Speaker
Description
The growing diversity of unmanned aircraft systems (UAS) in the recent conflicts has challenged the allocation of reusable and One-way Attack (OWA) unmanned platforms for specific air mission. This paper proposes a cost-oriented decision-making framework supporting automated mission planning under operational uncertainty. The approach formalizes the relationship between mission effectiveness, system cost, and expected reuse cycles, introducing threshold-based criteria for rational platform selection. By distinguishing between nominal and adversarial operational conditions, the model enables comparative evaluation of reusable and OWA UAS across varying risk levels. The results demonstrate that under high attrition or disruption rates, OWA platforms may offer superior cost-efficiency despite lower individual performance.