A two-phase part family formation model to optimize resource planning: a case study in the electronics industry

2022 ◽  
Author(s):  
Imen Zaabar ◽  
Vladimir Polotski ◽  
Léon Bérard ◽  
Boujemaa El-Ouaqaf ◽  
Yvan Beauregard ◽  
...  
Keyword(s):  
Family Formation ◽  
Resource Planning ◽  
Electronics Industry ◽  
Formation Model ◽  
Two Phase ◽  
Part Family ◽  
Part Family Formation

Part Family Formation Based on Clustering Algorithm and BP Network

2014 ◽  
Vol 635-637 ◽  
pp. 1586-1589
Author(s):  
Guan Yu Liu ◽  
Shan Li ◽  
Yu Long Wang
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Clustering Algorithm ◽  
Family Formation ◽  
Optimal Number ◽  
Bp Network ◽  
Part Family ◽  
Part Family Formation ◽  
Clustering Validity

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．

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