Includes bibliographical references and index.

Print version record and CIP data provided by publisher.

1. Introduction; 2. Single-machine Sequencing; 3. Optimization Methods for the Single-machine Problem; 4. Heuristic Methods for the Single-machine Problem; 5. Earliness and Tardiness Costs; 6. Sequencing for Stochastic Scheduling; 7. Safe Scheduling; 8. Extensions of the Basic Model; 9. Parallel-machine Models; 10. Flow Shop Scheduling; 11. Stochastic Flow Shop Scheduling; 12. Lot Streaming Procedures for the Flow Shop; 13. Scheduling Groups of Jobs; 14. The Job Shop Problem; 15. Simulation Models for the Dynamic Job Shop; 16. Network Methods for Project Scheduling; 17. Resource-Constrained Project Scheduling; 18. Project Analytics; 19. PERT 21: Analytics-Based Safe Project Scheduling.

The second edition of Principles of Sequencing and Scheduling has been revised and updated to provide comprehensive coverage of sequencing and scheduling topics as well as emerging developments in the field. The text offers balanced coverage of deterministic models and stochastic models and includes new developments in safe scheduling and project scheduling, including coverage of project analytics. These new topics help bridge the gap between classical scheduling and actual practice. The authors--noted experts in the field--present a coherent and detailed introduction to the basic models, problems, and methods of scheduling theory.

Written for upper-undergraduate and graduate level courses covering such topics as scheduling theory and applications, project scheduling, and operations scheduling, the second edition of Principles of Sequencing and Scheduling is a resource that covers scheduling techniques and contains the most current research and emerging topics.

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