Abstract
The management problem of projects has received more attention in recent years due to the trend towards increasing complexity in the construction industry. Time, cost and quality are three important aspects of project management. Thus, achieving a balance among the minimum project time, minimum project cost and maximum project quality can determine the success of a construction project. Moreover, the time of a project not only affects the cost but also the quality of the project. However, most research usually ignores the influence of the stochastic environments and considers the time of the project as a constant. Thus, this paper explores a new method to measure the stochastic time based on system reliability theory. Two stochastic time-cost-quality tradeoff optimization models are formulated for two construction projects with considering crossover operations or not, respectively. The optimization of the time reliability-cost-quality tradeoff for the project is achieved by using the particle swarm optimization algorithm. Finally, two illustrative examples are used to demonstrate the effectiveness of the two proposed models for a construction project with four activities.
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Abbreviations
- a 1 :
-
Increasing marginal cost parameter
- C i :
-
The total cost of activity i
- \(C_i^0\) :
-
The direct contract cost of activity i
- \(C_i^D\) :
-
The direct cost of activity i
- \(C_i^I\) :
-
The indirect cost of activity i
- \(C_i^T\) :
-
The tardiness cost of activity i
- t 0 :
-
The total contract time
- T i :
-
The actual time of activity i
- \(T_i^a\) :
-
The tax of activity i
- \(t_i^0\) :
-
The contract time of activity i
- \(t_0^m\) :
-
The sum of the most optimistic time
- \(t_i^m\) :
-
The time of activity i without the impact of environment
- P i :
-
The profit of activity i
- Q i :
-
The quality of activity i
- r 1 :
-
Overhead rate
- r 2 :
-
The profit margin
- r 3 :
-
Tax rate
- r 4 :
-
The reward and punishment parameter per day
- X i :
-
Additional time of activity i due to environmental effects
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This work was supported by the National Natural Science Foundation of China (72201148).
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Wang, J., Wang, Z. & Liu, H. Multi-objective Stochastic Time-cost-quality Optimization for Construction Projects Based on the Reliability Theory. KSCE J Civ Eng 27, 4545–4556 (2023). https://doi.org/10.1007/s12205-023-1083-z
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DOI: https://doi.org/10.1007/s12205-023-1083-z