Work

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

Year: 2020

Type: article

Abstract: 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.

Source: Mathematics

DOI: 10.3390/math8111881

Authors: Kateryna Czerniachowska, Marcin Hernes

Institution: Wroclaw University of Economics and Business

Language: English

Topic: Supply Chain and Inventory Management

Subfield: Management Information Systems

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: gold

Estimated APC paid: $1,267

Funder: Ministerstwo Edukacji i Nauki