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Capacitated strategic assortment planning under explicit demand substitution

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  • Çömez-Dolgan, Nagihan
  • Fescioglu-Unver, Nilgun
  • Cephe, Ecem
  • Şen, Alper

Abstract

Buyers have easier access to a variety of products with the rise of multi-channel distribution strategies and the increase in new product introductions. On the other hand, firms experience greater pressure in offering the correct product variety given that the manufacturing infrastructure often imposes physical and financial constraints in attaining variety. This study examines a firm’s optimal assortment planning problem under an exogenous demand model, where each customer has a predetermined preference for each product from a potential set. Proportional demand substitutions are allowed from out-of-assortment products to those available. We show that the problem is NP-complete. We also show that an optimal assortment is composed of some number of the highest margin products, if one product having a higher margin than another implies that the former product has a lower demand rate than the latter. The firm’s assortment capacity is fully utilized at the optimum if the customers’ substitution ratio does not exceed a particular threshold. We also introduce several approximate assortment policies that can be easily implemented, and test these policies through extensive numerical analyses. The results reveal that some of the policies can provide less than a 1% profit gap with an optimal solution for a 20-product set. The policy’s performance highly depends on the firm’s assortment capacity-to-product set size ratio. Moreover, we provide performance bounds for two of these well-performing approximate policies.

