Test Bank for Introduction to Management Science Quantitative Approaches to Decision Making 14th Edition Anderson 1111823618 9781111823610

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QUANTITATIVE APPROACHES TO DECISION MAKING, 14E equips readers with a sound conceptual understanding of the role that management science plays in the decision-making process. The trusted market leader for more than two decades, the book 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 2013 to effectively prepare you to work with the latest spreadsheet tools. In addition, readers can get a copy of LINGO software and Excel add-ins with the book’s online content.

Language: English
ISBN-10: 1111823618
ISBN-13: 978-1111823610
ISBN-13: 9781111823610

Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Fry, Ohlmann

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an introduction to management science quantitative approaches to decision making 14th edition pdf
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Solution manual for Introduction to Management Science Quantitative Approaches to Decision Making 14th Edition Anderson 1111823618 9781111823610

Table of content:

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 (on Website).
18. Simplex-Based Sensitivity Analysis and Duality (on Website).
19. Solutions Procedures for Transportation and Assignment Problems (on Website).
20. Minimal Spanning Tree (on Website).
21. Dynamic Programming (on Website).

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