IDEAS home Printed from https://ideas.repec.org/a/sae/globus/v17y2016i3p524-540.html
   My bibliography  Save this article

Estimating Demand Using Space Elastic Demand Model for Retail Assortment Planning

Author

Listed:
  • Alok Kumar Singh
  • Rohit Kapoor

Abstract

A retailer assortment is defined as a mix of products stocked in a retail store. The identification of proper assortment has become difficult in the current consumer-centric environment. Assortment planning (AP) in a retail chain largely depends on the estimation of demand of various products under consideration. The knowledge of the true demand rates and substitution rates is important for a retailer for a variety of management decisions, such as the ideal assortment to carry, the quantum of each item to be stocked and how often to replenish the stock (Anupindi, Dada & Gupta, 1998). Space elastic demand model is one of the models which have been widely used for demand estimation in retail AP literature. However, there is paucity of empirical studies in this field of research. In this article, the demand has been estimated using space elastic demand model for two product categories comprising 11 products within the category. The study illustrates the methodology for estimation of demand using space elastic demand model. The results obtained are consistent with the results obtained in few of the empirical studies done in other contexts.

Suggested Citation

  • Alok Kumar Singh & Rohit Kapoor, 2016. "Estimating Demand Using Space Elastic Demand Model for Retail Assortment Planning," Global Business Review, International Management Institute, vol. 17(3), pages 524-540, June.
  • Handle: RePEc:sae:globus:v:17:y:2016:i:3:p:524-540
    DOI: 10.1177/0972150916630448
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0972150916630448
    Download Restriction: no

    File URL: https://libkey.io/10.1177/0972150916630448?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Yang, Ming-Hsien, 2001. "An efficient algorithm to allocate shelf space," European Journal of Operational Research, Elsevier, vol. 131(1), pages 107-118, May.
    2. Hansen, Pierre & Heinsbroek, Hans, 1979. "Product selection and space allocation in supermarkets," European Journal of Operational Research, Elsevier, vol. 3(6), pages 474-484, November.
    3. Ravi Anupindi & Maqbool Dada & Sachin Gupta, 1998. "Estimation of Consumer Demand with Stock-Out Based Substitution: An Application to Vending Machine Products," Marketing Science, INFORMS, vol. 17(4), pages 406-423.
    4. Pierre Desmet & Valérie Renaudin, 1998. "Estimation of Product Category Sales Responsiveness to Allocated Shelf Space," Post-Print halshs-00143451, HAL.
    5. Canan Ulu & Dorothée Honhon & Aydın Alptekinoğlu, 2012. "Learning Consumer Tastes Through Dynamic Assortments," Operations Research, INFORMS, vol. 60(4), pages 833-849, August.
    6. Marcel Corstjens & Peter Doyle, 1981. "A Model for Optimizing Retail Space Allocations," Management Science, INFORMS, vol. 27(7), pages 822-833, July.
    7. 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.
    8. repec:dau:papers:123456789/1757 is not listed on IDEAS
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Andrew Lim & Brian Rodrigues & Xingwen Zhang, 2004. "Metaheuristics with Local Search Techniques for Retail Shelf-Space Optimization," Management Science, INFORMS, vol. 50(1), pages 117-131, January.
    2. Bianchi-Aguiar, Teresa & Hübner, Alexander & Carravilla, Maria Antónia & Oliveira, José Fernando, 2021. "Retail shelf space planning problems: A comprehensive review and classification framework," European Journal of Operational Research, Elsevier, vol. 289(1), pages 1-16.
    3. Düsterhöft, Tobias & Hübner, Alexander & Schaal, Kai, 2020. "A practical approach to the shelf-space allocation and replenishment problem with heterogeneously sized shelves," European Journal of Operational Research, Elsevier, vol. 282(1), pages 252-266.
    4. Irion, Jens & Lu, Jye-Chyi & Al-Khayyal, Faiz & Tsao, Yu-Chung, 2012. "A piecewise linearization framework for retail shelf space management models," European Journal of Operational Research, Elsevier, vol. 222(1), pages 122-136.
    5. Hübner, Alexander & Schaal, Kai, 2017. "A shelf-space optimization model when demand is stochastic and space-elastic," Omega, Elsevier, vol. 68(C), pages 139-154.
    6. 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.
    7. Schaal, Kai & Hübner, Alexander, 2018. "When does cross-space elasticity matter in shelf-space planning? A decision analytics approach," Omega, Elsevier, vol. 80(C), pages 135-152.
    8. Amrouche, Nawel & Zaccour, Georges, 2007. "Shelf-space allocation of national and private brands," European Journal of Operational Research, Elsevier, vol. 180(2), pages 648-663, July.
    9. Reyes, Pedro M. & Frazier, Gregory V., 2007. "Goal programming model for grocery shelf space allocation," European Journal of Operational Research, Elsevier, vol. 181(2), pages 634-644, September.
    10. Flamand, Tulay & Ghoniem, Ahmed & Haouari, Mohamed & Maddah, Bacel, 2018. "Integrated assortment planning and store-wide shelf space allocation: An optimization-based approach," Omega, Elsevier, vol. 81(C), pages 134-149.
    11. 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.
    12. Yan-Kwang Chen & Shi-Xin Weng & Tsai-Pei Liu, 2020. "Teaching–Learning Based Optimization (TLBO) with Variable Neighborhood Search to Retail Shelf-Space Allocation," Mathematics, MDPI, vol. 8(8), pages 1-16, August.
    13. Ostermeier, Manuel & Düsterhöft, Tobias & Hübner, Alexander, 2021. "A model and solution approach for store-wide shelf space allocation," Omega, Elsevier, vol. 102(C).
    14. Murray, Chase C. & Talukdar, Debabrata & Gosavi, Abhijit, 2010. "Joint Optimization of Product Price, Display Orientation and Shelf-Space Allocation in Retail Category Management," Journal of Retailing, Elsevier, vol. 86(2), pages 125-136.
    15. M M Lotfi & M Rabbani & S F Ghaderi, 2011. "A weighted goal programming approach for replenishment planning and space allocation in a supermarket," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1128-1137, June.
    16. J Irion & J-C Lu & F A Al-Khayyal & Y-C Tsao, 2011. "A hierarchical decomposition approach to retail shelf space management and assortment decisions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(10), pages 1861-1870, October.
    17. Alexander Hübner & Kai Schaal, 2017. "Effect of replenishment and backroom on retail shelf-space planning," Business Research, Springer;German Academic Association for Business Research, vol. 10(1), pages 123-156, June.
    18. 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.
    19. Mehmet Fadılog̃lu & Oya Karaşan & Mustafa Pınar, 2010. "A model and case study for efficient shelf usage and assortment analysis," Annals of Operations Research, Springer, vol. 180(1), pages 105-124, November.
    20. Alexander Hübner & Fabian Schäfer & Kai N. Schaal, 2020. "Maximizing Profit via Assortment and Shelf‐Space Optimization for Two‐Dimensional Shelves," Production and Operations Management, Production and Operations Management Society, vol. 29(3), pages 547-570, March.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:globus:v:17:y:2016:i:3:p:524-540. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: http://www.imi.edu/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.