International Conference on Construction and Real Estate Management 2016
Risk Analysis in the Subcontractor Selection Process for International Construction Projects
Publication: ICCREM 2016: BIM Application and Off-Site Construction
ABSTRACT
Subcontracting is a very common practice in the construction industry. Subcontractors perform the actual production work in most of the construction projects. Selection of subcontractors for the work packages is generally made based on a deterministic manner. However, a real-life construction project is full of risks and uncertainties. The objective of this study is to account and incorporate risks into the subcontractor selection problem by performing Monte-Carlo simulation method in order to make better decisions under uncertainty. This study is mainly based on the findings of a previous study. In the previous study, the selection of subcontractors for all work packages in the studied real-life construction project was made using genetic algorithm technique considering time, cost, and quality performances, and six different optimal subcontractor combinations and their related three deterministic project performances were identified. In this study, risk analysis of these subcontractor combinations is performed and the probabilistic distributions of time, cost, and quality performances are obtained. The probabilistic solutions of optimal subcontractor combinations are used to make a decision in a more realistic way.
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REFERENCES
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Information & Authors
Information
Published In
ICCREM 2016: BIM Application and Off-Site Construction
Pages: 1285 - 1292
Editors: Yaowu Wang, Ph.D., Professor, Harbin Institute of Technology, Mohamed Al-Hussein, Ph.D., Professor, University of Alberta, Geoffrey Q. P. Shen, Ph.D., Professor, The Hong Kong Polytechnic University, and Yimin Zhu, Ph.D., Professor, Louisiana State University
ISBN (Online): 978-0-7844-8027-4
Copyright
© 2017 American Society of Civil Engineers.
History
Published online: Aug 14, 2017
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