A knowledge-based system for identifying potential project risks

This paper presents an integrated knowledge-based system (KBS) that assists project managers in identifying potential risk factors and the corresponding project risks. The knowledge acquired from previous experience is captured by the proposed project risk identification model which incorporates the work breakdown structure (WBS). The knowledge is then translated into rules for the KBS. A prototype was developed based on the proposed KBS to determine potential risk factors along with their risk effects and the related work packages for an extra high-voltage (EHV) transmission line construction project. The results obtained clearly demonstrate the feasibility and the applicability of this system in a real engineering project environment.

© 1998 Elsevier Science Ltd.