SYSTEM OF SCHEDULING FOR MIXED ASSEMBLY LINES IN A JUST IN TIME ENVIRONMENT

AbstractMixed model assembly lines can be found today in many industrial environments. Based on the problematic of knowing the optimal sequence in which each lot in an assembly line is going to be produced, this research considers a design to simulate a meta heuristic algorithm to obtain the optimal sequence that takes into account the maximization of the production lines capacity as well as in the use of components and other programming criteria. The methodology considered for the analysis was GRASP (Greedy Randomized Adaptive Search Procedures). A heuristic that minimizes the time of programming and allows the assembly lines to be scheduled in a real time. Based on feasible data, the obtained results of such simulation allow concluding that the lines of production were working in an optimal sequence.