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This paper examines the business process of reactive maintenance projects and proposes an improvement through information technology. Among the major problems that have been revealed from the process analysis are getting the right problem for the right contractor, double handling of data entry and transferring information. These are due to lack of knowledge sharing and poor communication between different parties. Based on these problems, several requirements are laid out and they are used as a basis to develop a prototype system named MoPMIT (More Productive Minor Construction through IT). The main aim of the system is to explore the use of Web‐based technology to improve the managing of reactive maintenance projects. The system architecture and functional requirement of the MoPMIT system are well explained in this paper.

Operating procedure synthesis (OPS) has been used to generate plant operating procedures for chemical plants. However, the application of AI planning to this domain has been rarely considered, and when it has the scope of the system used has limited it to solving “toy” problems. This paper describes the application of state‐of‐the‐art AI planning techniques to the generation of operating procedures for chemical plant as part of the INT‐OP project at the Universities of Salford and Loughborough. The CEP planner is outlined and its application to a double effect evaporator test rig is discussed in detail. Particular attention is paid to the issues involved in domain modelling, requiring the description of the domain, development of AI planning operators, the definition of safety restrictions, and the definition of the problem. There is then a presentation of the results, lessons learned and problems still remaining.