ARTIFICIAL INTELLIGENCE APPLIED TO ASSIGNED MERCHANDISE LOCATION IN RETAIL SALES SYSTEMS

Authors

  • Oscar Cruz-Domínguez Zacatecas Polytechnic University
  • Ramiro Santos-Mayorga Zacatecas Polytechnic University

DOI:

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

Keywords:

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

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. 

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Published

2016-05-10

How to Cite

Cruz-Domínguez O., & Santos-Mayorga, R. (2016). ARTIFICIAL INTELLIGENCE APPLIED TO ASSIGNED MERCHANDISE LOCATION IN RETAIL SALES SYSTEMS. The South African Journal of Industrial Engineering, 27(1), 112–124. https://doi.org/10.7166/27-1-1192

Issue

Vol. 27 No. 1 (2016)

Section

General Articles

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