Operations Research Methodologies

A single source guide to operations research (OR) techniques, this book covers emerging OR methodologies in a clear, concise, and unified manner. Building a bridge between theory and practice, it begins with coverage of fundamental models and methods such as linear, nonlinear, integer, and dynamic programming, networks, simulation, queuing, inventory, stochastic processes, and decision analysis. The book then explores emerging techniques including multiple criteria optimization, meta heuristics, robust optimization, and complexity and large scale networks. Each chapter gives an overview of a particular methodology, illustrates successful applications, and provides references to computer software availability.

Table of Contents

Chapter 1. Linear Programming
Chapter 2. Nonlinear Programming
Chapter 3. Integer Programming
Chapter 4. Network Optimization
Chapter 5. Multiple Criteria Decision Making
Chapter 6. Decision Analysis
Chapter 7. Dynamic Programming
Chapter 8. Stochastic Processes
Chapter 9. Queueing Theory
Chapter 10. Inventory Control
Chapter 11. Complexity and Large-Scale Networks
Chapter 12. Simulation
Chapter 13. Metaheuristics for Discrete Optimization Problems
Chapter 14. Robust Optimization