Suggested Citation

  • Çömez-Dolgan, Nagihan & Fescioglu-Unver, Nilgun & Cephe, Ecem & Şen, Alper, 2021. "Capacitated strategic assortment planning under explicit demand substitution," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1120-1138.
  • Handle: RePEc:eee:ejores:v:294:y:2021:i:3:p:1120-1138
    DOI: 10.1016/j.ejor.2021.02.026
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    1. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions - 1," LIDAM Reprints CORE 334, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    2. Wieslaw Sadowski, 1959. "A Few Remarks on the Assortment Problem," Management Science, INFORMS, vol. 6(1), pages 13-24, October.
    3. Jacob Feldman & Alice Paul & Huseyin Topaloglu, 2019. "Technical Note—Assortment Optimization with Small Consideration Sets," Operations Research, INFORMS, vol. 67(5), pages 1283-1299, September.
    4. Negin Golrezaei & Hamid Nazerzadeh & Paat Rusmevichientong, 2014. "Real-Time Optimization of Personalized Assortments," Management Science, INFORMS, vol. 60(6), pages 1532-1551, June.
    5. Marshall Fisher & Ramnath Vaidyanathan, 2014. "A Demand Estimation Procedure for Retail Assortment Optimization with Results from Implementations," Management Science, INFORMS, vol. 60(10), pages 2401-2415, October.
    6. Srikanth Jagabathula & Paat Rusmevichientong, 2017. "Nonparametric Joint Assortment and Price Choice Model," Management Science, INFORMS, vol. 63(9), pages 3128-3145, September.
    7. Jacob Feldman & Huseyin Topaloglu, 2015. "Bounding Optimal Expected Revenues for Assortment Optimization under Mixtures of Multinomial Logits," Production and Operations Management, Production and Operations Management Society, vol. 24(10), pages 1598-1620, October.
    8. Shin, Hojung & Park, Soohoon & Lee, Euncheol & Benton, W.C., 2015. "A classification of the literature on the planning of substitutable products," European Journal of Operational Research, Elsevier, vol. 246(3), pages 686-699.
    9. Chernev, Alexander, 2012. "Product Assortment and Consumer Choice: An Interdisciplinary Review," Foundations and Trends(R) in Marketing, now publishers, vol. 6(1), pages 1-61, March.
    10. Omar Besbes & Denis Sauré, 2016. "Product Assortment and Price Competition under Multinomial Logit Demand," Production and Operations Management, Production and Operations Management Society, vol. 25(1), pages 114-127, January.
    11. Gérard P. Cachon & A. Gürhan Kök, 2007. "Category Management and Coordination in Retail Assortment Planning in the Presence of Basket Shopping Consumers," Management Science, INFORMS, vol. 53(6), pages 934-951, June.
    12. William C. Jordan & Stephen C. Graves, 1995. "Principles on the Benefits of Manufacturing Process Flexibility," Management Science, INFORMS, vol. 41(4), pages 577-594, April.
    13. Wieslaw Sadowski, 1959. "A Few Remarks on the Assortment Problem," Cowles Foundation Discussion Papers 67, Cowles Foundation for Research in Economics, Yale University.
    14. Vineet Goyal & Retsef Levi & Danny Segev, 2016. "Near-Optimal Algorithms for the Assortment Planning Problem Under Dynamic Substitution and Stochastic Demand," Operations Research, INFORMS, vol. 64(1), pages 219-235, February.
    15. Patxi J. Bernales & Yongtao Guan & Harihara Prasad Natarajan & Patricia Souza Gimenez & Mario Xavier Alvarez Tajes, 2017. "Less Is More: Harnessing Product Substitution Information to Rationalize SKUs at Intcomex," Interfaces, INFORMS, vol. 47(3), pages 230-243, June.
    16. 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.
    17. Siddharth Mahajan & Garrett van Ryzin, 2001. "Stocking Retail Assortments Under Dynamic Consumer Substitution," Operations Research, INFORMS, vol. 49(3), pages 334-351, June.
    18. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
    19. 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.
    20. Pentico, David W., 2008. "The assortment problem: A survey," European Journal of Operational Research, Elsevier, vol. 190(2), pages 295-309, October.
    21. A. Gürhan Kök & Marshall L. Fisher & Ramnath Vaidyanathan, 2015. "Assortment Planning: Review of Literature and Industry Practice," International Series in Operations Research & Management Science, in: Narendra Agrawal & Stephen A. Smith (ed.), Retail Supply Chain Management, edition 2, chapter 0, pages 175-236, Springer.
    22. 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.
    23. Selçuk Karabati & Bariş Tan & Ömer Öztürk, 2009. "A method for estimating stock-out-based substitution rates by using point-of-sale data," IISE Transactions, Taylor & Francis Journals, vol. 41(5), pages 408-420.
    24. Garrett van Ryzin & Siddharth Mahajan, 1999. "On the Relationship Between Inventory Costs and Variety Benefits in Retail Assortments," Management Science, INFORMS, vol. 45(11), pages 1496-1509, November.
    25. A. Gürhan Kök & Yi Xu, 2011. "Optimal and Competitive Assortments with Endogenous Pricing Under Hierarchical Consumer Choice Models," Management Science, INFORMS, vol. 57(9), pages 1546-1563, February.
    26. Antoine Désir & Vineet Goyal & Danny Segev & Chun Ye, 2020. "Constrained Assortment Optimization Under the Markov Chain–based Choice Model," Management Science, INFORMS, vol. 66(2), pages 698-721, February.
    27. Dorothee Honhon & Sreelata Jonnalagedda & Xiajun Amy Pan, 2012. "Optimal Algorithms for Assortment Selection Under Ranking-Based Consumer Choice Models," Manufacturing & Service Operations Management, INFORMS, vol. 14(2), pages 279-289, April.
    28. Jacob B. Feldman & Huseyin Topaloglu, 2017. "Revenue Management Under the Markov Chain Choice Model," Operations Research, INFORMS, vol. 65(5), pages 1322-1342, October.
    29. A. Gürhan Kök & Marshall L. Fisher, 2007. "Demand Estimation and Assortment Optimization Under Substitution: Methodology and Application," Operations Research, INFORMS, vol. 55(6), pages 1001-1021, December.
    30. Guillermo Gallego & Huseyin Topaloglu, 2014. "Constrained Assortment Optimization for the Nested Logit Model," Management Science, INFORMS, vol. 60(10), pages 2583-2601, October.
    31. Baloch, Gohram & Gzara, Fatma, 2020. "Capacity and assortment planning under one-way supplier-driven substitution for pharmacy kiosks with low drug demand," European Journal of Operational Research, Elsevier, vol. 282(1), pages 108-128.
    32. Jose Blanchet & Guillermo Gallego & Vineet Goyal, 2016. "A Markov Chain Approximation to Choice Modeling," Operations Research, INFORMS, vol. 64(4), pages 886-905, August.
    33. Yücel, Eda & Karaesmen, Fikri & Salman, F. Sibel & Türkay, Metin, 2009. "Optimizing product assortment under customer-driven demand substitution," European Journal of Operational Research, Elsevier, vol. 199(3), pages 759-768, December.
    34. Bariş Tan & Yalçin Akçay, 2014. "Assortment-based cooperation between two make-to-stock firms," IISE Transactions, Taylor & Francis Journals, vol. 46(3), pages 213-229.
    35. Edward Lawrence Umpfenbach & Evrim Dalkiran & Ratna Babu Chinnam & Alper Ekrem Murat, 2018. "Optimization of strategic planning processes for configurable products," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 69(11), pages 1834-1853, November.
    36. 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.
    37. Stephen A. Smith & Narendra Agrawal, 2000. "Management of Multi-Item Retail Inventory Systems with Demand Substitution," Operations Research, INFORMS, vol. 48(1), pages 50-64, February.
    38. Fisher, M.L. & Nemhauser, G.L. & Wolsey, L.A., 1978. "An analysis of approximations for maximizing submodular set functions," LIDAM Reprints CORE 341, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    39. Hakjin Chung & Hyun‐Soo Ahn & Stefanus Jasin, 2019. "(Rescaled) Multi‐Attempt Approximation of Choice Model and Its Application to Assortment Optimization," Production and Operations Management, Production and Operations Management Society, vol. 28(2), pages 341-353, February.
    40. Gérard P. Cachon & Christian Terwiesch & Yi Xu, 2005. "Retail Assortment Planning in the Presence of Consumer Search," Manufacturing & Service Operations Management, INFORMS, vol. 7(4), pages 330-346, August.
    41. Siddharth Mahajan & Garrett van Ryzin, 2001. "Inventory Competition Under Dynamic Consumer Choice," Operations Research, INFORMS, vol. 49(5), pages 646-657, October.
    42. Umpfenbach, Edward Lawrence & Dalkiran, Evrim & Chinnam, Ratna Babu & Murat, Alper Ekrem, 2018. "Promoting sustainability of automotive products through strategic assortment planning," European Journal of Operational Research, Elsevier, vol. 269(1), pages 272-285.
    43. Timonina-Farkas, Anna & Katsifou, Argyro & Seifert, Ralf W., 2020. "Product assortment and space allocation strategies to attract loyal and non-loyal customers," European Journal of Operational Research, Elsevier, vol. 285(3), pages 1058-1076.
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