The Fuzzy Time-Cost-Quality-Environment Trade-off Analysis of Resource-Constrained Multi-mode Construction Systems for Large-Scale Hydroelectric Projects
This paper studies the fuzzy time-cost-quality-environment trade-off problem of construction project and establishes a decision making model with multiple modes under resource-constrained environment. The objective functions are to minimize the total project time, total resource cost, quality defect of all activities, and the environment impact. Furthermore, a fuzzy based adaptive-hybrid genetic algorithm is developed for finding feasible solutions. More specifically, our approach treats the uncertainty by using fuzzy expected value operator or fuzzy simulation. Finally, Jinping-II hydroelectric project was used as a practical example to demonstrate the practicality and efficiency of the method. Results and sensitivity analysis are presented to highlight the performances of our optimization method, which is very effective and efficient as compared with other algorithms.
KeywordsTime-cost-quality-environment trade-off Multi-mode Construction project Fuzzy Genetic algorithm
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- 1.Aytug H, Lawley MA, McKay K et al (2005) Executing production schedules in the face of uncertainties: A review and some future directions. European Journal of Operational Research 161(1):86–110Google Scholar
- 2.Bidot J, Thierry V, Philippe L et al (2008) A theoretic and practical framework for scheduling in a stochastic environment. Journal of Scheduling 12(3):315–344Google Scholar
- 3.Leu SS, Chen AT, Yang CH (2001) A GA-based fuzzy optimal model for construction timecost trade-off. International Journal of Project Management 19(1):47–58Google Scholar
- 4.Xu JP, Zhou XY (2009) Fuzzy-like multiple objective decision making. SpringerGoogle Scholar
- 5.Xu J, Zheng H, Zeng Z et al (2012) Discrete time-cost-environment trade-off problem for large-scale construction systems with multiple modes under fuzzy uncertainty and its application to Jinping-II Hydroelectric Project. International Journal of Project Management 30(8):950–966Google Scholar
- 6.Gen M, Cheng R, Lin L (2007) Network models and optimization: Multiobjective genetic algorithm approach. SpringerGoogle Scholar