In recent years, the field of Operations Research (OR) has experienced a virtual explosion in the amount of software designed to support today's style of analysis and problem solving. Such an abundance of products demands that you know how to evaluate the capabilities and limitations of the wide variety available. You also need to know how to identify problems that the methods of OR can solve, how to structure the problems into standard mathematical models, and finally how to apply or develop commputational tools to solve the problems.
Operations Research: A Practical Introduction answers all of these needs. It offers a clear, practical introduction and guide to using OR techniques in scientific decision-making, design, analysis, and management. It only presents the standard mathematical models and algorithms, but also includes a timely examination of innovative methods and practical issues related to the development and use of computer implementations.
Chapter 1 Introduction to Operations Research
Chapter 2 Linear Programming
Chapter 3 Network Analysis
Chapter 4 Integer Programming
Chapter 5 Nonlinear Optimization
Chapter 6 Markov Processes
Chapter 7 Queuing Models
Chapter 8 Simulation
Chapter 9 Decision Analysis
Chapter 10 Heuristic Techniques in Operations Research