• DocumentCode
    2872984
  • Title

    Model on Selecting the Strategic Partner for Construction Project Owners

  • Author

    Jianbing, Liu ; Zhiming, Li ; Hong, Ren

  • Author_Institution
    Sch. of Econ. & Manage., Jiangxi Univ. of Sci. & Technol., Ganzhou, China
  • Volume
    2
  • fYear
    2009
  • fDate
    18-19 July 2009
  • Firstpage
    229
  • Lastpage
    232
  • Abstract
    The partners of construction project is a new kind of construction project management method, the ideal project partners selected is an important topic that the project owners construction. In this paper, the improved TOPSIS method and the principle of linear programming are introduced to built the model of selecting the partners for the project owners, the comprehensive evaluation systems are designed, then, according to the above evaluation systems, the improved TOPSIS way was applied to screening the project partners, linear programming and entropy principle are used to optimize the project partners, which are used to build the three stages model selection. The use of that party contractor selection method can be optimized to achieve the project parties to which the project owners select the partners. The above methods are applied to optimize to select the partners for project owners, the project partners can achieve "win-win" results, the harmonious management of the project can be realized.
  • Keywords
    construction industry; linear programming; project management; TOPSIS method; construction project management; entropy principle; linear programming; party contractor selection method; project partner selection; strategic partner; Conference management; Design optimization; Entropy; Fuzzy neural networks; Genetic engineering; Information processing; Linear programming; Optimization methods; Project management; Technology management; construction projects; the improved TOPSIS; the owners; the partner selection; the project implementers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing, 2009. APCIP 2009. Asia-Pacific Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-0-7695-3699-6
  • Type

    conf

  • DOI
    10.1109/APCIP.2009.192
  • Filename
    5197177