Current decision making processes separate the intelligence tasks from the operations tasks. This creates a system that is reactive rather than proactive, leaving potential gains in the timeliness and quality of responding to a situation of interest. In this paper we will present a new optimization paradigm that combines the tasking of intelligence, surveillance, and reconnaissance (ISR) assets with the tasks and needs of operational assets. Some of the collection assets will be dedicated for one function or another, while a third category that could perform both will also be considered. We will use a scenario to demonstrate the value of the merger by presenting the impact to a number of intelligence and operations measures of performance and effectiveness (MOPS/MOES). Using this framework, mission readiness and execution assessment for a simulated humanitarian assistance/disaster relief (HADR) mission is monitored for tasks on intelligence gathering, distribution of supplies, and repair of vital lanes of transportation, during the relief effort. The results demonstrate a significant improvement to measures of performance when intelligence tasking takes operational objectives into consideration.
Katie McConky, Hector Ortiz-Peña, Chad Poe, and Moises Sudit, "Evaluating the integration of operations tasks while optimizing ISR activities," Proc. SPIE 10190, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII, 101900Z (Presented at SPIE Defense + Security: April 12, 2017; Published: 4 May 2017); https://doi.org/10.1117/12.2265045.
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