'Just in time' information for performance based systems

One of the major problems in implementing performance contracting is the identification of selection performance criteria and the enormity of the amount of performance information required to guarantee performance. Every construction project has unique requirements. To have an efficient information system, the amount of information required to minimize risk makes a performance contracting process seen uneconomical in terms of cost and time. This research proposes that a “Just-in-time” approach to information that has been very successful in the manufacturing supply chain area can be used in construction performance based contracting. In conjunction with the concepts of information measurement theory (IMT), where the information system minimizes the amount of data, where the data is refined instead of the processor, and where decisions are minimized and used to delegate responsibility, the “just in time” concept would minimize the need for complex modeling, excessive information gathering, and decision making and minimum standards. The research uses the results of over 300 tests of the Performance Information Procurement System (PIPS) to support the theoretical hypothesis of “Just-in-time” Information. The research proposes that the concepts of performance information may be more effective than complex modeling and extensive database systems in minimizing risk and producing performing construction.