Testing of Minimization of Subjectivity in Best Value Procurement by Using Artificial Intelligence Systems in State of Utah Procurement
Publication: Journal of Construction Engineering and Management
Volume 128, Issue 6
Abstract
The Performance Information Procurement System (PIPS) was tested on the procurement of the $2.96 million Bridgerland Academic Training Center (ATC) for the state of Utah Division of Facilities Construction Management. The artificial intelligence (AI) information based PIPS was run two ways—selection with biased subjectivity (similar to current best value processes) and without biased subjectivity. Unlike other best value processes, PIPS minimizes the decision-making and subjective bias of the owner’s representatives. The procurement test at Bridgerland ATC provides a comparison between the AI selection versus the user agency’s subjective prioritization. The result of the system was one of the “best” construction projects procured at the state of Utah (on time, on budget, high quality), with no contractor generated change orders for additional cost, minimized construction management requirements, and high customer satisfaction.
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References
Kashiwagi, D. T.(2001). “State of Hawaii selects ‘best value’ by artificial intelligence.” J. Cost Eng., 43(4), 38–44.
Kashiwagi, D. T.(2002). “Information measurement theory (IMT).” Encyclopedia of information systems,2, 599–610.
Kundsen, L. (2000). “Program director letter close out report to PBSRG on Bridgerland ATC.” Rep. prepared for PBSRG.
Maughan, R. L. (2000). “Bridgerland Applied Technology Center letter.” Rep. prepared for Division of Facilities Construction and Management, state of Utah.
Zeleny, M. (1984). Multiple criteria decision making, McGraw-Hill, New York.
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Published In
Journal of Construction Engineering and Management
Volume 128 • Issue 6 • December 2002
Pages: 496 - 502
Copyright
Copyright © 2002 American Society of Civil Engineers.
History
Received: May 25, 2001
Accepted: Dec 4, 2001
Published online: Nov 15, 2002
Published in print: Dec 2002
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