A novel method of design elements based on EGM and fuzzy QFD

被引:0
|
作者
Liu S. [1 ]
Zhang Y. [1 ]
Lai Y. [1 ]
Wang M. [1 ]
机构
[1] Department of Industrial Design, National Cheng Kung University, Tainan
关键词
Design elements; Evaluation grid method; Fuzzy theory; Quality function deployment;
D O I
10.1504/IJPD.2018.093439
中图分类号
学科分类号
摘要
In the study, based on the evaluation grid method (EGM) and fuzzy quality function deployment (QFD), taking the design of cultural and creative products as an example, we explored the importance of customer requirements and design elements and the correlation among various design elements. In this study, the combination of EGM and fuzzy QFD could avoid their respective defects. Firstly, we used the EGM to collect and analyse customer requirements and design elements. Secondly, we calculated the weight values of the customer requirements with the analytic hierarchy process (AHP). Thirdly, we established the fuzzy relation matrix between customer requirements and design elements. In addition, the importance of design elements was calculated based on the fuzzy theory. At the end, the result of this study has drawn a conclusion including the significance ordering of the design elements within the design dimension and the correlation between each design elements. Clear quantification of design elements has a guiding role in the design process, and the research methods of combining EGM with fuzzy QFD can solve many problems in the research process. Hope that the research and results can be used for reference in the future design work. Copyright © 2018 Inderscience Enterprises Ltd.
引用
收藏
页码:408 / 420
页数:12
相关论文
共 50 条
  • [1] Fuzzy Design Scheme Selection Method Based on QFD Integrated with TRIZ
    Qiu, Changhua
    Liu, Shang
    Shi, Dongyan
    ADVANCED DESIGN AND MANUFACTURE II, 2010, 419-420 : 61 - 64
  • [2] Rating engineering characteristics in open design using a probabilistic language method based on fuzzy QFD
    Li, Shipei
    Tang, Dunbing
    Wang, Qi
    COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 135 : 348 - 358
  • [3] An Optimization Design Method of Express Delivery Service Based on Quantitative Kano Model and Fuzzy QFD Model
    Shan, Hongmei
    Fan, Xinmeng
    Long, Siyu
    Yang, Xuejing
    Yang, Shuhan
    DISCRETE DYNAMICS IN NATURE AND SOCIETY, 2022, 2022
  • [4] Research on applying fuzzy comprehensive evaluation method to conceptual design of Marine power plant based on QFD
    Liu, Jinlin
    Zeng, Fanming
    Wei, Xiaoming
    2013 SIXTH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND DESIGN (ISCID), VOL 1, 2013, : 85 - 87
  • [5] A remanufacturing process optimization method based on integrated fuzzy QFD and FMEA
    Shi J.
    Ren M.
    Shu F.
    Xu H.
    Cui J.
    Journal of Remanufacturing, 2023, 13 (2) : 121 - 136
  • [6] Spherical fuzzy bipartite graph based QFD methodology (SFBG-QFD): Assistive products design application
    Liu, Qinghua
    Chen, Xiaojiao
    Tang, Xiaoteng
    EXPERT SYSTEMS WITH APPLICATIONS, 2024, 239
  • [7] Method for rating technical characteristics in fuzzy QFD
    He, Zhen
    Zhao, You
    Ma, Yan-Hui
    Tianjin Daxue Xuebao (Ziran Kexue yu Gongcheng Jishu Ban)/Journal of Tianjin University Science and Technology, 2008, 41 (05): : 631 - 634
  • [8] Research on Individualized Design of Youth Clothing Based on QFD Method
    Chen, Wenyu
    Lei, Sun
    HUMAN-CENTERED DESIGN, OPERATION AND EVALUATION OF MOBILE COMMUNICATIONS, PT II, MOBILE 2024, 2024, 14738 : 20 - 31
  • [9] Design of a Disinfection and Epidemic Prevention Robot Based on Fuzzy QFD and the ARIZ Algorithm
    Wang, Nanyi
    Shi, Chang
    Kang, Xinhui
    SUSTAINABILITY, 2022, 14 (24)
  • [10] Integrating fuzzy based QFD and AHP for the design and implementation of a hand training device
    Wang, Duojin
    Yu, Hongliu
    Wu, Jing
    Meng, Qingyun
    Lin, Qinglian
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2019, 36 (04) : 3317 - 3331