| 书目名称 | Scheduling | | 副标题 | Theory, Algorithms, | | 编辑 | Michael L. Pinedo | | 视频video | | | 概述 | Discusses the basic properties of scheduling models.Provides exercises at the end of each chapter with solutions manual available to instructors.Includes supplementary material | | 图书封面 |  | | 描述 | .The sixth edition provides expanded Discussion and Comments and References sections at the end of each chapter, creating a spotlight on practical applications of the theory presented in that chapter. New topics include rules for stochastic parallel machine scheduling and for stochastic online scheduling, models of flow shops with reentry, fixed parameter tractability, and new designs and 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 and the references have been made up-to-date. .Theoreticians and practitioners alike will find this book of interest. Graduate students in operations management, operations research, industria | | 出版日期 | Textbook 2022Latest edition | | 关键词 | Applied Optimization; Mathematical Programming; Complexity Theory; Stochastic Modeling; Decision Support | | 版次 | 6 | | doi | https://doi.org/10.1007/978-3-031-05921-6 | | isbn_softcover | 978-3-031-05923-0 | | isbn_ebook | 978-3-031-05921-6 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 17:46:22
