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Product details:
- ISBN-13: 9798214346571
- Author: David R. Anderson, Dennis J. Sweeney, Thomas A. Williams, Jeffrey D. Camm, James J. Cochran
Equip students with a conceptual understanding of management science’s role in the decision-making process with Camm/Cochran/Fry/Ohlmann/Anderson/Sweeney/Williams’ market-leading AN INTRODUCTION TO MANAGEMENT SCIENCE: QUANTITATIVE APPROACHES TO DECISION MAKING, 16E. This edition uses a hallmark problem-scenario approach in a new full-color design as the authors introduce each quantitative technique within an application setting. Students learn to apply the management science model to generate solutions and make recommendations for management. Updates clarify concept explanations while new vignettes and problems demonstrate concepts at work. Mathematical methods are presented using graphical solutions with chapter appendices that show the steps for using Microsoft® Office Excel® 365.
Table of contents:
Chapter 1. Introduction
Chapter 2. An Introduction to Linear Programming
Chapter 3. Linear Programming: Sensitivity Analysis and Interpretat
Chapter 4. Linear Programming Applications in Marketing, Finance, and
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
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