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CONBPS - an Expert System to Improve the Efficiency of the Construction Process

By Joanna Poon, Keith F. Potts and Peter Musgrove

Abstract

The authors acknowledge the financial assistance of the Royal Institution of Chartered Surveyors (RICS)Education Trust, the Australian Institute of Quantity Surveyors (AIQS) Research Grant and the University of Wolverhampton.The aim of the research outlined in this paper is to develop a best practice process model for building projects based on the use of an expert system. The CONstruction Best Practice System (CONBPS) focusses on projects which are based on the traditional procurement strategy, using the JCT 80 standard form of contract. The model clearly identifies the sequence of construction\ud activities. It also identifies the roles and responsibilities of the major parties on the building team and the issues within the project cycle, which can prove critical to project success. The system incorporates many user-friendly functions, including the provision of multi-choice icons and the provision of an on-line help function. Besides, it also provides interim and final\ud reports which are used to advise the participants on the success factors that they have ignored and to which aspects they should pay more attention.\ud A framework was initially developed focussing on the whole design process with a full knowledge-based system developed for the Inception Stage. CONBPS can be used as a teaching/learning tool to assist teachers and students to better understand the construction process. Also, it could prove useful to project managers and all the participants in the construction process

Topics: CONstruction Best Practice System (CONBPS), CONBPS, Construction industry, Construction procurement, Construction project organisation, Modelling, Expert systems, JCT contracts, Construction planning, Construction management, Knowledge Based Systems (KBS), Decision making tools, Decision Making, Construction contracts
Publisher: RICS (Royal Institute of Chartered Surveyors)
Year: 2003
OAI identifier: oai:wlv.openrepository.com:2436/29489

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