TY - GEN
T1 - Axiomatic-based product module identification method
AU - Shan, Quan
AU - Chen, Yan
AU - Lei, Yi
AU - Yan, Guang Rong
PY - 2008
Y1 - 2008
N2 - 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 identificaton is constituted, using genetic simulation annealing alogrithm. 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.
AB - 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 identificaton is constituted, using genetic simulation annealing alogrithm. 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.
KW - Axiomatic theory
KW - Genetic simulated annealing algorithm
KW - Modular design
KW - Module identification
UR - https://www.scopus.com/pages/publications/52349111495
U2 - 10.1109/CCDC.2008.4597599
DO - 10.1109/CCDC.2008.4597599
M3 - 会议稿件
AN - SCOPUS:52349111495
SN - 9781424417346
T3 - Chinese Control and Decision Conference, 2008, CCDC 2008
SP - 1649
EP - 1653
BT - Chinese Control and Decision Conference, 2008, CCDC 2008
T2 - Chinese Control and Decision Conference 2008, CCDC 2008
Y2 - 2 July 2008 through 4 July 2008
ER -