Chapter
Nov 9, 2020
Construction Research Congress 2020

Project Validation—Informing Client’s Approval Decision and Enhancing Project Performance

Publication: Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts

ABSTRACT

Despite past and present research on planning and delivery methods, the construction industry is still characterized by endemic cost and schedule overruns that are often accompanied by disclosures of actual performance late in the project delivery. As a response to such major shortcoming, this study investigated the novel and undocumented practice of validation. The purpose of project validation is to prove or disprove whether the project team can successfully deliver a project that satisfies the owner’s business case and scope within the constraints of cost and schedule. In order to document validation, this study leveraged a multiple case study analysis of remarkable project validation efforts. Data were collected through open-ended phone interviews with eight subject matter experts. Each expert was requested to share validation aspects such as information inputs and outputs, team and culture, steps, or approval solicitation. The interviews were complemented with the authors’ first-hand observations at validation sessions. Qualitative analysis of the collected data enabled the detail of the benefits, nuances, and steps for a successful validation effort. Validation is executed within a short duration, limited budget, and little or no design. Validation culminates in an informed decision by the owner on whether to authorize (go) or not to authorize (no-go) the project. When the project is authorized, the owner and the team contractually agree to the project based on the shared commitment that the success criterion can be met. Alternatively, a no-go decision enables the owner to allocate the project funds into alternative investments that can meet the owner’s objectives and provide the expected rate of return.

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REFERENCES

Ballard, G. (2008). "The lean project delivery system: an update." Lean Construction Journal: 1-19.
Bosfield, R. P. (2012). Front End Planning in the Modern Construction Industry. Masters, Arizona State University.
Edkins, A., J. Geraldi, P. Morris and A. Smith (2013). "Exploring the front end of project management." The Engineering Project Organization Journal 3(2): 71-85.
Egan, J. (1998). Rethinking construcion. London, UK, Construction Task Force.
EIA, U. S. E. I. A. (1986). An Analysis of Nuclear Power Plant Construction Costs. Washington, DC, Office of Coal, Nuclear, Electric and Alternate Fuels, U.S. Department of Energy DOE/EIA-0485.
Flyvbjerg, B. (2006). "From Nobel Prize to Project Management: Getting Risks Right." Project Management Journal 37(3): 5-15.
Flyvbjerg, B., N. Bruzelius and W. Rothengatter (2003). Megaprojects and Risk: An Anatomy of Ambition. United Kingdom, Cambridge University Press.
Flyvbjerg, B., S. Holmm and S. Buhl (2002). "Underestimating costs in public works projects Error or lie?" Journal of American Planning Association 68(3): 279-296.
Grau, D., Cruz-Rios, F., and Sherman, R. (2019). Project Validation – A Guide to Improving Owner Value and Team Performance. Version 1.0. School of Sustainable Engineering and The Built Environment, Ira A. Fulton Schools of Engineering, Arizona State University, Tempe, AZ, USA. Available at: https://grau.engineering.asu.edu/validation-guide/
Gibson, E., E. Bingham and C. R. Stogner (2010). Front end planning for infrastructure projects. ASCE Construction Research Congress.
Gibson, E., Y.-R. Wang, C.-S. Cho and M. Pappas (2006). "What is Preproject Planning Anyway?." Journal of Construction Engineering and Management 22(1): 35-42.
Grau, D., E. Back, A. Abbaszadegan and R. Sirven (2014). The predictability Index-a novel project performance metric to assess the early prediciton of cost and time outcomes. Construction Research Congress 2014, Reston, VA.
Grau, D., E. Back and G. M. Aguilar (2013). Four casting for early and accurate predictability. Implementation Resource 291-2. University of Texas at Austin, Austin TX, Construction Industry Institute.
Grau, D. and W. Back (2015). "The predictability index: Novel metric to assess cost and schedule performance." Journal of Construction Engineering and Management 141(12).
Griffith, A., G. E. Gibson, M. Hamilton, A. Tortora and C. Wilson (1999). "Project Success Index for Capital Facility Construction Projects." Journal of Performance Constructed Facilities 13(1): 39-45.
Kennedy, B. (2013). "Reducing Rework by Applying Set-Based Practices Early in the Systems Engineering Process." Systems Engineering 17(3): 278-296.
Kim, B. and K. Reinschmidt (2011). "Combination of project cost forecasts in earned value management." Journal of Construction Engineering and Management 137(11): 958-966.
Kim, Y. W. and C. S. Dossick (2011). "What makes the delivery of a project integrated? a case study of Children’s Hospital Bellvue, WA." Lean Construction Journal: 53-66.
Latham, M. (1994). Constructing the Team, Final Report of the Joint Review of Procurement and Contractual Arrangements in the United Kingdom Construction Industry. London, UK, HMSO.
Lichtig, W. A. (2006). "The integrated agreement for lean project delivery." Construction Lawyer 26(3): 1-8.
Mitropoulos, P. and C. Tatum (2000). "Management Driven integration." Journal of Management Engineering 16(1): 48-58.
NRC (2003). Completing the “Big Dig”: Managing the Final Stages of Boston’s Central Artery/Tunnel Project. Washington, DC, Board on Infrastructure and the Constructed Environment.
Oberlender, G. and S. Trost (2001). "Predicting Accuracy of Early Cost Estimates Based on Estimate Quality." Journal of Construction Engineering and Management 127(3): 173-182.
Redburn, T. (March 16, 1982). Diablo Nuclear Plant: How PG&E ‘Shot Itself in the Foot’. Los Angeles Times.
Williams, T. and K. Samset (2010). "Issues in front end decision making on projects." Project Management Journal 41(2): 38-49.
Yin, R. K. (2009). Case study research: design and methods Los Angeles, California, Sage Publications.
Zimina, D., G. Ballard and C. Pasquire (2012). "Target value design: Using collaboration and a lean approach to reduce construciton cost." Journal of Construction Management and Economics 30(5): 383-398.

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Published In

Go to Construction Research Congress 2020
Construction Research Congress 2020: Project Management and Controls, Materials, and Contracts
Pages: 153 - 159
Editors: David Grau, Ph.D., Arizona State University, Pingbo Tang, Ph.D., Arizona State University, and Mounir El Asmar, Ph.D., Arizona State University
ISBN (Online): 978-0-7844-8288-9

History

Published online: Nov 9, 2020
Published in print: Nov 9, 2020

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Authors

Affiliations

Associate Professor, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ. E-mail: [email protected]
Rachael Sherman [email protected]
Graduate Student, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ. E-mail: [email protected]
Fernanda Cruz-Rios [email protected]
Postdoctoral Researcher, School of Sustainable Engineering and the Built Environment, Arizona State Univ., Tempe, AZ. E-mail: [email protected]

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