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Scheduling, 3 HAR/CDR Edition

Theory, Algorithms, and Systems

Scheduling, 3 HAR/CDR Edition
Author
Pinedo, Michael L. 
Publisher
Springer-Verlag 
Publication Date
Aug, 2008 
ISBN
0387789340 or 9780387789347
HARDCOVER 
671 Pages
絶版商品のため、弊社では取り扱いできません。
Out of Print

¥ 11,553 (tax included)

Description

This book on scheduling covers theoretical models as well as scheduling problems in the real world. Author Michael Pinedo also includes a CD that contains slide-shows from industry and movies dealing with implementations of scheduling systems. The book consists of three parts. The first part focuses on deterministic scheduling with the associated combinatorial problems. The second part covers probabilistic scheduling models. In this part it is assumed that processing times and other problem data are 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 development issues. Each chapter contains a series of computational and theoretical exercises. This book is of interest to theoreticians and practitioners alike. Graduate students in operations management, operations research, industrial engineering and computer science will find the book to be an accessible and invaluable resource. Scheduling will serve as an essential reference for professionals working on scheduling problems in manufacturing and computing environments. Michael Pinedo is the Julius Schlesinger Professor of Operations Management at New York University.

Contents

1 Introduction

Part I Deterministic Models

2 Deterministic Models: Preliminaries

3 Single Machine Models (Deterministic)

4 Advanced Single Machine Models (Deterministic)

5 Parallel Machine Models (Deterministic)

6 Flow Shops and Flexible Flow Shops (Deterministic)

7 Job Shops (Deterministic)

8 Open Shops (Deterministic)

Part II Stochastic Models

9 Stochastic Models: Preliminaries

10 Single Machine Models (Stochastic)

11 Single Machine Models with Release Dates (Stochastic)

12 Parallel Machine Models (Stochastic)

13 Flow Shops, Job Shops and Open Shops (Stochastic)

Part III Scheduling in Practice

14General Purpose Procedures for Deterministic Scheduling

15 More Advanced General Purpose Procedures

16 Modeling and Solving Scheduling Problems in Practice

17 Design and Implementation of Scheduling Systems: Basic Concepts

18 Design and Implementation of Scheduling Systems: More Advanced Concepts

19 Examples of System Designs and Implementations

20 What Lies Ahead?

Appendices
A Mathematical Programming: Formulations and Applications

B Deterministic and Stochastic Dynamic Programming

C Constraint Programming

D Complexity Theory

E Complexity Classification of Deterministic Scheduling Problems

F Overview of Stochastic Scheduling Problems

G Selected Scheduling Systems

H The Lekin System

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