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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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期刊全称Artificial Intelligence in Reactive Scheduling
影响因子2023Roger Kerr,Elizabeth Szelke
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学科分类IFIP Advances in Information and Communication Technology
图书封面Titlebook: Artificial Intelligence in Reactive Scheduling;  Roger Kerr,Elizabeth Szelke Book 1995 IFIP International Federation for Information Proces
影响因子This volume encompasses state-of-the-art developments inAI-based reactive scheduling for real-time operation management inmanufacturing shop 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.
Pindex Book 1995
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Social Indicators Research Seriesing. 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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Fathers, Caregiving and Social ChangeThis paper introduces the notion of .. We will show how this new concept is supported by using techniques from Distributed Artificial Intelligence (DAI).
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From reactive to active scheduling by using multi-agents,This paper introduces the notion of .. We will show how this new concept is supported by using techniques from Distributed Artificial Intelligence (DAI).
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Online-algorithms for reactive vehicle scheduling,We investigate the question if online-algorithms can he used in a framework for knowledge-based reactive vehicle scheduling. Appropriate models are presented and corresponding research issues are discussed.
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Social Indicators Research Seriesernal 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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