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Dynamic Air Tasking Evaluation in a Simulated Network-Centric Battlespace

Madjid TavanaMatthew BaileyTimothy Busch

出版	SSRN, 2009
URL	http://books.google.com.hk/books?id=LGXbzwEACAAJ&hl=&source=gbs_api

註釋

Joint Air Operations (JAO) are historically designed through centralized planning using static air tasking that assigns air assets to mission packages for the purpose of achieving campaign objectives. The current methodology cannot anticipate changes in the battle space nor take advantage of real-time information. In this study, we develop a simulation model of the battle space that utilizes a Multi-Criteria Decision Analysis (MCDA) model to assign vehicles to targets by considering four competing objectives (effort, effectiveness, efficiency, and connectivity). A Voronoi network is used to determine the paths of vehicles to their assigned targets and network optimization is used to validate the quality of the assignments. The results indicate that dynamic air tasking is considerably more effective and more efficient than static air tasking.