An Introduction to Management Science Quantitative Approaches to Decision Making 14th edition by Anderson Sweeney Williams Camm Cochran Fry Ohlmann Solution Manual
An Introduction to Management Science Quantitative Approaches to Decision Making 14th edition by Anderson Sweeney Williams Camm Cochran Fry Ohlmann Solution Manual
3.8 (75%) 8 votes
An Introduction to Management Science Quantitative Approaches to Decision Making 14th edition by Anderson Sweeney Williams Camm Cochran Fry Ohlmann Solution Manual
3.8 (75%) 8 votes

This is completed downloadable of An Introduction to Management Science: Quantitative Approaches to Decision Making 14th edition by David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran, Fry and Ohlmann Solution Manual

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Reflecting the latest developments in Microsoft Office Excel 2013, Anderson/Sweeney/Williams/Camm/Cochran/Fry/Ohlmann’s AN INTRODUCTION TO MANAGEMENT SCIENCE: 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.

An Introduction to Management Science Quantitative Approaches to Decision Making 14th edition by Anderson Sweeney Williams Camm Cochran Fry Ohlmann Solution Manual

An Introduction to Management Science Quantitative Approaches to Decision Making 14th edition by Anderson Sweeney Williams Camm Cochran Fry Ohlmann Solution Manual

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).
Appendix A: Building Spreadsheet Models.
Appendix B: Areas for the Standard Normal Distribution.
Appendix C: Values of e-?.
Appendix D: References and Bibliography.
Appendix E: Self-Test Solutions and Answers to Even-Numbered Problems.

Product details:

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

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