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

小鹿

Combining Work and Family Life,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

虚构的东西

Combining Work and Family Life, and responsive approaches to problems of shop floor decision making, including reactive scheduling. Timely reaction to emerging shop-floor contingencies and performance deterioration trends in executed processes, both problems are addressed by the proposed supervisory control system, SUPREACT, and

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osculate

Social Indicators Research Seriesn unbalanced telephone production line in a simulated environment. The simulation model is used to accelerate human training, to log the scheduling decisions of a so trained human expert, and to form the basis for the generation of machine learned decision rules which replicate the human’s ability t

Memorial

Social Indicators Research Seriesdiscusses the distinction in the case of manufacturing scheduling. Given a set of jobs, an ordered set of production steps for each job, and a set of machines to perform these production steps, the predictive scheduling problems consists in determining an appropriate allocation of production steps t

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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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https://doi.org/10.1007/978-0-387-34928-2Manufacturing; algorithms; artificial intelligence; information system; intelligence; knowledge engineeri

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