Artificial intelligence applied to assigned merchandise location in retail sales systems

Autor:	Cruz-Domínguez, O., Santos-Mayorga, R.
Jazyk:	angličtina
Rok vydání:	2016
Předmět:	simulation artificial intelligence storage allocations neural networks genetic algorithms Industrial engineering. Management engineering T55.4-60.8
Zdroj:	South African Journal of Industrial Engineering, Vol 27, Iss 1, Pp 112-124 (2016)
Druh dokumentu:	article
ISSN:	1012-277X 2224-7890
DOI:	10.7166/27-1-1192
Popis:	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.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/6a5fe51cef3f4e4f8dc126116fffc938 Zobrazit plný text záznamu View record in DOAJ Plný text ve formátu PDF