Customer preference oriented product design using AHP-modified TOPSIS approach

被引:15
作者
Gangurde, Sanjay R. [1 ]
Akarte, Milind M. [2 ]
机构
[1] KK Wagh Inst Engn Educ & Res, Dept Prod Engn, Nasik, India
[2] Natl Inst Ind Engn, Bombay, Maharashtra, India
关键词
Product design; Decision making; Customer requirements; Mobile technology; Product design evaluation; Multi Attribute Decision Making; Analytical hierarchy process; Modified TOPSIS; Mobile selection;
D O I
10.1108/BIJ-08-2011-0058
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
Purpose - The purpose of this paper is to propose a multi-criteria decision making (MCDM) approach to evaluate product design alternatives in respect to the customer requirements. Design/methodology/approach - This paper reports a systematic approach developed to concurrently satisfy the product requirements as well as the customer requirements. Mobile phone example has been elected to demonstrate the approach. Mobile product features and customer preferences data have been collected and analyzed to obtain the commonalities from the designer and customer perspective. Regression analysis has been carried out to establish the relationship between the product independent features with the dependent feature (Ex. Cost, Talk time). Based on the equations developed, different product configurations have been defined from the designer's point of view. Modified TOPSIS - a multi attribute decision making (MADM) method - has been employed to facilitate the most suitable product configuration selection based on the customer requirements. Findings - The method facilitates design of the best product configuration that will maximize customer satisfaction with minimum cost. Originality/value - The proposed methodology will provide a useful tool to the decision maker, which may help to eliminate the associated risks in the product design configuration that closely satisfy customer's expectations and product launching decision.
引用
收藏
页码:549 / 564
页数:16
相关论文
共 28 条
  • [1] Data-mining-based methodology for the design of product families
    Agard, B
    Kusiak, A
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2004, 42 (15) : 2955 - 2969
  • [2] A decision support system for product design selection: A generalized purchase modeling approach
    Besharati, B.
    Azarm, S.
    Kannan, P. K.
    [J]. DECISION SUPPORT SYSTEMS, 2006, 42 (01) : 333 - 350
  • [3] Perceptual factors underlying user preferences toward product form of mobile phones
    Chuang, MC
    Chang, CC
    Hsu, SH
    [J]. INTERNATIONAL JOURNAL OF INDUSTRIAL ERGONOMICS, 2001, 27 (04) : 247 - 258
  • [4] Inter-company comparison using modified TOPSIS with objective weights
    Deng, H
    Yeh, CH
    Willis, RJ
    [J]. COMPUTERS & OPERATIONS RESEARCH, 2000, 27 (10) : 963 - 973
  • [5] Mass customization: A method for market segmentation and choice menu design
    Fogliatto, Flavio S.
    da Silveira, Giovani J. C.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 2008, 111 (02) : 606 - 622
  • [6] GAVISH B, 1983, J MANAGEMENT SCI, V29, P1277
  • [7] Identifying mobile phone design features critical to user satisfaction
    Han, SH
    Kim, KJ
    Yun, MH
    Hong, SW
    Kim, J
    [J]. HUMAN FACTORS AND ERGONOMICS IN MANUFACTURING, 2004, 14 (01): : 15 - 29
  • [8] A systematic approach for coupling user satisfaction with product design
    Han, SH
    Hong, SW
    [J]. ERGONOMICS, 2003, 46 (13-14) : 1441 - 1461
  • [9] Ho T.-H., 1998, PRODUCT VARIETY MANA
  • [10] Identification of the optimal product configuration and parameters based on individual customer requirements on performance and costs in one-of-a-kind production
    Hong, G.
    Hu, L.
    Xue, D.
    Tu, Y. L.
    Xiong, Y. L.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (12) : 3297 - 3326