A New Dynamic Cell Formation Model Considering Machine Sequence and Labor-intensive Situation

摘要

This paper presents a new two-phase dynamic cellular manufacturing model in a labor-intensive situation. In the first phase the formation of machines in cells is selected. The output of this phase has been used as an input for the second phase to select the best number of operators. In the first phase objectives are minimizing total cost of material handling, relocation, constant and varying machine utilization, and minimizing machine workload imbalanced simultaneously. In the second phase the objective is minimizing the number of workers. The first phase is solved using hybrid particle swarm optimization (PSO) and epsilon constraint. The second phase is optimized using simulation with Visual Slam. Results are compared with GAMS solver and commercial CPLEX solver.