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Expert systems for construction planning and scheduling - An integrated approach

Moselhi, O. / Nicholas, M.J.

This paper presents an integrated software approach to the development of a computerized knowledge based system for construction planning and scheduling. The system, ESCHEDULER embraces hybrid methodology to make use of and to build on available experimential knowledge in construction planning, and to enhance currently available project management software and other computing algorithms. It integrates through an expert system building tool (ESBT), relational databases, knowledge bases and their control functions, a traditional network analysis software and two interfacing programs written in Fortran language. The main program is written in the language provided by the ESBT, and DOS batch commands control the process of consultation and integration. This prototype system uses a micro-computer based hybrid artificial intelligence (AI) environment and has some interesting features: the determination of job logic for the activities entered through an end-user interface and a set of stand alone nested expert system modules to modify activity duration with respect to different site conditions. At the end of the consultation, ESCHEDULER prepares a realistic 'as possible' schedule. An example application is presented to illustrate the essential features of ESCHEDULER. The system can successfully be applied to other domains in construction management and its modular architecture allows further enhancement and expansion.