Routes selection for the cell formation problem with alternative part process plans
Computers and Industrial Engineering - Special issue: IE in Korea
Cell formation in group technology: review, evaluation and directions for future research
Computers and Industrial Engineering - Cellular manufacturing systems: design, analysis and implementation
A Template for Scatter Search and Path Relinking
AE '97 Selected Papers from the Third European Conference on Artificial Evolution
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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.