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• W2000891935 abstract "The cell formation problem determines the decomposition of the manufacturing cells of a production system in which machines are assigned to these cells to process one or more part families so that each cell is operated independently and the intercellular movements are minimized or the number of parts flow processed within cells is maximized. In this study, a simple yet effective simulated annealing-based approach, SACF, is proposed to solve the cell formation problem. Considerable efforts are devoted to the design of parts and machine assignment procedures to direct SACF to converge to solutions with good values of grouping efficacy. A set of 25 test problems with various sizes drawn from the literature is used to test the performance of the proposed heuristic algorithm. The corresponding results are compared to several well-known algorithms published. The comparative study shows that the proposed SACF algorithm improves the grouping efficacy for 72% of the test problems. The proposed algorithm should thus be useful to both practitioners and researchers." @default.
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• W2000891935 date "2008-04-01" @default.
• W2000891935 modified "2023-09-23" @default.
• W2000891935 title "A simulated annealing algorithm for manufacturing cell formation problems" @default.
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• W2000891935 doi "https://doi.org/10.1016/j.eswa.2007.01.012" @default.
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