Project Delivery System Selection under Uncertainty: Multicriteria Multilevel Decision Aid Model
Publication: Journal of Management in Engineering
Volume 23, Issue 4
Abstract
Selecting an optimal project delivery system is a critical task that owners should do to ensure project success. This selection is a complex decision-making process. The complexity arises from the uncertain or not well-defined parameters and/or the multiple criteria structure of such decisions. In this study, a decision aid model using the analytical hierarchy process (AHP) coupled with rough approximation concepts is developed to assist the owners. The selection criteria are determined by studying a number of benchmarks. The model ranks the alternative delivery systems by considering both benchmark results and owner’s opinion. In interval AHP, an optimization procedure is performed via obtaining the upper and the lower linear programming models to determine the interval priorities for alternative project delivery systems. In cases having incomparable alternatives, which is the most likely case in uncertain decision making, the model uses rough set-based measures to reduce the number of decision criteria to a subset, which is able to fully rank the alternatives. To illustrate the applicability and usefulness of this methodology, a real world case study will be demonstrated.
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Acknowledgments
The writers are very thankful to Mr. Dave Button, director of the physical plant at the University of Regina, for his collaborations and helpful suggestions. We are also very thankful to anonymous reviewers for their very insightful comments and suggestions, which were very helpful in improving the manuscript.
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Information & Authors
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Published In
Journal of Management in Engineering
Volume 23 • Issue 4 • October 2007
Pages: 200 - 206
Copyright
© 2007 ASCE.
History
Received: Dec 21, 2005
Accepted: Dec 28, 2006
Published online: Oct 1, 2007
Published in print: Oct 2007
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