Mobile phone selection based on a novel quality function deployment approach

被引:19
|
作者
Efe, Burak [1 ]
Yerlikaya, Mehmet Akif [2 ]
Efe, Omer Faruk [3 ]
机构
[1] Necmettin Erbakan Univ, Dept Ind Engn, Konya, Turkey
[2] Bitlis Eren Univ, Dept Ind Engn, Bitlis, Turkey
[3] Afyon Kocatepe Univ, Dept Ind Prod Design, Afyon, Turkey
关键词
Quality function deployment; New product development; TOPSIS; Interval type-2 fuzzy number; Mobile phone selection; HESITANT FUZZY; PRODUCT DEVELOPMENT; QFD; MODEL; METHODOLOGY; INTEGRATION;
D O I
10.1007/s00500-020-04876-x
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Fuzzy quality function deployment (QFD) approach has been extensively implemented to transform customer requirements (CRs) into products or services because fuzzy numbers provide to obtain more accurately the judgments of experts in vagueness environment. This study proposes to use interval type-2 fuzzy (IT2F) numbers in the improving of fuzzy QFD method. The developed IT2F number-based QFD approach utilizes IT2F sets to define the correlations among CRs; the relations between CRs and design requirements (DRs); the correlations among DRs; the weights of DRs. There is no paper about integrating QFD approach and IT2F set in the literature. IT2F numbers include more accurately the judgments of the experts to express the vagueness of the applications. In addition, TOPSIS (technique for order performance by similarity to ideal solution) approach based on interval type-2 trapezoidal fuzzy (IT2TrF) is utilized to select the best mobile phone. Finally, mobile phone selection implementation is handled to indicate the efficiency of the proposed method.
引用
收藏
页码:15447 / 15461
页数:15
相关论文
共 50 条
  • [41] An application of Quality Function Deployment method in engineering materials selection
    Kasaei, Afshar
    Abedian, Ali
    Milani, A. S.
    MATERIALS & DESIGN, 2014, 55 : 912 - 920
  • [42] Application of Quality Function Deployment for Product Design Concept Selection
    Shvetsova, Olga A.
    Park, Sung Chul
    Lee, Jang Hee
    APPLIED SCIENCES-BASEL, 2021, 11 (06):
  • [43] Mode Selection in Transportation System: Implications of Quality Function Deployment
    Kamariah, Najmi
    Ganna, Oktavianus Riza
    Kadir, Abdul Rahman
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON ACCOUNTING, MANAGEMENT, AND ECONOMICS 2017 (ICAME 2017), 2017, 40 : 376 - 387
  • [44] Quality function deployment and Taguchi methods: A pragmatical approach
    Gentili, E
    Galetto, F
    AMST 02: ADVANCED MANUFACTURING SYSTEMS AND TECHNOLOGY, PROCEEDINGS, 2002, (437): : 633 - 640
  • [45] AN EXTENSIVE EVALUATION DESIGN APPROACH TO QUALITY FUNCTION DEPLOYMENT
    Wu, Chang-Tzuoh
    Liu, Nien-Te
    APPLIED SCIENCE AND PRECISION ENGINEERING INNOVATION, PTS 1 AND 2, 2014, 479-480 : 1197 - +
  • [46] A quality function deployment approach to strategic capital budgeting
    Partovi, FY
    DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3, 1998, : 1702 - 1704
  • [47] A mobile phone-based approach to detection of hemolysis
    Archibong, Edikan
    Konnaiyan, Karthik Raj
    Kaplan, Howard
    Pyayt, Anna
    BIOSENSORS & BIOELECTRONICS, 2017, 88 : 204 - 209
  • [48] Improved quality function deployment (II). A systematic approach
    Liu, Hongen
    Zhang, Lieping
    Che, Ada
    Sun, Jianhua
    Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice, 2000, 20 (02): : 58 - 62
  • [49] A computerized quality function deployment approach for retail services
    Trappey, CV
    Trappey, AJC
    Hwang, SJ
    COMPUTERS & INDUSTRIAL ENGINEERING, 1996, 30 (04) : 611 - 622
  • [50] Information-based quality function deployment
    Su, Y
    Zhang, B
    Tang, D
    Yu, M
    COMPUTER-AIDED PRODUCTION ENGINEERING, 2001, : 377 - 380