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Titlebook: Scheduling; Theory, Algorithms, Michael L. Pinedo Textbook 20165th edition Springer Science+Business Media, LLC 2016 Scheduling.Decision-m

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发表于 2025-3-21 17:47:56 | 显示全部楼层 |阅读模式
书目名称Scheduling
副标题Theory, Algorithms,
编辑Michael L. Pinedo
视频video
概述Discussion of the basic properties of scheduling models.Computational as well as theoretical exercises at the end of each chapter.Thorough examination of numerous applications.establishes the many lin
图书封面Titlebook: Scheduling; Theory, Algorithms,  Michael L. Pinedo Textbook 20165th edition Springer Science+Business Media, LLC 2016 Scheduling.Decision-m
描述.This new edition provides an up-to-date coverage of important theoretical models in the scheduling literature as well as  significant scheduling problems that occur in the real world. It again includes supplementary  material in the form of  slide-shows from industry and movies that show  implementations of scheduling systems..The main structure of the book as per previous edition consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models; in this part it is assumed that processing times  and other problem data are random and not known in advance. The third part deals with scheduling in practice;  it covers heuristics that are popular with practitioners  and discusses system design and implementation issues.   All three parts of this  new edition have been revamped  and streamlined.  The references have been made completely up-to-date. .Theoreticians and practitioners alike will find this book of interest. Graduate students in operations management, operations research, industrial engineering,  and computer science will find the book an accessible and invaluable resource
出版日期Textbook 20165th edition
关键词Scheduling; Decision-making; Deterministic models; Stochastic models; Applications of schedule
版次5
doihttps://doi.org/10.1007/978-3-319-26580-3
isbn_softcover978-3-319-79973-5
isbn_ebook978-3-319-26580-3
copyrightSpringer Science+Business Media, LLC 2016
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书目名称Scheduling读者反馈学科排名




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发表于 2025-3-21 21:42:54 | 显示全部楼层
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.
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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.
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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
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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
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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.
发表于 2025-3-23 08:46:16 | 显示全部楼层
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
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