An Application with Non-identical Parallel Machines using Genetic Algorithm with the Help of Fuzzy Logic

Abstract

After industrial revolution in Europe, manufacturing systems have become very important research areas. In shifting and improving world, manufacturing is a positive function of consumption of humankind. In this regard, there has been too many algorithms and methodologies about scheduling to find a solution to combinatorial complex problems. In the literature, most of the articles about production scheduling are related with identical parallel machines. Even though it is a common problem in the industry, only a small number of studies deal with non-identical parallel machines. This paper is about fuzzy approach to scheduling problem of non-identical parallel machines using genetic algorithm. The genetic algorithm is proposed here fits the nonidentical parallel machine scheduling problem of minimizing the maximum completion time.