Title of article :
System reliability theory based multiple-objective optimization model for construction projects
Author/Authors :
Tao، نويسنده , , Ran and Tam، نويسنده , , Chi-Ming، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
11
From page :
54
To page :
64
Abstract :
Although the system reliability theory has a high capability in quality quantification, while system reliability optimization (SRO) has been well developed in manufacturing engineering, seldom can their applications be found in the construction industry. This study aims to develop a system reliability theory based multiple-objective optimization model to conduct SRO, and then identify the cost–quality trade-off solution for construction projects. First, the whole construction project is treated as a system composed of different work packages. Second, the reliability function is employed to quantify the quality performance and the nonlinear cost-reliability function is set up. Moreover, according to the physical arrangements among each work package, the system reliability structural function is determined. Third, the total construction cost minimization and system reliability maximization are defined as multiple-objectives. The particle swarm optimization algorithm is employed to search for the Pareto-optimal solutions, from which the final cost–quality trade-off solution can be selected. A real construction case is used to evaluate the workability of the proposed model and the results have fully proven its validity and practicality.
Keywords :
Particle swarm optimization algorithm , System reliability theory , System reliability optimization , Multiple objectives optimization model
Journal title :
Automation in Construction
Serial Year :
2013
Journal title :
Automation in Construction
Record number :
1338608
Link To Document :
بازگشت