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Dynamic scheduling: State of the art reportby: W. Kocjan
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AbstractMost of the research literature concerning scheduling concentrates on the static problems, i.e. problems where all input data is known and does not vary over the time. However, the real world scheduling problems are very seldom static. Events like machine failures or work overloads are, in some situations, impossible to predict.
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