Introduction to Management Science, 13th edition

  • Bernard W. Taylor

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For undergraduate courses in management science.


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

Introduction to Management Science gives readers a strong foundation in how to make decisions and solve complex problems using both quantitative methods and software tools. In addition to extensive examples, problem sets, and cases, the 13th Edition incorporates Excel 2016 and other software resources, developing readers’ ability to leverage the technology they will use throughout their careers. By practicing these modeling techniques, readers gain a useful framework for problem-solving that they can then apply in the workplace.

Table of contents

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 

Appendix C: The Poisson and Exponential Distributions 


Solutions to Selected Odd-Numbered Problems 


The following items can be found on the companion website that accompanies this text:

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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Published by Pearson (October 8th 2018) - Copyright © 2019