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A Model for Optimizing Retail Space Allocations

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Author Info

  • Marcel Corstjens

    (INSEAD, Fontainebleau, France)

  • Peter Doyle

    (Bradford University, Great Britain)

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    Abstract

    The allocation of scarce shelf space among competing products is a central problem in retailing. Space allocation affects store profitability through both the demand function, where both main and cross space elasticities have to be considered, and through the cost function (procurement, carrying and out-of-stock costs). A model is developed which uniquely incorporates both effects. A case study is used to estimate the parameters and the problem is solved within a geometrical programming framework. An extensive comparison with alternative procedures suggests this general model leads to significantly different allocation rules and superior profit performance.

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    File URL: http://dx.doi.org/10.1287/mnsc.27.7.822
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    Bibliographic Info

    Article provided by INFORMS in its journal Management Science.

    Volume (Year): 27 (1981)
    Issue (Month): 7 (July)
    Pages: 822-833

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    Handle: RePEc:inm:ormnsc:v:27:y:1981:i:7:p:822-833

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    Related research

    Keywords: marketing: retailing; programming: geometric;

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    Cited by:
    1. Renaudin, Valérie, 2004. "Mesurer la relation entre espace alloué et ventes pour les rayons d'une enseigne," Economics Papers from University Paris Dauphine 123456789/1758, Paris Dauphine University.
    2. Lakdere Benkherouf & Michael Johnson, 2012. "Optimality of (s, S) policies for jump inventory models," Computational Statistics, Springer, vol. 76(3), pages 377-393, December.
    3. 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.
    4. Urban, Timothy L., 2005. "A periodic-review model with serially-correlated, inventory-level-dependent demand," International Journal of Production Economics, Elsevier, vol. 95(3), pages 287-295, March.
    5. Devangan, Lokendra & Amit, R.K. & Mehta, Peeyush & Swami, Sanjeev & Shanker, Kripa, 2013. "Individually rational buyback contracts with inventory level dependent demand," International Journal of Production Economics, Elsevier, vol. 142(2), pages 381-387.
    6. van Zelst, Susan & van Donselaar, Karel & van Woensel, Tom & Broekmeulen, Rob & Fransoo, Jan, 2009. "Logistics drivers for shelf stacking in grocery retail stores: Potential for efficiency improvement," International Journal of Production Economics, Elsevier, vol. 121(2), pages 620-632, October.
    7. Yang, Ming-Hsien, 2001. "An efficient algorithm to allocate shelf space," European Journal of Operational Research, Elsevier, vol. 131(1), pages 107-118, May.
    8. Ketzenberg, Michael & Metters, Richard & Vargas, Vicente, 2002. "Quantifying the benefits of breaking bulk in retail operations," International Journal of Production Economics, Elsevier, vol. 80(3), pages 249-263, December.
    9. Hübner, Alexander H. & Kuhn, Heinrich, 2012. "Retail category management: State-of-the-art review of quantitative research and software applications in assortment and shelf space management," Omega, Elsevier, vol. 40(2), pages 199-209, April.
    10. Kuo, Chia-Wei & Yang, Shu-Jung Sunny, 2013. "The role of store brand positioning for appropriating supply chain profit under shelf space allocation," European Journal of Operational Research, Elsevier, vol. 231(1), pages 88-97.
    11. Valenzuela, Ana & Raghubir, Priya & Mitakakis, Chrissy, 2013. "Shelf space schemas: Myth or reality?," Journal of Business Research, Elsevier, vol. 66(7), pages 881-888.
    12. Piramuthu, Selwyn & Zhou, Wei, 2013. "RFID and perishable inventory management with shelf-space and freshness dependent demand," International Journal of Production Economics, Elsevier, vol. 144(2), pages 635-640.
    13. Stavrulaki, Euthemia, 2011. "Inventory decisions for substitutable products with stock-dependent demand," International Journal of Production Economics, Elsevier, vol. 129(1), pages 65-78, January.
    14. Lotfi, M.M. & Torabi, S.A., 2011. "A fuzzy goal programming approach for mid-term assortment planning in supermarkets," European Journal of Operational Research, Elsevier, vol. 213(2), pages 430-441, September.
    15. Hwang, Hark & Choi, Bum & Lee, Min-Jin, 2005. "A model for shelf space allocation and inventory control considering location and inventory level effects on demand," International Journal of Production Economics, Elsevier, vol. 97(2), pages 185-195, August.
    16. Leng, Mingming & Parlar, Mahmut & Zhang, Dengfeng, 2014. "Cooperative game analysis of retail space-exchange problems," European Journal of Operational Research, Elsevier, vol. 232(2), pages 393-404.
    17. Szmerekovsky, Joseph G. & Zhang, Jiang, 2008. "Coordination and adoption of item-level RFID with vendor managed inventory," International Journal of Production Economics, Elsevier, vol. 114(1), pages 388-398, July.
    18. Nilsson, Tomas K.H. & Foster, Kenneth A., 2005. "Certification of Pork Products," 2005 Annual meeting, July 24-27, Providence, RI 19350, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).

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