An Introduction to Management Science: Quantitative Approach 15th Edition David R. Anderson

An Introduction to Management Science: Quantitative Approach – Ebook Instant Download/Delivery ISBN(s): 9781337671286,1337671282

Product details:

• ISBN-10 ‏ : ‎ 133740652X
• ISBN-13 ‏ : ‎ 978-1337406529
• Author(s): David R. Anderson; Dennis J. Sweeney; Thomas A. Williams; Jeffrey D. Camm; James J. Cochran

Now you can gain with a sound conceptual understanding of the role that management science plays in the decision-making process while mastering the latest advantages of Microsoft Office Excel 2016. The trusted market leader for more than two decades, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann’s AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 15E uses a proven problem-scenario approach to introduce each quantitative technique within an applications setting. All data sets, applications, and screen visuals reflect the details of Excel 2016 to effectively prepare you to work with the latest spreadsheet tools. In addition, the book’s online content offers LINGO software and Excel add-ins.

Table contents:

1. Introduction.
2. An Introduction to Linear Programming.
3. Linear Programming: Sensitivity Analysis and Interpretation of Solution.
4. Linear Programming Applications in Marketing, Finance, and Operations Management.
5. Advanced Linear Programming Applications.
6. Distribution and Network Models.
7. Integer Linear Programming.
8. Nonlinear Optimization Models.
9. Project Scheduling: PERT/CPM.
10. Inventory Models.
11. Waiting Line Models.
12. Simulation.
13. Decision Analysis.
14. Multicriteria Decisions.
15. Time Series Analysis and Forecasting.
16. Markov Processes.
17. Linear Programming: Simplex Method (online).
18. Simplex-Based Sensitivity Analysis and Duality (online).
19. Solutions Procedures for Transportation and Assignment Problems (online).
20. Minimal Spanning Tree (online).
21. Dynamic Programming (online).
Appendix A: Building Spreadsheet Models.
Appendix B: Areas for the Standard Normal Distribution.
Appendix C: Values of e–λ.
Appendix D: References and Bibliography.
Appendix E: Self-Test Solutions and Answers to Even-Numbered Problems (online only).

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