Aplicação do algoritmo genético na gestão de suprimentos

Abstract

This article is about the application of genetic algorithm as a tool for decision making in supply management. The objective was to evaluate its use in current inventory reduction. To fulfill this objective, we used a mathematical method to study the supply management of a Brazilian retail tire company. The results showed that the supplies policy simulated by the genetic algorithm reduced the tire inventory by about 78%. With these results it was possible to conclude that the genetic algorithm provided an important contribution to supply management. Given the nature of the research results of this exploratory case study, we suggest optimizing the objective function with other variables and simulating them to different rates of crossover and mutation as well as expanding the use of genetic algorithm to other problems of practical interest.