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More About This Textbook
Overview
Product Details
Meet the Author
Michael Pinedo is a Julius Schlesinger Professor of Operations Management at New York University.
Table of Contents
1 Introduction 1
Pt. I Deterministic Models
2 Deterministic Models: Preliminaries 13
3 Single Machine Models (Deterministic) 35
4 Advanced Single Machine Models (Deterministic) 69
5 Parallel Machine Models (Deterministic) 111
6 Flow Shops and Flexible Flow Shops (Deterministic) 151
7 Job Shops (Deterministic) 179
8 Open Shops (Deterministic) 217
Pt. II Stochastic Models
9 Stochastic Models: Preliminaries 243
10 Single Machine Models (Stochastic) 263
11 Single Machine Models with Release Dates (Stochastic) 291
12 Parallel Machine Models (Stochastic) 317
13 Flow Shops, Job Shops and Open Shops (Stochastic) 345
Pt. III Scheduling in Practice
14 General Purpose Procedures for Deterministic Scheduling 371
15 More Advanced General Purpose Procedures 395
16 Modeling and Solving Scheduling Problems in Practice 427
17 Design and Implementation of Scheduling Systems: Basic Concepts 455
18 Design and Implementation of Scheduling Systems: More Advanced Concepts 481
19 Examples of System Designs and Implementations 507
20 What Lies Ahead? 547
Appendices
A Mathematical Programming: Formulations and Applications 559
B Deterministic and Stochastic Dynamic Programming 573
C Constraint Programming 581
D Complexity Theory 589
E Complexity Classification of Deterministic Scheduling Problems 603
F Overview of Stochastic Scheduling Problems 607
G Selected Scheduling Systems 611
H The Lekin System 615
References 623
Subject Index 659
Name Index 665