- 274 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Modeling Operations Research and Business Analytics
About this book
This book provides sample exercises, techniques, and solutions to employ mathematical modeling to solve problems in Operations Research and Business Analytics. Each chapter begins with a scenario and includes exercises built on realistic problems faced by managers and others working in operations research, business analytics, and other fields employing applied mathematics. A set of assumptions is presented, and then a model is formulated. A solution is offered, followed by examples of how that model can be used to address related issues.
Key elements of this book include the most common problems the authors have encountered over research and while consulting the fields including inventory theory, facilities' location, linear and integer programming, assignment, transportation and shipping, critical path, dynamic programming, queuing models, simulation models, reliability of system, multi-attribute decision-making, and game theory.
In the hands of an experienced professional, mathematical modeling can be a powerful tool. This book presents situations and models to help both professionals and students learn to employ these techniques to improve outcomes and to make addressing real business problems easier. The book is essential for all managers and others who would use mathematics to improve their problem-solving techniques.
No previous exposure to mathematical modeling is required. The book can then be used for a first course on modeling, or by those with more experience who want to refresh their memories when they find themselves facing real-world problems. The problems chosen are presented to represent those faced by practitioners.
The authors have been teaching mathematical modeling to students and professionals for nearly 40 years. This book is presented to offer their experience and techniques to instructors, students, and professionals.
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Information
Table of contents
- Cover
- Half Title
- Series
- Title
- Copyright
- Contents
- About the Authors
- Preface
- Chapter 1 ◾ Inventory Problem
- Chapter 2 ◾ Product Mix: Linear Programming Problems
- Chapter 3 ◾ Transportation and Shipping Problems
- Chapter 4 ◾ Assignment Models
- Chapter 5 ◾ Mathematical Programming Methods
- Chapter 6 ◾ Resource Allocation Models Using Dynamic Programming
- Chapter 7 ◾ Queuing Models
- Chapter 8 ◾ Simulation Models
- Chapter 9 ◾ System Reliability Modeling
- Chapter 10 ◾ Modeling Decision-Making with Multi-Attribute Decision Modeling with Technology
- Chapter 11 ◾ Regression Techniques
- Chapter 12 ◾ Marketing Strategies and Competition Using Game Theory
- Index