Part-family formation for cellular manufacturing: A case study at Harnischfeger

1999 ◽  
Vol 37 (14) ◽  
pp. 3263-3273 ◽  
Author(s):  
Hamid Seifoddini ◽  
Boby Tjahjana
2014 ◽  
Vol 635-637 ◽  
pp. 1586-1589
Author(s):  
Guan Yu Liu ◽  
Shan Li ◽  
Yu Long Wang

To solve the problem of design and manufacturing on the production of many varieties of small batch, the parts grouping method that based on clustering algorithm, clustering validity index and BP neural network method for new parts is proposed. At first, mathematical model of part clustering is built, and parts grouping is based on the similarity of data and cluster centers which is calculated by Euclidean distance, then the effectiveness of parts group is tested by Function Index and optimal number of clusters group can be found. The algorithm is achieved by Matlab clustering toolbox, so the best part family structure is built. Furthermore, the grouped parts are used to train the BP neural network toolbox in Matlab, then simulate new parts on network to find the match group. At last, a case study was also presented to verify the feasibility of this method.


Author(s):  
Imen Zaabar ◽  
Vladimir Polotski ◽  
Léon Bérard ◽  
Boujemaa El-Ouaqaf ◽  
Yvan Beauregard ◽  
...  

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