Real-Time Heuristics and Metaheuristics for Static and Dynamic Weapon Target Assignments

The problem of targeting and engaging individual missiles (targets) with an arsenal of interceptors (weapons) is known as the weapon target assignment problem. This problem has been well-researched since the seminal work in 1958. There are two distinct categories of the weapon target assignment problem: static and dynamic. The static weapon target assignment problem considers a single instance in which a known number of incoming missiles is to be engaged with a finite number of interceptors. By contrast, the dynamic weapon target assignment problem considers either follow on engagement(s) should the first engagement(s) fail, a subsequent salvo of incoming missiles, or both. This research seeks to define and solve a realistic dynamic model. First, assignment heuristics and metaheuristics are developed to provide rapid near-optimal solutions to the static weapon target assignment. Next, a technique capable of determining how many of each interceptor type to reserve for a second salvo by means of approximate dynamic programming is developed. Lastly, a model that realistically considers erratic flight paths of incoming missiles and determines assignments and firing sequences of interceptors within a simulation to minimize the number of hits to a protected asset is developed. Additionally, the first contemporary survey of the weapon target assignment problem since 1985 is presented. Collectively, this work extends the research of missile defense into practical application more so than currently is found within the literature

Prevention of terrorism : an assessment of prior POM work and future potentials

© 2020 Production and Operations Management Society In this study, we review POM-based research related to prevention of terrorism. According to the Federal Emergency Management Agency (FEMA) terrorist attacks have the potential to be prevented. Consequently, the focus of this study is on security enhancement and improving the resiliency of a nation to prevent terrorist attacks. Accordingly, we review articles from the 25 top journals, [following procedures developed by Gupta et al. (2016)], in the fields of Production and Operations Management, Operations Research, Management Science, and Supply Chain Management. In addition, we searched some selected journals in the fields of Information Sciences, Political Science, and Economics. This literature is organized and reviewed under the following seven core capabilities defined by the Department of Homeland Security (DHS): (1) Intelligence and Information Sharing, (2) Planning, (3) Interdiction and Disruption, (4) Screening, Search, and Detection, (5) Forensics and Attribution, (6) Public Information and Warning, and (7) Operational Coordination. We found that POM research on terrorism is primarily driven by the type of information that a defending country and a terrorist have about each other. Game theory is the main technique that is used in most research papers. Possible directions for future research are discussed