Using simple, straightforward examples to present complex mathematical concepts, Introduction to Management Science gives students a strong foundation in how to logically approach decision-making problems. Sample problems are used liberally throughout the text to facilitate the learning process and demonstrate different quantitative techniques. Management Science presents modelling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace.

Contents:

Management Science

Linear Programming: Model Formulation and Graphical Solution

Linear Programming: Computer Solution and Sensitivity Analysis

Linear Programming: Modelling Examples

Integer Programming

Transportation, Transhipment and Assignment Problems

Network Flow Models

Project Management

Multi-criteria Decision Making

Nonlinear Programming

Probability and Statistics

Decision Analysis

Queuing Analysis

Simulation

Forecasting

Inventory Management

Appendix A: Normal and Chi-Square Tables

Appendix B: Setting Up and Editing a Spreadsheet Site Modules

Appendix C: The Poisson and Exponential Distributions

Solutions to Selected Odd-Numbered Problems

Glossary

Index