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All industrial plants require an extensive set of operating procedures. This paper discusses the use of hierarchical nonlinear leastcommitment AI planning technology to generate plant operating procedures for chemical process plant. It considers the handling of flow through the interfacing of a valve sequencing subplanner, the handling of safety through the mechanism of goals of prevention, and the use of pairs as a way of mutually constraining planning variables and increasing planning efficiency. It concludes with some results and discussion of the advantages of the approach. #

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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.

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