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.Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
Michael L. Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University.
This new edition of thewell-established text Scheduling:Theory, Algorithms, and Systems provides an up-to-date coverageof important theoretical models in the scheduling literature aswell as important scheduling problems that appear in the realworld. The accompanying website includes supplementary materialin the form of slide-shows from industry as well as movies that show actualimplementations of scheduling systems.
The main structure of the book, as perprevious editions, consists of three parts. The first partfocuses on deterministic scheduling and the related combinatorialproblems. The second part covers probabilistic scheduling models; inthis part it is assumed that processing times and other problem data arerandom and not known in advance. The third part deals withscheduling in practice; it covers heuristics that are popular withpractitioners and discusses system design and implementation issues. All three parts of this new edition havebeen revamped, streamlined, and extended. The references have beenmade completely up-to-date.
Theoreticians and practitionersalike will find this book of interest. Graduate students inoperations management, operations research, industrial engineering, andcomputer science will find the book an accessible and invaluableresource. Scheduling: Theory,Algorithms, and Systems will serve as an essential reference forprofessionals working on scheduling problems inmanufacturing, services, and other environments.
Michael L. Pinedo is the JuliusSchlesinger Professor of Operations Management in the Stern School of Businessat New York University.
"This well-established text covers both thetheory and practice of scheduling. The book begins with motivating examples andthe penultimate chapter discusses some commercial scheduling systems andexamples of their implementations." (Mathematical Reviews, 2009)
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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Taschenbuch. Zustand: Neu. 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. Artikel-Nr. 9783319799735
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