Uma solução integrada aplicada ao problema de otimização do ciclo de montagem de uma insersora automática de componentes utilizando uma abordagem híbrida de metaheurísticas

Abstract

This work approaches the optimization Problem related to the operation cycle in an automatic multi-head SMT placement machine (pick-and-place). The objective of this work is developing a computational technique capable to find a good solution for the optimization problem associated with the component insertion process. The optimization process was planned to solve in a joint way the Tools Scheduling Problem, Schedule of Component Insertion Sequence Problem and finally the Component Feeder Allocation Problem. The main objective is to reduce the total operation time. As a result the computational technique can increase the productivity of the machines where it is applied. This study developed a hybrid application of Tabu Search and Genetic Algorithms. The use of a differentiated approach combined with modern metaheuristics, good results are presented in the work.