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MULTI-OBJECTIVE DECISION-MAKING TO SELECT MULTIPLE PROJECT DELIVERY METHODS FOR MULTI-PROJECT TRANSPORTATION SYSTEMS |
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| รหัสดีโอไอ | |
| Title | MULTI-OBJECTIVE DECISION-MAKING TO SELECT MULTIPLE PROJECT DELIVERY METHODS FOR MULTI-PROJECT TRANSPORTATION SYSTEMS |
| Creator | ZIQIANG ZENG, R. EDWARD MINCHIN, LOURDES PTSCHELINZEW, and YUANXIN ZHANG |
| Publisher | ISEC Press |
| Publication Year | 2557 |
| Keyword | Fuzzy, Multi-project transportation system, Pareto solutions. |
| Abstract | This paper focuses on providing a methodology to optimize the selection of multiple project delivery methods for multi-project transportation systems under uncertainty. In contrast to previous studies, this paper considers that owners sometimes divide transportation projects into sub-projects that are constrained by construction sequence. The owners? objectives are to minimize the total project cost and duration for the whole multi-project undertaking by selecting the most appropriate project delivery method for each sub-project. The complexity of this problem is the motivation for the development of a multi-objective decision making model that can help owners evaluate and choose the appropriate project delivery method for each sub-project. The model considers three fundamental project delivery methods, i.e., design?bid?build, design?build, and construction manager-as-general contractor. The project cost and duration of each sub-project when selecting different project delivery methods are estimated by experts employed and/or retained by the owner, and regarded as fuzzy variables. Furthermore, a fuzzy simulation-based multiple objective particle swarm optimization algorithm is developed to find feasible Pareto solutions. Results and analysis of a numerical example are presented to highlight the performance of the model. |
| ISBN | 978-0-9960437-0-0 |
