Introduction to Operations Research

Key changes for this sixth edition include:

• Innovative tutorial software-featuring demonstration examples, interactive routines, and automatic routines-has been expanded, improved (much larger problems now can be solved), and fully integrated with the text.
  
• More than 250 new problems have been added, including six larger computer-oriented case problems.
  
• Some dramatic case studies of real applications have been integrated into the initial chapters.
  
• More formulation examples for linear programming and integer programming have been added.
  
• Many chapters have been carefully revised to make them even more accessible for students with a modest mathematical background (e.g., basic calculus and, for several chapters, an introduction to probability theory).

Table of contents

Preface

1. Introduction

2. Overview of the Operations Research Modeling Approach

3. Introduction to Linear Programming

4. Solving Linear Programming Problems: The Simplex Method

5. The Theory of the Simplex Method

6. Duality Theory and Sensitivity Analysis

7. Other Algorithms for Linear Programming

8. The Transportation and Assignment Problems

9. Network Analysis, Including Pert-CPM

10. Dynamic Programming

11. Game Theory

12. Integer Programming

13. Nonlinear Programming

14. Markov Chains

15. Queueing Theory

16. The Application of Queueing Theory

17. Inventory Theory

18. Forecasting

19. Markov Decision Processes

20. Decision Analysis

21. Simulation

Appendixes

Answers to Selected Problems

Indexes

Author Index

Subject Index