Applications of Operations Research and Management Science for Military Decision Making

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About this book
Based on many years of applied research, modeling and educating future decision makers, the authors have selected the critical set of mathematical modeling skills for decision analysis to include in this book. The book focuses on the model formulation and modeling building skills, as well as the technology to support decision analysis. The authors cover many of the main techniques that have been incorporated into their three-course sequence in mathematical modeling for decision making in the Department of Defense Analysis at the Naval Postgraduate School.
The primary objective of this book is illustrative in nature. It begins with an introduction to mathematical modeling and a process for formally thinking about difficult problems, illustrating many scenarios and illustrative examples. The book incorporates the necessary mathematical foundations for solving these problems with military applications and related military processes to reinforce the applied nature of themathematical modeling process.

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Keywords
- Military Decision Making
- Mathematical Modeling
- Model Fitting
- Optimization
- Decision Analysis
- Multi-Attribute Decision Making
- Game Theory Models
- Monte Carlo Simulation
- Agent Based Models
- Dynamical Systems Models
- Differential Equations
- Discrete Modeling
Table of contents (9 chapters)
Front Matter
Pages i-xix
Mathematical Modeling, Management Science, and Operations Research for Military Decision-Making
- William P. Fox, Robert Burks
Statistics and Probability in Military Decision-Making
- William P. Fox, Robert Burks
Pages 17-99
Modeling by Fitting Data
- William P. Fox, Robert Burks
Pages 101-135
Mathematical Programming: Linear, Integer, and Nonlinear Optimization in Military Decision-Making
- William P. Fox, Robert Burks
Pages 137-191
Introduction to Multi-attribute Military Decision-Making
- William P. Fox, Robert Burks
Pages 193-249
Game Theory
- William P. Fox, Robert Burks
Pages 251-329
Modeling Change with Dynamical Systems Models
- William P. Fox, Robert Burks
Pages 331-393
MONTE CARLO Simulation and AGENT-BASED Modeling (ABM) in Military Decision-Making
- William P. Fox, Robert Burks
Pages 395-453
Logistics Network Modeling
- William P. Fox, Robert Burks
Pages 455-483
Back Matter
Pages 485-487
Authors and Affiliations
Department of Mathematics, College of William and Mary, Williamsburg, USA
Department of Defense Analysis, Naval Postgraduate School, Monterey, USA
About the authors
William P. Fox is currently a professor in the department of mathematics at the College of William and Mary and is also Professor Emeritus in the Department of Defense Analysis at the Naval Postgraduate School in Monterey, CA. He earned his Ph.D. in Industrial Engineering/Operations Research at Clemson University, and his M.S. in Operations Research and Systems Analysis at the Naval Postgraduate School. He is responsible for coordination of a three-course sequence in Mathematical Modeling for Decision Making. His research interests include mathematical education; STEM education; quantitative decision theory; multi-attribute decision making and sensitivity analysis; and applications of game theory. He is the author of many textbooks and journal articles.
Robert Burks is an Associate Professor and Director, Wargaming Activity Hub in the Department of Defense Analysis, Naval Postgraduate School, Monterey, CA. He earned his Ph.D. in Operations Research at the Air Force Institute of Technology and his M.S. in Operations Research at the Florida Institute of Technology. He currently teaches courses in Modeling for Military Decision Making, Irregular Warfare Modeling, and Wargaming. His research interests include Agent-Based Modeling, Information Operations modeling, Wargaming, and Combat Modeling.
Bibliographic Information
- Book Title : Applications of Operations Research and Management Science for Military Decision Making
- Authors : William P. Fox, Robert Burks
- Series Title : International Series in Operations Research & Management Science
- DOI : https://doi.org/10.1007/978-3-030-20569-0
- Publisher : Springer Cham
- eBook Packages : Business and Management , Business and Management (R0)
- Copyright Information : Springer Nature Switzerland AG 2019
- Hardcover ISBN : 978-3-030-20568-3 Published: 05 September 2019
- Softcover ISBN : 978-3-030-20571-3 Published: 05 September 2020
- eBook ISBN : 978-3-030-20569-0 Published: 28 August 2019
- Series ISSN : 0884-8289
- Series E-ISSN : 2214-7934
- Edition Number : 1
- Number of Pages : XIX, 487
- Number of Illustrations : 138 b/w illustrations, 149 illustrations in colour
- Topics : Operations Research/Decision Theory , Operations Research, Management Science