Published by Pearson (November 21, 2023) © 2023
Bernard TaylorProduct Information
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.
- Management Science
- Linear Programming: Model Formulation and Graphical Solution
- Linear Programming: Computer Solution and Sensitivity Analysis
- Linear Programming: Modeling Examples
- Integer Programming
- Transportation, Transshipment, and Assignment Problems
- Network Flow Models
- Project Management
- Multicriteria 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
- 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