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Management of Multi-Item Retail Inventory Systems with Demand Substitution

Author

Listed:
  • Stephen A. Smith

    (Operations and Management Information Systems, Leavey School of Business, Santa Clara University, Santa Clara, CA 95053)

  • Narendra Agrawal

    (Operations and Management Information Systems, Leavey School of Business, Santa Clara University, Santa Clara, CA 95053)

Abstract

Customers for retail merchandise can often be satisfied with one of several items. Accounting for demand substitution in defining customer service influences the choice of items to stock and the optimal inventory level for each item stocked. Further, when certain items are not stocked, the resulting substitutions increase the demand for other items, which also affects the optimal stock levels. In this paper, we develop a probabilistic demand model for items in an assortment that captures the effects of substitution and a methodology for selecting item inventory levels so as to maximize total expected profit, subject to given resource constraints. Illustrative examples are solved to provide insights concerning the behavior of the optimal inventory policies, using the negative binomial demand distribution, which has performed well in fitting retail sales data.

Suggested Citation

  • 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.
    • Handle: RePEc:inm:oropre:v:48:y:2000:i:1:p:50-64
    DOI: 10.1287/opre.48.1.50.12443
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    References listed on IDEAS

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