Integrating a novel multiple-objective FBI with BIM to determine tradeoff among resources in project scheduling

• Published in: Knowledge-based systems Vol. 235; p. 107640
• Main Authors: Nguyen, Dang-Trinh, Chou, Jui-Sheng, Tran, Duc-Hoc
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 10.01.2022; Elsevier Science Ltd
• Subjects: Bills of quantities; Building information modeling; Building management systems; Construction management; Decision analysis; Decision making; Forensic-based investigation; Multi-criteria decision-making; Multiple criterion; Multiple objective analysis; Optimization; Project management; Project resource management; Resource management; Resource scheduling; Three dimensional models; Tradeoffs; Building information modeling; Resource management; Forensic-based investigation; Project resource management; Multi-criteria decision-making
• ISSN: 0950-7051; 1872-7409
• DOI: 10.1016/j.knosys.2021.107640

Project managers face a challenge when they must trade-off various resource factors such as time, cost, quality, safety, and the environment. Such challenges increase with the size and complexity of the project. This investigation develops a framework for making tradeoffs among resources in project scheduling that fuses building information modeling (BIM), multi-objective optimization (MOO), and multi-criteria decision-making (MCDM). First, a 3D model is constructed using BIM construction management software. This model generates a bill of quantities to specify required project resources. Then, a novel multiple-objective forensic-based investigation (MOFBI) is introduced to provide the optimal solution set. Finally, a generic evidence-based multi-criteria decision analysis method is used to determine the best schedule for project execution. Three project scheduling problems are presented to demonstrate the efficiency and effectiveness of the proposed framework. The obtained results reveal that MOFBI can find outcome curves with a high uniform distribution of solutions and visual analytics. •This research presents a novel multiple optimization algorithm for solving tradeoff problems.•BIM is used to generate a bill of quantities to calculate project resources as model inputs.•The model performance is demonstrated using real and complicated construction projects.•Comparison reveals that MOFBI provides better solutions than other methods.•Evidential reasoning is used to determine the resource tradeoff solutions.