Scheduling: Theory, Algorithms and Systems - Tapa dura

Pinedo, Michael

 
9780387789347: Scheduling: Theory, Algorithms and Systems

Sinopsis

This book on scheduling covers theoretical models as well as scheduling problems in the real world. The book consists of three parts. The first part focuses on deterministic scheduling with the associated combinatorial problems. The second part covers probabilistic scheduling models. In this part it is assumed that processing times and other problem data are 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 development issues. Each chapter contains a series of computational and theoretical exercises. This book is of interest to theoreticians and practitioners alike. Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource. Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments. Michael Pinedo is the Julius Schlesinger Professor of Operations Management at New York University.

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Críticas

From the reviews of the third edition: "This well-established text covers both the theory and practice of scheduling. ... the text covers a wide range of topics, sometimes adopting a theoretical and at other times a more practical approach. The presentation throughout is clear and elegant with plentiful diagrams to assist the student. The book should be very useful to graduate students, instructors and researchers in the field of scheduling and to the wider operations research community." (Andrew Wirth, Mathematical Reviews, Issue 2009 e)

Reseña del editor

This book on scheduling covers theoretical models as well as scheduling problems in the real world. The book consists of three parts. The first part focuses on deterministic scheduling with the associated combinatorial problems. The second part covers probabilistic scheduling models. In this part it is assumed that processing times and other problem data are 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 development issues. Each chapter contains a series of computational and theoretical exercises. This book is of interest to theoreticians and practitioners alike. Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource. Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments. Michael Pinedo is the Julius Schlesinger Professor of Operations Management at New York University.

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