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Research article
First published January 2006

Probabilistic Procedure for Analyzing Construction Pay Adjustment Systems

Abstract

Statistical quality assurance specifications containing pay adjustment provisions for quality let the contractor decide what levels of quality to target during construction. A procedure and accompanying computer program have been developed to address the optimization of target quality levels. This dual-purpose procedure will help contractors intelligently set target quality levels and help highway agencies validate their quality assurance specifications and pay adjustment provisions. By using the proposed procedure, a contractor can answer the question, “What target quality levels will lead to maximum profit in my specific situation?” The informal procedure contractors currently use does not consider probability and risk. Also, by following the same proposed procedure by using its own data, an agency can answer the question, “What quality levels are the specifications forcing our contractors to deliver?” This important question must be properly answered for the agency to determine the impact of its pay adjustment provisions on contractors. An exercise is presented to compare the current and proposed procedures. The two procedures may identify different optimal target values, leading to sizeable differences in a contractor's profit.

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References

1. Quality Assurance Guide Specification. AASHTO, Washington, D.C., 1996.
2. Transportation Research Circular E-C074: Glossary of Highway Quality Assurance Terms. Transportation Research Board of the National Academies, Washington, D.C., 2005.
3. Vidalis S. M. Relation Between Cost, Quality, and Risk in Portland Cement Concrete Pavement Construction. Ph.D. thesis. University of Florida, Gainesville, 2005.
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7. Hoerner T. E. Darter M. I. Khazanovich L. Titus-Glover L. and Smith K. L. Improved Prediction Models for PCC Pavement Performance-Related Specifications, Volume I: Final Report. FHWA-RD-00-130. FHWA, U.S. Department of Transportation, 2000.

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Article first published: January 2006
Issue published: January 2006

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© 2006 National Academy of Sciences.
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Authors

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Sofia M. Vidalis
Department of Civil and Coastal Engineering, University of Florida, 345 Weil Hall, Gainesville, FL 32611-6580
Peter A. Kopac
FHWA, 6300 Georgetown Pike, McLean, VA 22101
Fazil T. Najafi
Department of Civil and Coastal Engineering, University of Florida, 345 Weil Hall, Gainesville, FL 32611-6580

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