Test Bank for Introduction to Management Science 12th by Taylor

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Test Bank for Introduction to Management Science 12th by Taylor

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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 modeling techniques that are used extensively in the business world and provides a useful framework for problem-solving that students can apply in the workplace.

The Twelfth Edition focuses on the latest technological advances used by businesses and organizations for solving problems and leverages the latest versions of Excel 2013, Excel QM, TreePlan, Crystal Ball, Microsoft Project 2010, and QM for Windows.

Table of Contents

Preface

1. Management Science
2. Linear Programming: Model Formulation and Graphical Solution
3. Linear Programming: Computer Solution and Sensitivity Analysis
4. Linear Programming: Modeling Examples
5. Integer Programming
6. Transportation, Transshipment, and Assignment Problems
7. Network Flow Models
8. Project Management
9. Multicriteria Decision Making
10. Nonlinear Programming
11. Probability and Statistics
12. Decision Analysis
13. Queuing Analysis
14. Simulation
15. Forecasting
16. 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
The following items can be found on the Companion Website that accompanies this text:
Website Modules

• Module A: The Simplex Solution Method
• Module B: Transportation and Assignment Solution Methods
• Module C: Integer Programming: The Branch and Bound Method
• Module D: Nonlinear Programming Solution Techniques
• Module E: Game Theory
• Module F: Markov Analysis

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