Rough set-based approach for modeling relationship measures in product planning

被引:12
作者
Li, Yan-Lai [1 ,2 ]
Tang, Jia-Fu [2 ]
Chin, Kwai-Sang [3 ]
Luo, Xing-Gang [2 ]
Han, Yi [4 ]
机构
[1] SW Jiaotong Univ, Sch Traff Transportat & Logist, Chengdu 610031, Sichuan, Peoples R China
[2] Northeastern Univ, Nat Key Lab Integrated Automat Proc Ind, Sch Informat Sci & Engn, Shenyang 110004, Liaoning, Peoples R China
[3] City Univ Hong Kong, Dept Syst Engn & Engn Management, Kowloon Tong, Hong Kong, Peoples R China
[4] Zhejiang Univ Technol, Sch Econ & Management, Hangzhou 310023, Zhejiang, Peoples R China
基金
美国国家科学基金会;
关键词
Quality function deployment; Customer requirement; Engineering characteristic; Relationship measure; Rough set; QUALITY FUNCTION DEPLOYMENT; PRIORITIZE DESIGN REQUIREMENTS; ENGINEERING CHARACTERISTICS; CUSTOMER REQUIREMENTS; SYSTEMATIC-APPROACH; QFD; FRAMEWORK; CLASSIFICATION; IMPLEMENTATION; DIFFICULTIES;
D O I
10.1016/j.ins.2011.12.017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Quality function deployment (QFD) provides a planning and problem-solving methodology that is widely renowned for translating customer requirements (CRs) into engineering characteristics (ECs) for new product development. As the first phase of QFD, product planning house of quality (PPHOQ) plays a very important role in this process. The degrees and directions of the relationship measures between CRs and ECs have serious effects on the special planning of ECs, modeling the relationship measures is an important step in constructing PPHOQ The current paper presents a rough set (RS)-based approach for modeling relationship measures by determining the knowledge and experience of the QFD team, aided by the introduction of the type factor of a relationship used to express the effects of the relationship types. A study of general cases is used to demonstrate the performances and limitations of the proposed RS-based approach. The results show that the novel approach effectively determines the relative knowledge of the QFD team and facilitates decision-making in new product development. (C) 2012 Elsevier Inc. All rights reserved.
引用
收藏
页码:199 / 217
页数:19
相关论文
共 79 条
[1]  
Akao Y., 2003, International Journal of Quality Reliability Management, V20, P20, DOI 10.1108/02656710310453791
[2]   AN AHP FRAMEWORK FOR PRIORITIZING CUSTOMER REQUIREMENTS IN QFD - AN INDUSTRIALIZED HOUSING APPLICATION [J].
ARMACOST, RL ;
COMPONATION, PJ ;
MULLENS, MA ;
SWART, WW .
IIE TRANSACTIONS, 1994, 26 (04) :72-79
[3]   Review, analysis and classification of the literature on QFD - Types of research, difficulties and benefits [J].
Carnevalli, Jose A. ;
Miguel, Paulo Cauchick .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 114 (02) :737-754
[4]   Axiomatic design application for minimising the difficulties of QFD usage [J].
Carnevalli, Jose Antonio ;
Cauchick Miguel, Paulo Augusto ;
Calarge, Felipe Araujo .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2010, 125 (01) :1-12
[5]   Quality function deployment: A literature review [J].
Chan, LK ;
Wu, ML .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 143 (03) :463-497
[6]   A systematic approach to quality function deployment with a full illustrative example [J].
Chan, LK ;
Wu, ML .
OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2005, 33 (02) :119-139
[7]   Fuzzy Nonlinear Models for New Product Development Using Four-Phase Quality Function Deployment Processes [J].
Chen, Liang-Hsuan ;
Ko, Wen-Chang .
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2011, 41 (05) :927-945
[8]   Fuzzy linear programming models for NPD using a four-phase QFD activity process based on the means-end chain concept [J].
Chen, Liang-Hsuan ;
Ko, Wen-Chang .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2010, 201 (02) :619-632
[9]   A hybrid model based on rough sets theory and genetic algorithms for stock price forecasting [J].
Cheng, Ching-Hsue ;
Chen, Tai-Liang ;
Wei, Liang-Ying .
INFORMATION SCIENCES, 2010, 180 (09) :1610-1629
[10]   An evidential reasoning based approach for quality function deployment under uncertainty [J].
Chin, Kwai-Sang ;
Wang, Ying-Ming ;
Yang, Jian-Bo ;
Poon, Ka Kwai Gary .
EXPERT SYSTEMS WITH APPLICATIONS, 2009, 36 (03) :5684-5694