The development of a knowledge based system for predicting strategic building maintenance

Describes the development of a knowledge-based system (KBS) for predicting strategic maintenance in residential property. An initial feasibility study identified a need for the long-term strategic planning of building maintenance in housing associations. However, conventional maintenance management programs require too much data input, are too inflexible. and do not permit their users to explore potential alternatives. The application of KBS technology to this area directly addresses these problems. This paper examines the need for such systems, and describes the implementation of one such system using a client centred approach to the development of KBSs. The paper concludes by discussing some of the problems that were encountered during the system's development, how they were overcome, and what lessons may be learned for future system developments.<>