Druck auf Anfrage Neuware - Printed after ordering - This new edition provides an up-to-date coverage of importanttheoretical models inthe scheduling literatureas well as significant scheduling problems that occur in thereal world. It againincludes supplementarymaterial in the form ofslide-shows from industry and movies that showimplementations 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 beenrevamped 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 computerscience will find the book an accessible and invaluable resource.Scheduling - Theory, Algorithms, and Systems willserve as an essential reference for professionals working on scheduling problemsin manufacturing, services, and other environments. Bestandsnummer des Verk�ufers 9783319799735

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Bibliografische Details

Titel: Scheduling : Theory, Algorithms, and Systems

Verlag: Springer International Publishing, Springer International Publishing

Erscheinungsdatum: 2018

Einband: Taschenbuch

Zustand: Neu

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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. Scheduling - Theory, Algorithms, and Systems will serve as an essential reference for professionals working on scheduling problems in manufacturing, services, and other environments.

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