ARTIFICIAL INTELLIGENCE APPLIED TO ASSIGNED MERCHANDISE LOCATION IN RETAIL SALES SYSTEMS

Oscar Cruz-Domínguez, Ramiro Santos-Mayorga

Abstract


This paper presents an option for improving the process of assigning storage locations for merchandise in a warehouse. A disadvantage of policies in the literature is that the merchandise is assigned allocation only according to the volume of sales and the rotation it presents. However, in some cases it is necessary to deal with other aspects such as family group membership, the physical characteristics of the products, and their sales pattern to design an integral policy. This paper presents an alternative to the afore- mentioned process using Flexsim®, artificial neural networks, and genetic algorithms. 


Keywords


simulation; Artificial Intelligence Techniques; Storage Allocations; Neural Networks; Genetic Algorithms

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DOI: https://doi.org/10.7166/27-1-1192

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Copyright (c) 2016 Oscar Cruz, Ramiro Santos


ISSN 2224-7890 (on-line) ; ISSN 1012-277X (print)


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