For undergraduate or graduate courses in Management Science, Quantitative Methods, and Decision Modeling. This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.
Introduction to Management Science shows students how to approach decision making problems in a straightforward, logical way. By focusing on simple, straightforward explanations and examples with step by step details of the modeling and solution techniques, this text makes the mathematical topics of Management Science less complex. The tenth edition retains the same readability and accessibility to techniques and applications as the widely adopted previous editions, and also includes updated Excel spreadsheets, Excel "Add-ins", and new problems and case studies.
1. Introduction to Modeling
2. Modeling with Linear Programming
3. Solving Linear Programming Models
4. Solving Examples of Linear Programming Models
5. Integer Linear Programming Models
6. Linear Programming Transportation Models
7. Shortest Route, Minimal Spanning Tree, and Maximal Flow Models
8. Managing Multicriteria Problems
9. Modeling Multicriteria Problems
10. Nonlinear Programming Models
, etc.