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Title: Analyzing Hot-Mix Asphalt and Portland Cement Concrete Highway Construction Using Probabilistic Optimization for Profit
Accession Number: 01122015
Record Type: Component
Record URL: Availability: Transportation Research Board Business Office 500 Fifth Street, NW Find a library where document is available Abstract: Contractors constantly have to make decisions about maximizing profits while considering risks associated with choosing construction target levels for various acceptance quality characteristics (AQCs). With more and more states adopting incentive–disincentive pay adjustment provisions for quality as measured by various AQCs, a contractor likely has to evaluate several options before selecting an optimum target quality that will maximize profit at an acceptable level of risk. The greater the number of AQCs, the more complex the assessment that the contractor is required to perform and the less intuition and experience can be relied on. The updated Probabilistic Optimization for Profit (Prob.O.Prof. 2.0) is a computer program used as a probabilistic-based tool designed to assist portland cement concrete and hot-mix asphalt paving contractors in evaluating statistical quality assurance specifications. In addition, it assists the highway agencies in evaluating the appropriateness of their specifications and ensuring that they have no undesirable consequences. This procedure allows the agency to adjust pay factors accordingly while developing specifications. The Prob.O.Prof. 2.0 program is discussed, and examples of its use are provided.
Monograph Title: Monograph Accession #: 01138792
Report/Paper Numbers: 09-3716
Language: English
Authors: Rao, ShreenathVidalis, Sofia MSmith, Kelly LKopac, Peter APagination: pp 63-72
Publication Date: 2009
ISBN: 9780309126144
Media Type: Print
Features: Figures
(5)
; References
(5)
; Tables
(7)
TRT Terms: Uncontrolled Terms: Subject Areas: Construction; Highways; Pavements; I52: Construction of Pavements and Surfacings
Files: TRIS, TRB, ATRI
Created Date: Jan 30 2009 8:08PM
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