A Product Configuration Optimization Method Based on Non-dominated Sorting Genetic Algorithm

被引：0
|
作者：
Sun, W. H. [1 ]
Lu, W. C. [1 ]
Lin, D. Y. [1 ]
机构：
[1] China Jiliang Univ, Coll Mech & Elect Engn, Hangzhou 310027, Zhejiang, Peoples R China
来源：
DIGITAL DESIGN AND MANUFACTURING TECHNOLOGY II | 2011年 / 215卷
关键词：
Multi-objective optimization; Knowledge reuse; Product configuration; Non-dominated sorting genetic algorithm; SUPPLY CHAIN; INVENTORY;
D O I：
10.4028/www.scientific.net/AMR.215.366
中图分类号：
TH [机械、仪表工业];
学科分类号：
0802 ;
摘要：
In order to realize the complex product rapid configuration design in the environment of mass configuration (MC), the non-dominated sorting genetic algorithm (NGSA) for product rapid configuration design is proposed in this paper. The model of multi-objective product configuration optimization is established, and hierarchical analysis is made for configuration design. By comparing the similarity and integrity of requirement and instance, the sequence of retrieval instances is given according to the reuse degree, and multi-objective optimization configuration based on NGSA is realized. Finally, the validity and practicability of the method is verified by an instance which is applied in rapid configuration design of the drive module of tuyere puncher.
引用
收藏
页码：366 / 372
页数：7
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