Titlebook: Artificial Intelligence in Reactive Scheduling; Roger Kerr,Elizabeth Szelke Book 1995 IFIP International Federation for Information Proces

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Knowledge acquisition for reactive scheduling,ing. These results complement previous studies of neural network process models in scheduling production for the glass coating operation (AIRCO) at Pilkington Australia. Integration of our knowledge rich control strategies in the construction of an Expert Adviser for scheduling is now in progress.

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Book 1995t is a collection of papers from theSecond International Workshop of the IFIP Working Group 5.7 whichbrought together researchers from management information systems andknowledge engineering to expand the focus on applying newknowledge-based techniques.

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1868-4238 floors. It is a collection of papers from theSecond International Workshop of the IFIP Working Group 5.7 whichbrought together researchers from management information systems andknowledge engineering to expand the focus on applying newknowledge-based techniques.978-0-387-34928-2Series ISSN 1868-4238 Series E-ISSN 1868-422X

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Directing an opportunist scheduler: an empirical investigation on reactive scenarios,reactive scheduling, it constitutes a knowledge-directed alternative to more search intensive iterative approaches. By adopting a scheduling process that opportunistically focuses attention on the most critical subproblem and carefully selecting the focal point of the next problem solving effort, on

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REAKTION: a system for event independent reactive scheduling,ernal type, e.g. short-term acceptance of a high-priority order or delay of material delivery, or of internal type, e.g. a machine breakdown. After formalizing the general scheduling problem and a reactive scheduling model we will present an algorithm which efficiently “repairs” the violated constra

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Case-based reactive scheduling,al practice however, constraints and optimization criteria can often not be given exactly because they are unknown or vague. Therefore a combinatorial approach often does not meet the actual requirements. Furthermore, the representation of all potential alternatives of the production process would l

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A knowledge-based tool for reactive scheduling,ience or informal knowledge. The foundation for the incorporation of informal knowledge into a decision support tool is the reuse of knowledge within an organisation which has the potential to grow from within, continuously learning and reapplying solutions which have been proven to work in the past