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Managing limited retail space for basic products: Space sharing vs. space dedication

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  • Zhang, Wei
  • Rajaram, Kumar

Abstract

In this paper, we study the problem of managing limited retail shelf or storage space for basic products by considering two inventory management strategies: space dedication and space sharing. When space is dedicated to each product, there is more flexibility in planning as different products can be replenished independently. In contrast, when space is shared across different products, there is potential for saving space; however, replenishment has to be coordinated across products and this leads to additional costs due to the lack of flexibility in replenishing each product individually. We model this problem as a non-linear mixed integer program and develop an effective heuristic and an upper bound for each strategy. We introduce three different but consistent criteria to compare each strategy. Through an extensive computational study, we identify the most relevant factors that impact the relative benefit of space sharing over space dedication. In addition, we show that space sharing with an optimal replenishment scheduling program can on average reduce space consumption by 31%.

Suggested Citation

  • 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.
  • Handle: RePEc:eee:ejores:v:263:y:2017:i:3:p:768-781
    DOI: 10.1016/j.ejor.2017.05.045
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    1. Felipe Caro & Jérémie Gallien, 2007. "Dynamic Assortment with Demand Learning for Seasonal Consumer Goods," Management Science, INFORMS, vol. 53(2), pages 276-292, February.
    2. Awi Federgruen & Yu-Sheng Zheng, 1992. "The Joint Replenishment Problem with General Joint Cost Structures," Operations Research, INFORMS, vol. 40(2), pages 384-403, April.
    3. 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.
    4. Dorothée Honhon & Vishal Gaur & Sridhar Seshadri, 2010. "Assortment Planning and Inventory Decisions Under Stockout-Based Substitution," Operations Research, INFORMS, vol. 58(5), pages 1364-1379, October.
    5. S. Anily & A. Federgruen, 1991. "Capacitated Two-Stage Multi-Item Production/Inventory Model with Joint Setup Costs," Operations Research, INFORMS, vol. 39(3), pages 443-455, June.
    6. Alain Bultez & Philippe Naert, 1988. "SH.A.R.P.: Shelf Allocation for Retailers' Profit," Marketing Science, INFORMS, vol. 7(3), pages 211-231.
    7. 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.
    8. Khouja, Moutaz & Goyal, Suresh, 2008. "A review of the joint replenishment problem literature: 1989-2005," European Journal of Operational Research, Elsevier, vol. 186(1), pages 1-16, April.
    9. Gerard Cachon, 2001. "Managing a Retailer's Shelf Space, Inventory, and Transportation," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 211-229, July.
    10. Yao, Ming-Jong & Chu, Weng-Ming, 2008. "A genetic algorithm for determining optimal replenishment cycles to minimize maximum warehouse space requirements," Omega, Elsevier, vol. 36(4), pages 619-631, August.
    11. S. Viswanathan & Kamlesh Mathur, 1997. "Integrating Routing and Inventory Decisions in One-Warehouse Multiretailer Multiproduct Distribution Systems," Management Science, INFORMS, vol. 43(3), pages 294-312, March.
    12. 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.
    13. Vishal Gaur & Dorothée Honhon, 2006. "Assortment Planning and Inventory Decisions Under a Locational Choice Model," Management Science, INFORMS, vol. 52(10), pages 1528-1543, 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. Marcel Corstjens & Peter Doyle, 1981. "A Model for Optimizing Retail Space Allocations," Management Science, INFORMS, vol. 27(7), pages 822-833, July.
    16. Rajaram, Kumar, 2001. "Assortment planning in fashion retailing: methodology, application and analysis," European Journal of Operational Research, Elsevier, vol. 129(1), pages 186-208, February.
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    2. Menezes, Mozart B.C. & Jalali, Hamed & Lamas, Alejandro, 2021. "One too many: Product proliferation and the financial performance in manufacturing," International Journal of Production Economics, Elsevier, vol. 242(C).

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