A fuzzy quality function deployment system for buildable design decision-makings

被引:108
|
作者
Yang, YQ
Wang, SQ
Dulaimi, M
Low, SP
机构
[1] Sch Design & Environm, Dept Bldg, Singapore 117566, Singapore
[2] Tsing Hua Univ, Dept Construct Management, Beijing 100084, Peoples R China
[3] Univ W England, Fac Built Environm, Bristol BS16 1QY, Avon, England
关键词
quality function deployments; house of quality; fuzzy set theory;
D O I
10.1016/S0926-5805(03)00002-5
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
During the conceptual stage of a building design, major design decisions that have the greatest influence on buildability of a project are taken. Quality function deployment (QFD) is an integrated decision-making methodology that can assure and improve the alignment of elements of design and construction processes with the requirements of customers. On the basis of the enlarged customer concept, QFD has the potential to be developed as a quantitative approach for buildability evaluation. This paper presents the findings of a research effort to adapt House of Quality (HOQ) to meet the needs of buildable designs in the construction industry and to develop a fuzzy QFD system for buildability evaluation. In this system, the fuzzy set theory is integrated into HOQ to capture the inherent impreciseness and vagueness of design-relevant inputs and facilitate the analysis of design-relevant QFD information. An example is presented to illustrate the system, which provides a viable decision-making method for quantitative buildability evaluation at the early design phase. (C) 2003 Elsevier Science B.V All rights reserved.
引用
收藏
页码:381 / 393
页数:13
相关论文
共 50 条
  • [11] An intelligent fuzzy logic-based system to support quality function deployment analysis
    Iranmanesh, Seyed H.
    Rastegar, Hamid
    Mokhtarani, Mohammad H.
    CONCURRENT ENGINEERING-RESEARCH AND APPLICATIONS, 2014, 22 (02): : 106 - 122
  • [12] A fuzzy group decision-making model with risk-taking attitudes in quality function deployment
    Liu, Chin-Hung
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2009, 20 (06) : 211 - 224
  • [13] Fuzzy measurable house of quality and quality function deployment for fuzzy regression estimation problem
    Wu, Qi
    EXPERT SYSTEMS WITH APPLICATIONS, 2011, 38 (12) : 14398 - 14406
  • [14] Applying Quality Function Deployment in Game Design
    Wang, Yi
    Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation, 2016, 24 : 277 - 280
  • [15] A Group Decision-Making Framework with Various Rating Attitudes Using Fuzzy Set Theory to Prioritize Design Requirements in Quality Function Deployment
    Liu, Chin-Hung
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2008, 15 (03): : 294 - 303
  • [16] Integrating fuzzy logic into quality function deployment for product positioning
    Yang, Chang Lin
    Fang, Hsiao Hua
    Journal of the Chinese Institute of Industrial Engineers, 2003, 20 (03): : 275 - 281
  • [17] Research on fuzzy information modeling process of Quality Function Deployment
    Ren, Z. H.
    Li, X. P.
    Dai, J. S.
    Wen, B. C.
    MATERIALS AND PRODUCT TECHNOLOGIES, 2008, 44-46 : 691 - 696
  • [18] mHealth apps design using quality function deployment
    Barutcu, Suleyman
    INTERNATIONAL JOURNAL OF HEALTH CARE QUALITY ASSURANCE, 2019, 32 (04) : 698 - 708
  • [19] A FUZZY GROUP DECISION-MAKING METHOD IN THE RELATIONSHIP BETWEEN CUSTOMER REQUIREMENTS AND TECHNICAL MEASURES OF QUALITY FUNCTION DEPLOYMENT
    Liu, Chin-Hung
    Wu, Hsin-Hung
    INTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE, 2008, 15 (02): : 211 - 219
  • [20] Applications of quality function deployment to apparel design in Taiwan
    Huang, Y. Y.
    Tan, Bertram
    JOURNAL OF FASHION MARKETING AND MANAGEMENT, 2007, 11 (02) : 215 - +