• DocumentCode
    2045272
  • Title

    Study on the Coordination Modelling and Optimization of Construction Projects Safety Management

  • Author

    Li, Shuquan ; Zhu, Kongguo

  • Author_Institution
    Sch. of Bus., Tianjin Univ. of Finance & Econ., Tianjin
  • fYear
    2009
  • fDate
    23-24 May 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Construction safety management is the basic factor to realize safety production target. Although researchers and safety controllers have done plenty of work to establish a lot of safety technique standards and regulations, the situation of safety production is still unsatisfied. One of the main reasons for such phenomena is that we lack general recognition to construction projects safety management. Besides safety, time and cost are two major control items for construction projects management, and their relation is mutual influence. The best solution for a project is to achieve high safety with low cost in a proper time limit. So, the particle swarm optimization is employed to conduct multiple-objective project optimization. After formulating safety management optimization model, a numerical example is given. Calculation result indicates that Particle Swarm Optimization can accurately and efficiently solve multiple-objective project optimization problem.
  • Keywords
    accident prevention; construction industry; industrial accidents; particle swarm optimisation; project management; safety systems; construction project management; coordination modelling; multipleobjective project optimization; particle swarm optimization; safety accident; safety management optimization model; safety production target; Accidents; Artificial intelligence; Costs; Finance; Financial management; Optimization methods; Particle swarm optimization; Product safety; Production; Project management;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems and Applications, 2009. ISA 2009. International Workshop on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-3893-8
  • Electronic_ISBN
    978-1-4244-3894-5
  • Type

    conf

  • DOI
    10.1109/IWISA.2009.5073146
  • Filename
    5073146