Abstract
The part-machine cell formation problem (PMCFP) is a crucial step in the design of a cellular manufacturing system and has received considerable research attention over the last five decades. This study proposes a simulated annealing-based meta-heuristic for solving the PMCFP. The effectiveness of the proposed approach is compared to conventional algorithms across a set of PMCFPs available in the literature. Computational results using four types of performance measures show that the proposed simulated annealing-based meta-heuristic is highly effective by comparison with conventional algorithms for PMCFPs on the same test problems.
Acknowledgement
This research was partially supported by the National Science Council of the Republic of China, Taiwan, under Contract No. NSC 97-2221-E-211-016/NSC 97-2410-H-211-001-MY2.