EURO 2024 Copenhagen
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1268. Augmenting a Joint Force Dynamic Targeting Decisions

Invited abstract in session MD-20: Military, Defense, and International Security I, stream Military, Defense, and International Security.

Monday, 14:30-16:00
Room: 45 (building: 116)

Authors (first author is the speaker)

1. Peter Bovet Emanuel
Departement of War Studies, Swedish Defence University

Abstract

This study is motivated by optimizing the utilization of military resources within a joint force involved in targeting activities during operations. The weapon-to-target problem (WTA) is type of assignment problem as each target requires a matching with an appropriate weapon and each weapon is a resource within a joint force’s targeting enterprise. Engaging high priority targets necessitates consideration including its characteristics, vulnerabilities, and level of protection. Furthermore, one’s own weapons must be effective against the specific target to create a desired effect. High priority targets often require expensive weapons with high accuracy which makes these weapons scarce resources. Emerging targets in the battlespace are associated with uncertainties, priorities, compatible weapon types and the corresponding number weapons to a desired effect. The matching of weapon-to-target is constrained by inherent capacities, the protection level of the targets, and subject to probability in the execution of each mission or target engagement. All prioritized targets need to be engaged and neutralized, therefore potentially requiring a re-attack in a second stage. Therefore, the study employed a multi-stage and multi-objective model to replicate a dynamic targeting environment and linearized the probability aspect to enable integer linear programming (ILP) model. The study presents a new way of modelling WTA problems, augmenting a joint force targeting decisions.

Keywords

Status: accepted

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