Scheduling : Theory, Algorithms, and Systems

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 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 important scheduling problems that appear in the real world. The accompanying website includes supplementary material in the form of slide-shows from industry as well as movies that show actual implementations of scheduling systems. The main structure of the book, as per previous editions, 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, streamlined, and extended. 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 the Stern School of Business at New York University. Review 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 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 Front Matter....Pages i-xx Introduction....Pages 1-10 Front Matter....Pages 11-11 Deterministic Models: Preliminaries....Pages 13-32 Single Machine Models (Deterministic)....Pages 33-69 Advanced Single Machine Models (Deterministic)....Pages 71-111 Parallel Machine Models (Deterministic)....Pages 113-150 Flow Shops and Flexible Flow Shops (Deterministic)....Pages 151-181 Job Shops (Deterministic)....Pages 183-220 Open Shops (Deterministic)....Pages 221-242 Front Matter....Pages 243-243 Stochastic Models: Preliminaries....Pages 245-263 Single Machine Models (Stochastic)....Pages 265-291 Single Machine Models with Release Dates (Stochastic)....Pages 293-317 Parallel Machine Models (Stochastic)....Pages 319-348 Flow Shops, Job Shops and Open Shops (Stochastic)....Pages 349-372 Front Matter....Pages 373-373 General Purpose Procedures for Deterministic Scheduling....Pages 375-398 More Advanced General Purpose Procedures....Pages 399-429 Modeling and Solving Scheduling Problems in Practice....Pages 431-458 Design and Implementation of Scheduling Systems: Basic Concepts....Pages 459-483 Design and Implementation of Scheduling Systems: More Advanced Concepts....Pages 485-508 Examples of System Designs and Implementations....Pages 509-544 What Lies Ahead?....Pages 545-554 Back Matter....Pages 555-670