Stochastic Multi-variate Performance Trade-off Method for Technical Tender Evaluation
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This paper presents a computational method called Stochastic Multi-variate Performance Trade-off (SMPT), which identifies optimal sets of construction methods for activities, hence appropriately trading-off the project completion time, cost, environmental impact, and quality. SMPT computes exact solution(s), near-optimal solution(s), and stochastic optimal solution(s) using an enumerative analysis, genetic algorithm, and simulation, respectively. This study is of value to project planners because SMPT identifies the sets of construction methods that satisfy user-defined constraints relative to specific performance indicators. SMPT is also of relevance to researchers because it facilitates experiments using different performance indicators, either jointly or independently. Three test cases verify the validity of the computational methods.
Keywordsmulti-objective optimization genetic algorithm analytic hierarchical process trade-off simulation scheduling
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