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Multi-location Inventory Models for Retail Supply Chain Management

In: Retail Supply Chain Management

Author

Listed:
  • Narendra Agrawal

    (Santa Clara University)

  • Stephen A. Smith

    (Santa Clara University)

Abstract

In this chapter, we provide a review of recent research on multi-location inventory systems that is related to retail supply chain management. Our review is restricted in scope in a number of ways. First, the focus is on papers that model multi-level inventory systems, since virtually all retail supply chains are multi-level. Second, attention is restricted to papers after 1993, and the reader is referred to the reviews in other papers for articles prior to 1993. Third, certain model formulations that are not typical of retail inventory management are excluded, such as serial systems, since they are not representative of typical retail chains, and are a special case of general multi-location multi-echelon systems. Also excluded are papers that assume deterministic demand, since demand uncertainty is a key aspect of most retail systems. Finally, the primary focus is on periodic review systems. We conclude with suggestions for future research in this area.

Suggested Citation

  • Narendra Agrawal & Stephen A. Smith, 2015. "Multi-location Inventory Models for Retail Supply Chain Management," International Series in Operations Research & Management Science, in: Narendra Agrawal & Stephen A. Smith (ed.), Retail Supply Chain Management, edition 2, chapter 0, pages 319-347, Springer.
    • Handle: RePEc:spr:isochp:978-1-4899-7562-1_12
    DOI: 10.1007/978-1-4899-7562-1_12
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    Citations

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    Cited by:

    1. Gioia, Daniele Giovanni & Minner, Stefan, 2023. "On the value of multi-echelon inventory management strategies for perishable items with on-/off-line channels," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    2. Agrawal, Narendra & Smith, Stephen A., 2019. "Optimal inventory management using retail prepacks," European Journal of Operational Research, Elsevier, vol. 274(2), pages 531-544.
    3. Zhanwei Tian & Guoqing Zhang, 2021. "Multi-echelon fulfillment warehouse rent and production allocation for online direct selling," Annals of Operations Research, Springer, vol. 304(1), pages 427-451, September.
    4. Talay, Cagri & Oxborrow, Lynn & Goworek, Helen, 2022. "The impact of asymmetric supply chain relationships on sustainable product development in the fashion and textiles industry," Journal of Business Research, Elsevier, vol. 152(C), pages 326-335.
    5. Vincent C. Li & Yat-wah Wan & Chi-Leung Chu & Yi-Cheng Lin, 2020. "A Dynamic Programming-Based Heuristic for Markdown Pricing and Inventory Allocation of a Seasonal Product in a Retail Chain," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 37(01), pages 1-30, January.
    6. Holzapfel, Andreas & Kuhn, Heinrich & Sternbeck, Michael G., 2018. "Product allocation to different types of distribution center in retail logistics networks," European Journal of Operational Research, Elsevier, vol. 264(3), pages 948-966.
    7. Stephen A. Smith & Narendra Agrawal, 2017. "Optimal Markdown Pricing and Inventory Allocation for Retail Chains with Inventory Dependent Demand," Manufacturing & Service Operations Management, INFORMS, vol. 19(2), pages 290-304, May.

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