• DocumentCode
    2169392
  • Title

    Developing a Model to Evaluate the Safety Management Performance of Construction Projects

  • Author

    Li, Cheng-Hua ; Li, Hui-Min

  • Author_Institution
    Sch. of Civil Eng., Xi´´an Univ. of Archit. & Technol., Xi´´an, China
  • fYear
    2009
  • fDate
    20-22 Sept. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Safety management is an integral part of project management, and safety performance is possible if only there is an effective safety management. A proper performance evaluation is also found to be crucial for effective safety management on construction sites. In this paper, fuzzy analytic hierarchy process, a practical and useful technique in dealing with multi-criteria decision making problems, is proposed and applied to evaluate the safety management performance of construction projects. 18 key factors that influence safety management performance are identified, and then an evaluation model is hierarchically structured. Furthermore, these factors are weighted by pairwise comparison with triangular fuzzy numbers. Results show that the proposed decision model can effectively help to solve the safety performance evaluation problem with fuzzy nature and improve the level of safety management in construction enterprise.
  • Keywords
    construction industry; decision making; fuzzy set theory; number theory; operations research; project management; safety; construction projects; decision model; fuzzy analytic hierarchy process; multicriteria decision making problems; pairwise comparison; project management; safety management performance evaluation; triangular fuzzy numbers; Accidents; Civil engineering; Construction industry; Decision making; Engineering management; Performance analysis; Personnel; Project management; Safety; Technology management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Management and Service Science, 2009. MASS '09. International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-4638-4
  • Electronic_ISBN
    978-1-4244-4639-1
  • Type

    conf

  • DOI
    10.1109/ICMSS.2009.5304613
  • Filename
    5304613