquidation," Manufacturing & Service Operations Management, INFORMS, vol. 18(1), pages 89-103, February.
  61. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
  62. Ying Ding & Yanping Tu & Jingchuan Pu & Liangfei Qiu, 2021. "Environmental Factors in Operations Management: The Impact of Air Quality on Product Demand," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 2910-2924, September.
  63. 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.
  64. Felipe Caro & Victor Martínez-de-Albéniz, 2012. "Product and Price Competition with Satiation Effects," Management Science, INFORMS, vol. 58(7), pages 1357-1373, July.
  65. Qiu, Jiaqing & Li, Xiangyong & Duan, Yongrui & Chen, Mengxi & Tian, Peng, 2020. "Dynamic assortment in the presence of brand heterogeneity," Journal of Retailing and Consumer Services, Elsevier, vol. 56(C).
  66. Victor F. Araman & René Caldentey, 2009. "Dynamic Pricing for Nonperishable Products with Demand Learning," Operations Research, INFORMS, vol. 57(5), pages 1169-1188, October.
  67. Yue Dai & Tianjun Feng & Christopher S. Tang & Xiaole Wu & Fuqiang Zhang, 2020. "Twenty Years in the Making: The Evolution of the Journal of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 1-10, January.
  68. Monica Johar & Vijay Mookerjee & Sumit Sarkar, 2014. "Selling vs. Profiling: Optimizing the Offer Set in Web-Based Personalization," Information Systems Research, INFORMS, vol. 25(2), pages 285-306, June.
  69. Sabrina Backs & Hermann Jahnke & Lars Lüpke & Mareike Stücken & Christian Stummer, 2021. "Traditional versus fast fashion supply chains in the apparel industry: an agent-based simulation approach," Annals of Operations Research, Springer, vol. 305(1), pages 487-512, October.
  70. Robert J. Batt & Santiago Gallino, 2019. "Finding a Needle in a Haystack: The Effects of Searching and Learning on Pick-Worker Performance," Management Science, INFORMS, vol. 67(6), pages 2624-2645, June.
  71. Gur, Yonatan & Macnamara, Gregory & Saban, Daniela, 2020. "On the Disclosure of Promotion Value in Platforms with Learning Sellers," Research Papers 3865, Stanford University, Graduate School of Business.
  72. Haihao Lu & Luyang Zhang & Yuting Zhu, 2024. "The Power of Linear Programming in Sponsored Listings Ranking: Evidence from a Large-Scale Field Experiment," Papers 2403.14862, arXiv.org, revised Nov 2025.
  73. Yonatan Gur & Gregory Macnamara & Daniela Saban, 2022. "Sequential Procurement with Contractual and Experimental Learning," Management Science, INFORMS, vol. 68(4), pages 2714-2731, April.
  74. Diego Aparicio & Duncan Simester, 2022. "Price Frictions and the Success of New Products," Marketing Science, INFORMS, vol. 41(6), pages 1057-1073, November.
  75. Fernando Bernstein & Sajad Modaresi & Denis Sauré, 2019. "A Dynamic Clustering Approach to Data-Driven Assortment Personalization," Management Science, INFORMS, vol. 67(5), pages 2095-2115, May.
  76. Nathan Kallus & Madeleine Udell, 2020. "Dynamic Assortment Personalization in High Dimensions," Operations Research, INFORMS, vol. 68(4), pages 1020-1037, July.
  77. Kris Johnson Ferreira & Joel Goh, 2021. "Assortment Rotation and the Value of Concealment," Management Science, INFORMS, vol. 67(3), pages 1489-1507, March.
  78. 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.
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