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Namsuk Cho, Hoseok Moon, Jaeyoung Cho*, Sangwoo Han and Jaijeong Pyun
One of the decisive factors for victory in military operations is the performance of the weapons system. This is reflected in the Required Operational Capabilities (ROC). ROC is determined in the acquisition planning phase when the quantitative goals of the weapon system are clarified. Inaccurate ROCs can generate serious consequences, such as failures in testing and evaluation, increases in lifecycle costs, delays in the acquisition, and, in the worst case, suspension of the acquisition project. In this research, we propose a novel framework for determining ROC by the combination of optimization and simulation techniques. First of all, an optimization model is formulated to maximize the mission success rate, taking into account the performance and effectiveness of the acquiring weapon system. For the optimization modeling, we generated a set of equations while figuring out the relation between the Measure of Performance (MOP) and the Measure of Effectiveness (MOE) by inspecting observed data from the simulation run. We describe relevant techniques and experiments that were performed to demonstrate our methodology has real world applicability to the Defense Acquisition Process.
Published Date: 2022-05-31; Received Date: 2022-04-29