A shelf-space optimization model when demand is stochastic and space-elastic

Alexander Hübner and Kai Schaal

Omega, 2017, vol. 68, issue C, 139-154

Abstract: The more customer demand is impulse-driven, the more it is space-dependent and the more it is subject to variation. We investigate the corresponding problem of retail shelf-space planning when demand is stochastic and sensitive to the number and position of facings. We develop a model to maximize a retailer׳s profit by selecting the number of facings and their shelf position under the assumption of limited space. The model is particularly applicable to promotional or temporary products.

Keywords: Retailing; Space elasticity; Stochastic demand; Mixed-integer problem (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (20)

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DOI: 10.1016/j.omega.2016.07.001

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