AIR TASKING ORDER OPTIMIZATION MODEL

• Main Authors: Okan Arslan, Erol Yücel
• Format: Article
• Language: English
• Published: Hezarfen Aeronautics and Space Technologies Institue 2012-01-01
• Series: Havacılık ve Uzay Teknolojileri Dergisi
• Subjects: Target Selection; ATO Generation; Network Problem; Greedy Algorithm; P-Median Location; Dijkstra’s Algorithm
• Online Access: http://www.jast.hho.edu.tr/JAST/index.php/JAST/article/view/243/231

Combined Air Operation Center (CAOC) provides command and control in operational level in air operations planning and execution. Operation cycle in CAOC requires planning and controlling 1000-1500 flights daily and creates information overload and time pressure on the decision makers. Under such complicated circumstances, achieving the decision superiority and keeping it emerges as a force multiplier. This study proposed a decision support model to achieve the decision superiority by generating Air Tasking Order (ATO) in a short time which contains assignment information of aircraft, munitions and targets. In this context, target selection process is modeled by heuristic methods, the aircraft are assigned to the targets using P-median model and therefore a complete solution is proposed for the operations planning process. The applicability of the proposed model is tested on several generic scenarios.