Evaluating Integrated Project Delivery Using the Project Quarterback Rating
Publication: Journal of Construction Engineering and Management
Volume 142, Issue 1
Abstract
This paper presents the development, validation, and implementation of an innovative comprehensive project performance metric specifically developed for architecture, engineering, and construction (AEC) projects. The project quarterback rating (PQR) combines key performance metrics of a project into a single number to provide a basis for quantifying project success. The combined performance areas include customer relations, schedule and budget compliance, quality and safety statistics, financial metrics, and communication among the different project stakeholders. The existing literature is analyzed to identify key performance metrics. A data-collection instrument is developed and then used to gather quantitative performance data from recently completed projects. Data are collected from industry professionals across the United States, and multivariate data analysis techniques are used to validate the model. PQR can compare the overall performance for different AEC projects, in addition to the performance of various project delivery systems. In this paper, PQR scores are calculated for projects completed under different delivery systems. The results clearly show differences in performance for projects delivered with design-bid-build (DBB), construction management at risk (CMR), design-build (DB), and integrated project delivery (IPD). This paper offers three major contributions to the construction engineering and management literature: (1) it presents the development and validation of the comprehensive performance model; (2) it provides the first comparison of project delivery systems through a single comprehensive metric; and (3) it offers an evaluation of the emerging IPD system, demonstrating superior overall performance when compared with other delivery systems.
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Acknowledgments
The authors would like to thank all the industry supporters who provided endless hours of their time during the data-collection effort of this study. The authors also wish to acknowledge the support and funding provided by the Construction and Materials Support Center (CMSC) in the preparation of this study. Dr. Loh’s work was partially supported by U.S. Army Research Office Grant W911NF-09-1-0205.
References
Bartholomew, D., and Knott, M. (1999). Latent variable models and factor analysis, 2nd Ed., Edward Arnold, London.
Bennett, J., Pothecary, E., and Robinson, G. (1996). “Designing and building a world-class industry: The university of reading design and build forum report.” Centre for Strategic Studies in Construction, Univ. of Reading, Reading, U.K.
Chan, A. P., and Chan, A. P. (2004). “Key performance indicators for measuring construction success.” Benchmarking Int. J., 11(2), 203–221.
Chan, A. P. C., Scott, D., and Lam, E. W. M. (2002). “Framework of success criteria for design/build projects.” J. Manage. Eng., 120–128.
Cox, T. F. (2005). An introduction to multivariate data analysis, Hodder Arnold, London.
Cox, T. F., and Cox, M. A. A. (2000). Multidimensional scaling, 2nd Ed., Chapman & Hall/CRC, Boca Raton, FL.
CSU (California State University) Fresno. (2012). “Sports marketing option.” 〈http://www.craig.csufresno.edu/departments/mrkt/Sports-mktg-snapshot.asp〉 (Jul. 11, 2012).
El Asmar, M., Hanna, A. S., and Loh, W. (2013). “Quantifying performance for the integrated project delivery (IPD) system as compared to established delivery systems.” J. Constr. Eng. Manage., 04013012.
Ibbs, C. W., Kwak, Y. H., Ng, T., and Odabasi, A. M. (2003). “Project delivery systems and project change: Quantitative analysis.” J. Constr. Eng. Manage., 382–387.
Konchar, M., and Sanvido, V. (1998). “Comparison of U.S. project delivery systems.” J. Constr. Eng. Manage., 435–444.
Menches, C. L., and Hanna, A. S. (2006). “Quantitative measurement of successful performance from the project manager’s perspective.” J. Constr. Eng. Manage., 1284–1293.
Molenaar, K. R. (1995). “Appropriate project characteristics for public sector design-build projects.” M.S. thesis, Univ. of Colorado, Boulder, CO.
Molenaar, K. R., and Navarro, D. (2011). “Toward use of key performance indicators in highway design and construction.” 90th Annual Meeting Transportation Research Board, Washington, DC.
Molenaar, K. R., Songer, A. D., and Barash, M. (1999). “Public-sector design/build evolution and performance.” J. Constr. Eng. Manage., 54–62.
National Football League. (2012). “NFL quarterback rating formula.” 〈http://www.nfl.com/help/quarterbackratingformula〉 (Jan. 19, 2012).
Neft, D. S., Cohen, R. M., and Korch, R. (1994). The football encyclopedia: The complete history of professional football, from 1892 to the present, St. Martin’s Press, London.
Pocock, J. B., Hyun, C. T., Liu, L. Y., and Kim, M. K. (1996). “Relationship between project interaction and performance indicators.” J. Constr. Eng. Manage., 165–176.
Radujkovic, M., Vukomanovic, M., and Burcar Dunovic, I. (2010). “Application of key performance indicators in south-eastern European construction.” J. Civ. Eng. Manage., 16(4), 521–530.
Rankin, J., Fayek, A. R., Meade, G., Haas, C., and Manseau, A. (2008). “Initial metrics and pilot program results for measuring the performance of the Canadian construction industry.” Can. J. Civ. Eng., 35(9), 894–907.
Songer, A. D., and Molenaar, K. R. (1996). “Selecting design-build: Public and private sector owner attitudes.” J. Constr. Eng. Manage., 47–53.
Information & Authors
Information
Published In
Journal of Construction Engineering and Management
Volume 142 • Issue 1 • January 2016
Copyright
© 2015 American Society of Civil Engineers.
History
Received: Sep 6, 2014
Accepted: Apr 6, 2015
Published online: Jun 23, 2015
Discussion open until: Nov 23, 2015
Published in print: Jan 1, 2016
Authors
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