A GENETIC ALGORITHM FOR A MULTI-PRODUCT DISTRIBUTION PROBLEM

• Tipo: Artigo em Revista Científica Internacional
• Data: 2019

Autores

Cretú, B (Autor) Outra; Dalila B.M.M. Fontes (Autor) FEP; Mahdi Homayouni, S (Autor) Outra

Revista

Título: International Journal for Quality Research

Vol. 13

Páginas: 901-914

ISSN: 1800-6450

Editora: University of Montenegro

Indexação

ISI Web of Knowledge - 0 Citações

Scopus - 2 Citações

Outras Informações

ID Authenticus: P-00R-ESZ

DOI: 10.24874/ijqr13.04-11

Abstract (EN): This paper addresses a distribution problem involving a set of different products that need to be distributed among a set of geographically disperse retailers and transported from the single warehouse to the aforementioned retailers. The disfribution and transportation are made in order to satisfy retailers' demand while satisfying storage limits at both the warehouse and the retailers, transportation limits between the warehouse and the retailers, and other operational constraints. This problem is combinatorial in nature as it involves the assignment of a discrete finite set of objects, while satisfying a given set of conditions. Hence, we propose a genetic algorithm that is capable of finding good quality solutions. The genetic algorithm proposed is used to a real case study involving the disfribution of eight products among 108 retailers from a single warehouse. The results obtained improve on those of company's current practice by achieving a cost reduction of about 13%.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 14