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.