Название: Handbook of Military and Defense Operations Research, 2nd Edition
Автор: Natalie M. Scala, James P. Howard, II
Издательство: CRC Press
Год: 2025
Страниц: 575
Язык: английский
Формат: pdf (true)
Размер: 34.3 MB
Tracing its roots back to World War II, operations research (OR) has become a vital tool in military and defense strategy. The second edition of the Handbook of Military and Defense Operations Research highlights this evolution, showcasing how OR integrates with cutting-edge areas like Artificial Intelligence (AI), cybersecurity, and Big Data analytics. This volume is more than a historical account; it is a practical guide. The volume features expert voices and offers insights into OR applications in modern security challenges. Readers will discover a blend of theory and real-world case studies, making it an essential resource for both newcomers and seasoned defense analysis professionals. Operations research (OR) is a core discipline in military and defense management. Coming to the forefront initially during World War II, OR provided critical contributions to logistics, supply chains, and strategic simulation, while enabling superior decision making for Allied forces. Since these early days, OR has grown to include analytics and many applications, including artificial intelligence, cybersecurity, and machine learning, and is the cornerstone of management science in manufacturing, marketing, telecommunications, and many other fields. The Handbook of Military and Defense Operations Research presents the voices leading OR and analytics to new heights in security through research, practical applications, case studies, and lessons learned in the field. No longer constrained to printed tables and traditional optimization problems, OR and analytics support a dynamic problem space that has applications for national security, policing, cyberspace, foreign policy, terrorism, and homeland security. Because of this, there is a critical need for students, practitioners, military, and security analysts to understand the problem space, best practices, and lessons learned from real‑life problems.
