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

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Combining Work and Family Life,re used to solve new problems. Case-based reasoning is supported by fuzzy reasoning on a constraint-based representation to find and adapt old cases and to evaluate them. An iterative improvement method is further used to optimize solutions found by case-based reasoning. The approach is illustrated by means of an application in the steel industry.
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Case-based reactive scheduling,re used to solve new problems. Case-based reasoning is supported by fuzzy reasoning on a constraint-based representation to find and adapt old cases and to evaluate them. An iterative improvement method is further used to optimize solutions found by case-based reasoning. The approach is illustrated by means of an application in the steel industry.
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A holistic control architecture infrastructure for dynamic scheduling,ich increases the control flexibility during a schedule generation, specially in the presence of disruptions. The Consortium concept is introduced as a support for improving several types of production flexibility of an enterprise. Finally, some implementation aspects are presented as well as current problems and advantages of HOLOS.
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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 1868-423
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Social Indicators Research Seriesan organisation which has the potential to grow from within, continuously learning and reapplying solutions which have been proven to work in the past. If a repository of informal knowledge is developed, then the valuable experiences of the expert human scheduler are never lost to the system.
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