Overview

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.

Full Product Details

Author:   Michael L. Pinedo
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   Softcover reprint of the original 5th ed. 2016
Dimensions:   Width: 15.50cm , Height: 3.50cm , Length: 23.50cm
Weight:   1.044kg
ISBN:  

9783319799735

ISBN 10:   3319799738
Pages:   670
Publication Date:   31 March 2018
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
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Table of Contents

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.

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Author Information

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

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