A logical, step-by-step approach to complex problem-solving.

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.

Features :
REVISED! Text Organization - The 12th edition features well-organized text that flows smoothly and follows a logical progression of topics, placing the different management science modelling techniques in their proper perspective. The first 10 chapters are related to mathematical programming that can be solved using Excel spreadsheets, including linear, integer, nonlinear and goal programming, as well as network techniques.
NEW! Sections on Business Analytics (Chapter 1), Project Risk (Chapter 8) and Data Mining (Chapter 15) have been added to this edition.
NEW! Problems and Cases - A substantial number of homework questions, problems and cases are offered for students to practice. The 12th edition includes more than 840 homework problems, 45 of which are new and 69 end-of-Chapter cases, 5 of which are new.
REVISED! Management Science Application Boxes - These boxes are located in every Chapter in the text and describe how a company, an organization, or an agency uses the particular management science technique being presented and demonstrated in the Chapter to compete in a global environment. Over 35% of the “Management Science Application” boxes are new for the 12th edition.

Table of 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