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Artificial intelligence applied to assigned merchandise location in retail sales systems
OSCAR CRUZ DOMINGUEZ
Acceso Abierto
Atribución-NoComercial
Inteligencia artificial
Administración de ventas
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 aforementioned process using Flexsim®, artificial neural networks, and genetic algorithms.
2015
Artículo
Estudiantes
Investigadores
Maestros
INGENIERÍA DE PROCESOS
Versión publicada
publishedVersion - Versión publicada
Aparece en las colecciones: Artículos de investigación

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