AIR TASKING ORDER OPTIMIZATION MODEL

Authors

  • Okan Arslan
  • Erol Yücel

Keywords:

Target Selection, ATO Generation, Network Problem, Greedy Algorithm, P-Median Location, Dijkstra’s Algorithm

Abstract

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.

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References

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Published

23-01-2012

How to Cite

[1]
O. Arslan and E. Yücel, “AIR TASKING ORDER OPTIMIZATION MODEL”, JAST, vol. 5, no. 3, pp. 9–21, Jan. 2012.

Issue

Vol. 5 No. 3 (2012)

Section

Articles

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The manuscript with title and authors is being submitted for publication in Journal of Aeronautics and Space Technologies. This article or a major portion of it was not published, not accepted and not submitted for publication elsewhere. If accepted for publication, I hereby grant the unlimited and all copyright privileges to Journal of Aeronautics and Space Technologies.

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