ETHOS
发表于 2025-3-21 17:47:56
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期满
发表于 2025-3-21 21:42:54
Single Machine Models (Deterministic) complicated machine environments. In practice, scheduling problems in more complicated machine environments are often decomposed into subproblems that deal with single machines. For example, a complicated machine environment with a single bottleneck may give rise to a single machine model.
Affable
发表于 2025-3-22 03:16:22
Job Shops (Deterministic)shop has to visit certain machines more than once, the job is said to recirculate. Recirculation is a common phenomenon in the real world. For example, in semiconductor manufacturing jobs have to recirculate several times before they complete all their processing.
挡泥板
发表于 2025-3-22 06:01:50
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胡言乱语
发表于 2025-3-22 10:46:51
Single Machine Models (Deterministic)ingle machine models often have properties that neither machines in parallel nor machines in series have. The results that can be obtained for single machine models not only provide insights into the single machine environment, but they also provide a basis for heuristics that are applicable to more
glacial
发表于 2025-3-22 13:31:19
Parallel Machine Models (Deterministic)it is a generalization of the single machine, and a special case of the flexible flow shop. From a practical point of view, it is important because the occurrence of resources in parallel is common in the real world. Also, techniques for machines in parallel are often used in decomposition procedure
裂口
发表于 2025-3-22 18:41:53
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神化怪物
发表于 2025-3-22 23:38:57
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AXIOM
发表于 2025-3-23 02:07:16
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.
Range-Of-Motion
发表于 2025-3-23 08:46:16
General Purpose Procedures for Deterministic Schedulingted with relative ease in industrial scheduling systems. All the techniques described are heuristics that do not guarantee an . solution; they instead aim at finding reasonably good solutions in a relatively short time. The heuristics tend to be fairly generic and can be adapted easily to a large va