TY - GEN
T1 - Optimizing collection requirements through analysis of plausible impact
AU - Tong, Khiem
AU - Yang, Shanchieh Jay
AU - Sudit, Moises
AU - Holsopple, Jared
PY - 2011
Y1 - 2011
N2 - Intelligence collection, while critical in mission planning, lacks systematic means to quantify its value for optimal prioritization. This work proposes a framework that starts with analyzing the plausible impacts imposed on assets and mission due to predicted adversary activities. The candidate collection requirements, derived from plausible futures, are evaluated for their benefits to mitigate potential impact to mission success. A Mixed Integer Programming problem is formulated to model the tradeoff between maximizing mission impact mitigation and satisfying resource constraints. A case study is presented to demonstrate the effectiveness of the framework, where insights are obtained based on the optimal solutions.
AB - Intelligence collection, while critical in mission planning, lacks systematic means to quantify its value for optimal prioritization. This work proposes a framework that starts with analyzing the plausible impacts imposed on assets and mission due to predicted adversary activities. The candidate collection requirements, derived from plausible futures, are evaluated for their benefits to mitigate potential impact to mission success. A Mixed Integer Programming problem is formulated to model the tradeoff between maximizing mission impact mitigation and satisfying resource constraints. A case study is presented to demonstrate the effectiveness of the framework, where insights are obtained based on the optimal solutions.
UR - https://www.scopus.com/pages/publications/80052551789
M3 - Conference contribution
SN - 9781457702679
T3 - Fusion 2011 - 14th International Conference on Information Fusion
BT - Fusion 2011 - 14th International Conference on Information Fusion
T2 - 14th International Conference on Information Fusion, Fusion 2011
Y2 - 5 July 2011 through 8 July 2011
ER -