Scheduling

Theory, Algorithms, and Systems

Michael L. Pinedo

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English

Springer International Publishing AG
31 March 2018

Cybernetics & systems theory; Operational research; Probability & statistics; Stochastics; Production engineering

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.

By: Michael L. Pinedo
Imprint: Springer International Publishing AG
Country of Publication: Switzerland
Edition: Softcover reprint of the original 5th ed. 2016
Dimensions: Height: 235mm, Width: 155mm, Spine: 35mm
Weight: 1.044kg
ISBN: 9783319799735
ISBN 10: 3319799738
Pages: 670
Publication Date: 31 March 2018
Audience: Professional and scholarly , Undergraduate
Format: Paperback
Publisher's Status: Active

Preface.- Supplementary Electronic Material.- Introduction.- Part I: Deterministic Models.- Deterministic Models: Preliminaries.- Single Machine Models (Deterministic).- Advanced Single Machine Models (Deterministic).- Parallel Machines Models (Deterministic).- Flow Shops and Flexible Flow Shops (Deterministic).- Job Shops (Deterministic).- Open Shops (Deterministic).- Part II Stochastic Models.- 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).- Part III Scheduling in Practice.- 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.

Michael L. Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of Business at New York University.