A Solver-Free Heuristic for Store-Wide Shelf Space Allocation

Tulay Flamand (), Ahmed Ghoniem () and Bacel Maddah ()
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Tulay Flamand: Department of Economics and Business, Colorado School of Mines
Ahmed Ghoniem: University of Massachusetts Amherst
Bacel Maddah: American University of Beirut

A chapter in Retail Space Analytics, 2023, pp 21-34 from Springer

Abstract: Abstract We investigate a store-wide shelf space allocation problem where the retailer seeks to maximize the expected impulse buying profit by allocating product categories to the store shelves. Based on the extant literature, in-store traffic is captured via a complex predictive model as a function of both allocation decisions and the store layout. We demonstrate that a solver-free heuristic yields promising solutions that can alternatively be obtained and validated by more computationally intensive mathematical programming-based approaches. The proposed approach is applied to a grocery store in Beirut, Lebanon, and more generally provides a practical tool that can be adapted for store-wide shelf space allocation in a variety of brick-and-mortar stores.

Date: 2023
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DOI: 10.1007/978-3-031-27058-1_2

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