DocumentCode
3266852
Title
Method of extension classification configuration for product family case
Author
Luo, Yu ; Guo, Gang
Author_Institution
Sch. of Electr. & Inf. Eng., Chongqing Univ., Chongqing, China
fYear
2011
fDate
18-20 Aug. 2011
Firstpage
223
Lastpage
226
Abstract
The product family configuration method based on CBR (case-based reasoning) extension classification with matter-element model of Extenics theory was introduced aiming at the rapidity in product configuration of large complex product. Firstly, a product family case matter element was confirmed by the information of product family BOM structure. According to functional characteristics of products, the influence factors of product family configuration based on CBR could be adopted to establish the classical and limited matter elements, the dependent function of matter-element and extension sets are applied to evaluate the effects of product configuration. Moreover, an under test matter-element model was built with configuration requirements; the classification of the sample could be obtained by means of classification analysis. The results show that the optimal choice for the most similar product family case can be reflected and the rapidity of configuration also could be promoted.
Keywords
case-based reasoning; product customisation; production engineering computing; CBR; case-based reasoning; extenics theory; extension classification configuration; product family BOM structure; product family configuration method; Bills of materials; Classification algorithms; Cognition; Correlation; Educational institutions; Gears; Mass customization; Extenics; case-based reasoning; classification; matter-element model; product configuration;
fLanguage
English
Publisher
ieee
Conference_Titel
Cognitive Informatics & Cognitive Computing (ICCI*CC ), 2011 10th IEEE International Conference on
Conference_Location
Banff, AB
Print_ISBN
978-1-4577-1695-9
Type
conf
DOI
10.1109/COGINF.2011.6016144
Filename
6016144
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