An integrated method of rough set, Kano's model and AHP for rating customer requirements' final importance

被引:100
作者
Li, Yanlai [1 ]
Tang, Jiafu [1 ]
Luo, Xinggang [1 ]
Xu, Jie [2 ]
机构
[1] Northeastern Univ, Sch Informat Sci & Engn, Key Lab Integrated Automat Proc Ind MOE NEU, Shenyang 110004, Liaoning, Peoples R China
[2] Northeastern Univ, Sch Software Engn, Shenyang 110004, Liaoning, Peoples R China
基金
美国国家科学基金会;
关键词
Fuzziness; Rough set; Importance rating; House of quality; Customer requirement analysis; QUALITY FUNCTION DEPLOYMENT; PRIORITIZE DESIGN REQUIREMENTS; DECISION-MAKING APPROACH; QFD PLANNING PROCESS; TARGET VALUES; FUZZY; FRAMEWORK; HOUSE;
D O I
10.1016/j.eswa.2008.08.036
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Owing to the typical vagueness or imprecision of customer requirements (CRs) in product planning house of quality (PPHOQ), determining the final importance of CRs is very difficult. Combining rough set theory, Kano's model, analytical hierarchy process (AHP), and scale method, an integrated method is proposed to obtain the final importance of CRs in PPHOQ. Firstly, by using relative reduction and relative core in rough set theory, a decision system is built to acquire CRs in PPHOQ Secondly, based on relative positive field in rough set, the decision system is simplified and its corresponding new decision system is established to determine the fundamental importance ratings of CRs. Thirdly, by integrating scale method into AHP approach, calculating formulas of the importance rating of achieving the improvement ratio of satisfaction estimation of a CR are developed, Next, for every CR, based on a combination of its fundamental importance rating, the importance rating of achieving the improvement ratio of its satisfaction estimation, and "its sales point", its final importance rating is determined. Finally, a case study is provided to illustrate the effectiveness of the presented method. (C) 2008 Published by Elsevier Ltd.
引用
收藏
页码:7045 / 7053
页数:9
相关论文
共 32 条
  • [1] AN AHP FRAMEWORK FOR PRIORITIZING CUSTOMER REQUIREMENTS IN QFD - AN INDUSTRIALIZED HOUSING APPLICATION
    ARMACOST, RL
    COMPONATION, PJ
    MULLENS, MA
    SWART, WW
    [J]. IIE TRANSACTIONS, 1994, 26 (04) : 72 - 79
  • [2] Inexact genetic algorithm approach to target values setting of engineering requirements in QFD
    Bai, H
    Kwong, CK
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2003, 41 (16) : 3861 - 3881
  • [3] Quality function deployment: A literature review
    Chan, LK
    Wu, ML
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2002, 143 (03) : 463 - 497
  • [4] A systematic approach to quality function deployment with a full illustrative example
    Chan, LK
    Wu, ML
    [J]. OMEGA-INTERNATIONAL JOURNAL OF MANAGEMENT SCIENCE, 2005, 33 (02): : 119 - 139
  • [5] Rating the importance of customer needs in quality function deployment by fuzzy and entropy methods
    Chan, LK
    Kao, HP
    Ng, A
    Wu, ML
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 1999, 37 (11) : 2499 - 2518
  • [6] Fuzzy expected value modelling approach for determining target values of engineering characteristics in QFD
    Chen, Y
    Fung, RYK
    Yang, J
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2005, 43 (17) : 3583 - 3604
  • [7] Fuzzy regression-based mathematical programming model for quality function deployment
    Chen, Y
    Tang, J
    Fung, RYK
    Ren, Z
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (05) : 1009 - 1027
  • [8] Rating technical attributes in fuzzy QFD by integrating fuzzy weighted average method and fuzzy expected value operator
    Chen, Yizeng
    Fung, Richard Y. K.
    Tang, Jiafu
    [J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 2006, 174 (03) : 1553 - 1566
  • [9] Product design resources optimization using a non-linear fuzzy quality function deployment model
    Fung, RYK
    Tang, J
    Tu, Y
    Wang, D
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2002, 40 (03) : 585 - 599
  • [10] Fung RYK, 2003, RES ENG DES, V14, P247, DOI [10.1007/s00163-003-0043-3, 10.1007/S00163-003-0043-3]