Description
For undergraduate courses in management science.
A logical, step-by-step approach to complex problem-solving
Introduction to Management Science gives students 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 students’ ability to leverage the technology they will use throughout their careers. By practicing these modeling techniques, students gain a useful framework for problem-solving that they can then apply in the workplace.
Features
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.
Develop quantitative skills students will need to make decisions throughout their career
· Examples and Example Problems demonstrate how problems are solved using different quantitative techniques, which students can use as a model for future course work and in their careers.
· Expanded - The text now contains over 800 Homework Problems and 69 Cases , giving students additional practice opportunities to master the topic at hand.
· Updated - 48 Management Science Application boxes, 25% of which are new to this edition, describe how a company, an organization, or an agency uses the particular management science technique being presented in the chapter to compete in a domestic or global environment.
Facilitate problem-solving using the latest software tools
Students will use software tools throughout their careers in order to solve problems. You can provide them with opportunities for practice and additional support on how to use these tools, via the following:
· Updated - Excel® 2016 Spreadsheet solutions are demonstrated in almost all of the chapters for virtually every management science modeling technique presented.
· New - 175+ Spreadsheet screenshots appear throughout, most of which include reference boxes to describe the solution steps. Data files for these model solutions can be downloaded to work homework problems.
· The latest versions of Excel QM for Windows, Risk Solver Platform for Education, TreePlan, Crystal Ball by Oracle, and Microsoft Project, used by businesses and organizations, are included and ideal for further learner exploration.
· Data sets and additional files that enable the use of these tools with Introduction to Management Science are available for download.
New to this Edition
Management science is the application of mathematical models and computing technology to help decision makers solve problems. Therefore, new text revisions like this one tend to focus on the latest technological advances used by businesses and organizations for solving problems, as well as new features that students and instructors have indicated would be helpful to them in learning about management science. Following is a list of the substantial new changes made for this 13th edition of the text:
• This revision incorporates the latest version of Excel® 2016 and includes more than 175
new spreadsheet screenshots.
• More than 60 new exhibit screenshots have been added to show the latest versions of
Microsoft® Project 2016, QM for Windows, Excel QM, TreePlan, and Crystal Ball.
• This edition includes 20 new end-of-chapter homework problems, so it now contains more
than 800 homework problems and 69 cases.
• All 800-plus Excel homework files on the Instructor's Web site have been replaced with
new Excel 2016 files.
• Updated “Chapter Web links” are included for every chapter. More than 550 Web links are
provided to access tutorials, summaries, and notes available on the Internet for the various
topics in the chapters. Also included are links to YouTube videos that provide additional
learning resources.
• Twelve of the 48 “Management Science Application” boxes are new for this edition. All of
these new boxes provide applications of management science techniques by companies and
organizations.
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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