• DocumentCode
    3023607
  • Title

    Construction Enterprises Bidding Decision-Making Based on Linear Programming

  • Author

    Jian-Bing, Liu

  • Author_Institution
    Sch. of Constr. Manage. & Real Estate, CHONGQING Univ., Chongqing, China
  • fYear
    2009
  • fDate
    25-26 April 2009
  • Firstpage
    646
  • Lastpage
    649
  • Abstract
    In present construction market situation, tender is the greatest way to win the bidding for construction enterprises. According to the rules of the tendering documents, construction enterprises must estimate basic price limitation on bidding by simulating according to the method of bidding evaluation except necessarily responding the other conditions of the bid documents, then the suitable bidding decision-making must be adopted so as to enhance the opportunity of winning the tender. The thesis is devoted to using the techniques of linear programming to formulate the bidding model which provides reference for the bidders. After analyzing a factual case, the model which can help construction enterprises to reduce the blindness of bidding of relying on experiences and winning the bidding of depending on good-luck can improve the science of bidding and the probabilities of winning the bidding, which makes a greatly theoretical and practical significance on guiding the bidding decision-making for construction enterprise.
  • Keywords
    construction industry; decision making; linear programming; tendering; bidding; construction enterprises; construction market; decision making; linear programming; price limitation; tendering; Abstracts; Blindness; Companies; Cost function; Databases; Decision making; Electronic mail; Game theory; Linear programming; Technology management; Base price limit on bidding; Bidding decision-making; Linear programming; Tender; The lowest reasonable price;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database Technology and Applications, 2009 First International Workshop on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3604-0
  • Type

    conf

  • DOI
    10.1109/DBTA.2009.86
  • Filename
    5207676