Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Risk Analysis in the Subcontractor Selection Process for International Construction Projects
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.
Risk Analysis in the Subcontractor Selection Process for International Construction Projects
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.
Risk Analysis in the Subcontractor Selection Process for International Construction Projects
Bingol, Befrin Neval (Autor:in) / Polat, Gul (Autor:in)
International Conference on Construction and Real Estate Management 2016 ; 2016 ; Edmonton, Canada
ICCREM 2016 ; 1285-1292
14.08.2017
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Subcontractor selection practices in international construction projects
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Subcontractor selection practices in international construction projects
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Subcontractor selection practices in international construction projects
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| BASE | 2016