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Original Articles

Analyzing procurement route selection for electric power plants projects using SMART

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Pages 912-922 | Received 03 Jun 2014, Accepted 16 Sep 2014, Published online: 10 Jul 2015
 

Abstract

The decision of selecting the appropriate procurement/delivery system for large investment construction projects is a critical and challenging task for clients, and therefore a significant factor for the project's success. Complex projects as electric power plants can involve managing multiple contracts or subcontracts simultaneously or in sequence. The aim of this paper is to develop, and analyze a decision support tool to select the most efficient procurement/delivery system for multiple contracts Combined Cycle Power Plants (CCPP) constructed in Egypt and funded by the publicsector. This process involved the identification of various procurement routes, followed by the utilization of quantitative values developed in accordance with the requirements of the multi-criteria decision analysis technique known as simple multi-attribute rating technique (SMART). Results revealed that the procurement/delivery system with the highest score, for all contractual packages, is the integrated project delivery method (IPD) under which other procurement/delivery methods could be utilized such as performance-based contracting (PBC), and construction management (CM). Further in this research, a sensitivity analysis approach was adopted to validate the IPD selection, and to determine the most critical criterion and the most critical measure of performance for each contractual package.

Additional information

Notes on contributors

Mohamed Marzouk

Mohamed MARZOUK. He is a Professor of Construction Engineering and Management at Department of Structural Engineering, Faculty of Engineering, Cairo University. He received his BSc and MSc in Civil Engineering from Cairo University in 1995 and 1997, respectively. He received his PhD form Concordia University in 2002. His research interest includes computer simulation, optimization of construction processes, fuzzy logic and its applications in construction, risk analysis, sustainability, building information modeling, and decision analysis.

Lobna Elmesteckawi

Lobna ELMESTECKAWI. She is a PhD student at Department of Structural Engineering, Faculty of Engineering, Cairo University. She received her BSc in Construction Engineering and Management from the American University in Cairo in 2004. She received her MSc in Structural Engineering from Cairo University in 2008. Her research interest includes construction claims and disputes management, decision making and optimization techniques, procurement management, building information modeling, risk management, and neural networks applications.

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