Scheduling

Beschreibung

 This new edition of the well established  text   Scheduling - Theory,  Algorithms, and Systems  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.  Michael L. Pinedo is the Julius Schlesinger Professor of Operations Management  in theStern School of Business at New York University.  Reviews of third edition:This well-established text covers both the theory and practice of scheduling. he book begins with motivating examples and the penultimate chapterReviews of third edition:This well-established text covers both the theory and practice of scheduling. The book begins with motivating examples and the penultimate chapter discusses some commercial scheduling systems and examples of their implementations." (Mathematical Reviews, 2009)
This new edition of the well established text Scheduling - Theory, Algorithms, and Systems 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. Reviews of third edition: This well-established text covers both the theory and practice of scheduling. The book begins with motivating examples and the penultimate chapter discusses some commercial scheduling systems and examples of their implementations." (Mathematical Reviews, 2009)
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 Investigation of the latest developments in the field Discussion of future research developments Covers deterministic models as well as stochastic models Covers theoretical models as well as practical applications Includes supplementary material: sn.pub/extras

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Michael L. Pinedo

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