• DocumentCode
    2099361
  • Title

    AHP Methodology for Partner Selection in Collaborative Design

  • Author

    Hou, Junming ; Su, Chong ; Wang, Wanshan

  • Author_Institution
    Sch. of Mech. Eng. & Autom., Northeastern Univ., Shenyang, China
  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    674
  • Lastpage
    677
  • Abstract
    Collaborative design is a new design style for mechanical manufacture. It can help designers of different places complete the same design project at the same time. It is an important problem to select a suitable partner for the collaborative design project from the partners. A fuzzy analytic hierarchy process (AHP) methodology is presented for the partner selection, which provide a multi-criteria decision making approach for partner evaluation and selection decision. Firstly, the concept of fuzzy analytic hierarchy process (AHP) is introduced, which assist to acknowledge the concept. Secondly, the methodology for criteria weights is established to search for the suitable partner by fuzzy AHP method. The partner selection system is established by means of fuzzy AHP method. XML is applied for the evaluation model to explain the relationship of system. At last, a prototype is presented to demonstrate the methodology.
  • Keywords
    XML; decision making; design for manufacture; fuzzy set theory; operations research; AHP methodology; XML; collaborative design partner selection; criteria weights; fuzzy analytic hierarchy process; mechanical manufacture; multicriteria decision making; Collaborative work; Computer aided manufacturing; Computer science; Decision making; Design automation; Fuzzy systems; International collaboration; Manufacturing automation; Mechanical engineering; Project management; AHP; collaborative design; framework; fuzzy; network manufacture;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.359
  • Filename
    4731713