多平台下的参数化产品族多目标智能优化

Chinese Journal of Management Science ›› 2011, Vol. 19 ›› Issue (4): 111-119.

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Multi-Objective Intelligent Optimization Design Method for Multi-Platform Based Scaled-Based Product Family

WANG Ke-xi¹, YUAN Ji-jun², HUANG Min-mei³, CHEN Wei-min¹

1. Management School of Hunan University of Science and Technology, Xiangtan 411201, China;
2. Finance Department of Guangdong University Business College Guangdong, Guangzhou 510320, China;
3. Public Administration School, South China Normal University, Guang

Received:2010-12-01 Revised:2011-05-03 Online:2011-08-30 Published:2011-08-30

Abstract

Abstract: According to the characteristic and complexity of scale-based product family based on multi-platform,a two-level multi-objective concurrent collaborative optimization algorithm are presented to solve multi-platform based product family model during a single optimization process.The simulation experiment shows that the presented method in the case of unknown platform variables can simultaneously determine the optimal settings for the product platform and corresponding product family,by automatically varying the amount of plat form commonality within the scale-based product family.

Key words: mass customization, scale-based product family, multi-objective optimization, genetic algorithm

CLC Number:

C931

WANG Ke-xi,YUAN Ji-jun,HUANG Min-mei, et al. Multi-Objective Intelligent Optimization Design Method for Multi-Platform Based Scaled-Based Product Family[J]. Chinese Journal of Management Science, 2011, 19(4): 111-119.

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Multi-Objective Intelligent Optimization Design Method for Multi-Platform Based Scaled-Based Product Family

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