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題名:Growing Hierarchical Self-Organizing Map Computation Approach for Clustering in Cellular Manufacturing
書刊名:工業工程學刊
作者:Chattopadhyay, ManojitDas, NityanandaDan, Pranab K.Mazumdar, Sitanath
出版日期:2012
卷期:29:3
頁次:頁181-192
主題關鍵詞:單元式製造系統多層次組織映射操作順序成組技術效率分群Cellular manufacturing systemGrowing hierarchical self-zing mapOperation sequenceGroup technology efficiencyClustering
原始連結:連回原系統網址new window
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This article focuses on approach that provides visualization of machine–part clustering in cellular manufacturing system based on sequence of operation. We propose a novel cell formation approach, namely the growing hierarchical self-organizing map (GHSOM), for dealing with 14 benchmark problems from literature. The performance of the proposed algorithm is tested with the problem data sets and the results are compared using the group technology efficiency (GTE) and computational time with the existing traditional clustering algorithms. It is found that the proposed algorithm resulted in an increase in GTE in most of the problem data sets, and the outputs of cell formation are either superior or same as existing methods. The outputs of the experiments conducted in this research lead us to the conclusion that the GHSOM is a promising alternative cell formation algorithm owing to its adaptive architecture and the ability to expose the hierarchical structure of data.
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