A SA-based method for developing modular product family

被引：0
|
作者：
Wang, HJ [1 ]
Zhang, Q [1 ]
Zhao, TT [1 ]
机构：
[1] Dalian Univ, Liaoning Key Lab Intelligent Informat Proc, Dalian 116622, Peoples R China
来源：
Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9 | 2005年
关键词：
mass customization; modular design; product family; simulated annealing;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Modular design technologies play a vital role in the success of mass customization. A method based on SA (Simulated Annealing) algorithm for developing modular product family is presented in this article. Combining the functional, physical and assistant characteristics, the fuzzy relationship among components is quantitatively described. The analytic hierarchy process (AHP) is then used to distribute weights for the establishment of fuzzy relationship matrix. A simulated annealing technique is further applied to optimize the objective function typified by maximizing the sum of similarities among components, so as to obtain the optimal modular product family. Finally, a case of speed reducer is given to validate the process of modularizing product family.
引用
收藏
页码：2483 / 2488
页数：6
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