Titlebook: Scheduling; Theory, Algorithms, Michael L. Pinedo Textbook 2022Latest edition The Editor(s) (if applicable) and The Author(s), under exclu

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General Purpose Procedures for Deterministic SchedulingThis chapter describes a number of general purpose procedures that are useful in dealing with scheduling problems in practice and that can be implemented with relative ease in industrial scheduling systems.

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Modeling and Solving Scheduling Problems in PracticeIn Parts I and II a number of stylized and (supposedly) elegant mathematical models are discussed in detail. The deterministic models have led to a number of simple priority rules as well as to many algorithmic techniques and heuristic procedures.

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Michael L. PinedoDiscusses the basic properties of scheduling models.Provides exercises at the end of each chapter with solutions manual available to instructors.Includes supplementary material

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Stochastic Models: Preliminariest include machine breakdowns and unexpected releases of high priority jobs. Another source of uncertainty lies in the processing times, which are often not precisely known in advance. A good model for a scheduling problem should address these forms of uncertainty.