Cell formation using a simulated annealing algorithm with variable neighbourhood

被引:32
作者
Ying, Kuo-Ching [2 ]
Lin, Shih-Wei [1 ]
Lu, Chung-Cheng [3 ]
机构
[1] Chang Gung Univ, Dept Informat Management, Tao Yuan 333, Taiwan
[2] Natl Taipei Univ Technol, Dept Ind Engn & Management, Taipei 106, Taiwan
[3] Natl Taipei Univ Technol, Grad Inst Informat & Logist Management, Taipei 106, Taiwan
关键词
cell formation problem; CFP; manufacturing cell design; simulated annealing; meta-heuristic; SIMILARITY COEFFICIENT METHOD; GROUP TECHNOLOGY PROBLEM; MANUFACTURING SYSTEMS; CLUSTERING-ALGORITHM; PART-FAMILIES; GENETIC ALGORITHM; SETUP TIMES; HEURISTICS; DESIGN; ASSIGNMENT;
D O I
10.1504/EJIE.2011.037224
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The broad applications of cellular manufacturing make the cell formation problem (CFP) a core subject in the field of manufacturing. Due to the combinatorial nature of the CFP, a simulated annealing-based meta-heuristic with variable neighbourhood was developed to form part-machine cells. To validate and verify the proposed approach, computational experiments were conducted on a set of CFPs from the literature. Using the grouping efficacy as a performance criterion, the proposed approach is shown to outperform existing state-of-the-art algorithms by exceeding or matching the best known solutions in the majority of the test problems. The evaluation results clearly show that this study successfully develops an effective approach for CFPs. [Submitted 25 July 2009; Revised 22 October 2009, 11 November 2009; Accepted 12 November 2009]
引用
收藏
页码:22 / 42
页数:21
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