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Open AccessArticle

A Genetic Algorithm for the Shelf-Space Allocation Problem with Vertical Position Effects

Center for Intelligent Management Systems, Wroclaw University of Economics and Business, 53-345 Wroclaw, Poland
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Mathematics 2020, 8(11), 1881; https://doi.org/10.3390/math8111881
Received: 23 September 2020 / Revised: 14 October 2020 / Accepted: 16 October 2020 / Published: 30 October 2020
(This article belongs to the Special Issue Mathematical Methods on Intelligent Decision Support Systems)
The shelf-space on which products are displayed is one of the most important resources in the retail environment. Therefore, decisions about shelf-space allocation and optimization are critical in retail operation management. This paper addresses the problem of a retailer who sells various products by displaying them on the shelf at stores. We present a practical shelf-space allocation model, based on a genetic algorithm, with vertical position effects with the objective of maximizing the retailer’s profit. The validity of the model is illustrated with example problems and compared to the CPLEX solver. The results obtained from the experimental phase show the suitability of the proposed approach. View Full-Text
Keywords: genetic algorithm; metaheuristics; merchandising; planogram; retailing; shelf-space allocation genetic algorithm; metaheuristics; merchandising; planogram; retailing; shelf-space allocation
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MDPI and ACS Style

Czerniachowska, K.; Hernes, M. A Genetic Algorithm for the Shelf-Space Allocation Problem with Vertical Position Effects. Mathematics 2020, 8, 1881. https://doi.org/10.3390/math8111881

AMA Style

Czerniachowska K, Hernes M. A Genetic Algorithm for the Shelf-Space Allocation Problem with Vertical Position Effects. Mathematics. 2020; 8(11):1881. https://doi.org/10.3390/math8111881

Chicago/Turabian Style

Czerniachowska, Kateryna; Hernes, Marcin. 2020. "A Genetic Algorithm for the Shelf-Space Allocation Problem with Vertical Position Effects" Mathematics 8, no. 11: 1881. https://doi.org/10.3390/math8111881

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