A decision support model in mass customization

被引：28

作者：

Xu, Yang ^{[1
]}

Landon, Yann ^{[2
]}

Segonds, Stephane ^{[2
]}

Zhang, Yicha ^{[3
]}

机构：

[1] Peking Univ, Dept Informat Management, Beijing 100871, Peoples R China

[2] Univ Toulouse, Inst Clement Ader, UMR CNRS 5312, INSA UPS Mines Albi ISAE, 3 Rue Caroline Aigle, F-31400 Toulouse, France

[3] Ecole Cent Nantes, IRCCyN, F-44300 Nantes, France

来源：

COMPUTERS & INDUSTRIAL ENGINEERING | 2017年 / 114卷

关键词：

Mass customization; Decision support systems; Optimization; Genetic algorithms; DISCRETE OPTIMIZATION; PRODUCT DEVELOPMENT; DESIGN; CAPABILITIES; MANAGEMENT; ALGORITHMS;

D O I：

10.1016/j.cie.2017.09.046

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Mass customization (MC) is one of the leading strategies used in production industries in today's market filled with competition. MC is an oxymoron of controlling production costs and satisfying customers' individual requirements. It is well known that economy of scale and economy of scope is a pair of conflicts, and how to get the balance between them is the key issue to promote enterprises' competition. By analyzing and processing information of customer preference, product features and cost, this paper proposes a decision support model in mass customization to obtain the optimized production solution. Genetic algorithm is used for optimization, and the results of an illustrative example show that the model is efficient in production industries.

引用

页码：11 / 21

页数：11

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