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.

Analyzing Hot-Mix Asphalt and Portland Cement Concrete Highway Construction Using Probabilistic Optimization for Profit

“…This initial Prob.O.Prof. software program included PWL as a quality measure and also considered the effect of the composite pay equation (1). The procedure of Vidalis et al served two functions: contractors could use it to set their quality targets for construction, and highway agencies could use it to validate their acceptance sampling plans.…”