An Adaptive Genetic Algorithm for Production Scheduling on Manufacturing Systems with Simultaneous Use of Machines and AGVs

The problem of production scheduling of manufacturing systems involves the system modeling task and the application of a technique to solve it. This kind of scheduling is characterized by the large number of possible solutions, where several researches have been using the genetic algorithms as a search method to solve this problem, since these algorithms have the capacity of globally exploring the search space and to find good solutions quickly. This paper proposes the use of adaptive genetic algorithm to solve this kind of scheduling problem. The aim of this paper was to obtain a good production schedule considering simultaneous use of machines and automated guided vehicles that minimize the makespan with low running time. The results of this paper were validated in large scenarios and compared with other approach. These results are presented and discussed in this paper.