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
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