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

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

Author(s): David R. Anderson; Dennis J. Sweeney; Thomas A. Williams; Jeffrey D. Camm; James J. Cochran

ISBN(s): 9781337671286, 1337671282

Edition: 15

File Details: PDF, 6.96 MB

Year: 2018

Language: English

SKU: EB-43077536 Category: Business & Economics - Management & Leadership Tags: 1337671282, 9781337671286, David R. Anderson, Dennis J. Sweeney, James J. Cochran, Jeffrey D. Camm, Management Science, Quantitative Approach, Thomas A. Williams

Description

An Introduction to Management Science: Quantitative Approach 15th Edition David R. Anderson – Ebook Instant Download/Delivery ISBN(s): 9781337671286,1337671282

Product details:

• ISBN 10:1337671282
• ISBN 13:9781337671286
• Author(s): David R. Anderson; Dennis J. Sweeney; Thomas A. Williams; Jeffrey D. Camm; James J. Cochran

Equip students with a conceptual understanding of the role that management science plays in the decision-making process while integrating the latest developments in Microsoft® Office Excel® 2016. The 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 provides unwavering accuracy with emphasis on applications and timely examples. A hallmark problem-scenario approach introduces each quantitative technique within an applications setting. Students apply the management science model to generate solutions and recommendations for management. All data sets, applications, and screen visuals reflect Excel 2016.

Table Contents:

Cover Page
Title Page
Copyright Page
Dedication
Preface
Acknowledgments
About the Authors
Chapter 1. Introduction
Chapter 2. An Introduction to Linear Programming
Chapter 3. Linear Programming: Sensitivity Analysis and Interpretation of Solution
Chapter 4. Linear Programming Applications in Marketing, Finance, and Operations Management
Chapter 5. Advanced Linear Programming Applications
Chapter 6. Distribution and Network Models
Chapter 7. Integer Linear Programming
Chapter 8. Nonlinear Optimization Models
Chapter 9. Project Scheduling: PERT/CPM
Chapter 10. Inventory Models
Chapter 11. Waiting Line Models
Chapter 12. Simulation
Chapter 13. Decision Analysis
Chapter 14. Multicriteria Decisions
Chapter 15. Time Series Analysis and Forecasting
Chapter 16. Markov Processes
Chapter 17. Linear Programming: Simplex Method
Chapter 18. Simplex-Based Sensitivity Analysis and Duality
Chapter 19. Solution Procedures for Transportation and Assignment Problems
Chapter 20. Minimal Spanning Tree
Chapter 21. Dynamic Programming

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