Studying the performance of a dynamic cellular manufacturing system

A hybrid simulated annealing for solving an extended model of dynamic cellular manufacturing system

“…Their objectives were to minimize the machine constant and reconfiguration costs by assuming space capacity limitation. Marcoux et al (1997) show that DCMS is more efficient than classical CMS in terms of throughput time, machine utilization and WIP criteria. Askin et al (1997) proposed a four-stage algorithm that designs cells to handle variation in the product mix.…”

A fuzzy programming approach for a cell formation problem with dynamic and uncertain conditions

“…Drolet et al [8] proposed a four-stage procedure for designing DCMSs from the scheduling and operating points of view, with objective of minimizing machine constant and reconfiguration costs by a constraint on space capacity. Marcoux et al [16] showed that DCMSs are more efficient than the classical CMSs in terms of throughput time, machine utilization, and work-in-process (WIP) criteria. Askin et al [2] proposed a four-stage algorithm to design cells in order to handle variation in the product mix.…”