DocumentCode
2558682
Title
Axiomatic-based product module identification method
Author
Quan, Shan ; Yan, Chen ; Yi, Lei ; Guang-rong, Yan
Author_Institution
Dept. of Autom. Eng., Northeastern Univ., Qinhuangdao
fYear
2008
fDate
2-4 July 2008
Firstpage
1649
Lastpage
1653
Abstract
A module identification numerical optimize method, which based on axiomatic design theory, is proposed. Firstly, a series of property relationship which faces to product lifecycle is divided into four kinds of correlation degree, and then the integrated relationship matrix of product component is obtained. Secondly, the optimization function of module identification which based on the principle of axiomatic design (namely, close cohesion and loose coupling) is established. Thirdly, the numerical optimization method of the product module identification is constituted, using genetic simulation annealing algorithm. Some key issues such as creating the synthesis relationship matrix, building the objective optimization function, disposing the single component module, coding the chromosome and judging the new chromosome validity are solved. An example is presented to demonstrate the feasibility of the related approaches proposed.
Keywords
genetic algorithms; identification; simulated annealing; axiomatic design theory; axiomatic-based product module identification method; genetic simulation annealing algorithm; integrated relationship matrix; module identification numerical optimize method; objective optimization function; product lifecycle; synthesis relationship matrix; Algorithm design and analysis; Biological cells; Buildings; Computer integrated manufacturing; Design automation; Design optimization; Genetics; Mechanical engineering; Optimization methods; Simulated annealing; Axiomatic Theory; Genetic Simulated Annealing Algorithm; Modular Design; Module Identification;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference, 2008. CCDC 2008. Chinese
Conference_Location
Yantai, Shandong
Print_ISBN
978-1-4244-1733-9
Electronic_ISBN
978-1-4244-1734-6
Type
conf
DOI
10.1109/CCDC.2008.4597599
Filename
4597599
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