Scheduling (4^th Ed., 4th ed. 2012) Theory, Algorithms, and Systems

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)

Preface.- Supplementary Electronic Material.- Introduction.- Deterministic Models: Preliminaries.- Single Machine Models (Deterministic).- Advanced Single Machine Models (Deterministic).- Parallel Machine Models (Deterministic).- Flow Shops and Flexible Flow Shops (Deterministic).- Job Shops (Deterministic.- Open Shops (Deterministic).- Stochastic Models: Preliminaries.- Single Machine Models (Stochastic).- Single Machine Models with Release Dates (Stochastic).- Parallel Machine Models (Stochastic).- Flow Shops, Job Shops and Open Shops (Stochastic).- General Purpose Procedures for Deterministic Scheduling.- More Advanced General Purpose Procedures.- Modeling and Solving Scheduling Problems in Practice.- Design and Implementation of Scheduling Systems: Basic Concepts.- Design and Implementation of Scheduling Systems: More Advanced Concepts.- Examples of System Designs and Implementations.- What Lies Ahead?.- Appendices.- References.

Michael Pinedo is a Julius Schlesinger Professor of Operations Management at New York University. 

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