El Asmar, M (2012) Modeling and benchmarking performance for the integrated project delivery (IPD) system. PhD thesis, University of Wisconsin - Madison, USA.
Abstract
Integrated Project Delivery (IPD) is an emerging construction project delivery system that collaboratively involves key participants very early in the project timeline, often before the design is started. It is distinguished by a multiparty contractual agreement that typically allows risks and rewards to be shared among project stakeholders. As IPD is becoming increasingly popular, various organizations are expressing interest in its benefits to the AEC industry. However, no research studies have shown statistically significant performance differences between IPD and more established delivery systems. This study fills that missing gap by evaluating the performance of IPD projects compared to projects delivered using the more traditional design-bid-build, design-build, and construction management at-risk systems, and showing statistically significant improvements for IPD. Project delivery performance literature was analyzed to identify key variables, which were classified in three domains that reflect the social, organizational, and functional aspects of project delivery. A data-collection survey was developed and used in detailed interviews to gather quantitative delivery and performance data from the industry. Univariate and multivariate data analyses were performed, leading to the development of benchmarks and models of IPD project performance. An overall project performance model, the Project Quarterback Rating, also was developed and used to evaluate IPD performance. Results indicate that IPD achieves statistically significant improvements in 14 metrics across six performance areas: building quality, project schedule, project changes, communication among stakeholders, recycling and financial performance. One major interpretation of the results is that IPD provides higher quality facilities at no significant cost premium. The findings provide a comprehensive understanding of IPD performance by specifically identifying metrics that are enhanced by this emerging delivery system. Furthermore, the results highlight individual delivery characteristics that the industry can use to improve its performance. These characteristics include contractual incentives, use of Building Information Modeling processes, avoiding lump sum compensation, and perhaps most interestingly, social factors like the unconventional participation of stakeholders along the project timeline. Although some of these delivery characteristics are typically associated with IPD, the AEC industry can apply most of these characteristics with other delivery systems to improve performance in both private and public sector projects.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Thesis advisor: | Hanna, A S |
| Uncontrolled Keywords: | construction project; benchmarking; building information model; building information modeling; communication; integrated project delivery; participation; project delivery; public sector; recycling; project stakeholder; project performance; interview |
| Index terms: | recycling, design-bid-build, social factor, public sector, building information modelling, becoming, compensation, modelling, project delivery, project performance, integrated project delivery, survey, performance areas, construction project delivery, interview, data analysis, benchmarking, financial performance, construction project, project stakeholder |
| Subjects: | philosophical process, business analysis, production management, operations management, contractual arrangements, analytical methods, waste management, project controls, sociology, administrative law, information systems, performance measurement, project management theory and practice, data analysis and analytics, project delivery, data collection methods, dispute resolution |
| Topics: | Legal Issues, Quality Management, Procurement, Sustainability, Project Management, Engineering Principles, Time Control, Digital Applications, Stakeholder Management, Business Strategy, Research Practice |
| Descriptive scope: | 4 PCEA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here