CROPDUSTER: a model for evaluating the Common Relevant Operational Picture (CROP)
Gaver, Donald Paul
Jacobs, Patricia A.
Pilnick, Steven E.
Richards, F. Russell
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A high-level, low-resolution (HLLR) stochastic model for evaluating the benefits of a Common Relevant Operational Picture (CROP) is described. The model focuses on the sensor-to-shooter information needed by elements of a joint force to engage time critical Targets. The model includes realistic random delays or latency caused by congestion or system unreliability, random times until Target detection and loss, and a probabilistic representation of the Services' overall capability to detect, classify and shoot at a varying set of different Target types. The model results support the following conclusions. CROP can increase the number of time-critical Targets killed, sometimes considerablyCROP can decrease the mean and variance of the number of weapons expended to kill Targetsthe benefits of CROP can be degraded if the CROP process requires more time from Target detection until weapon arrival at the Target.
NPS Report NumberNPS-OR-02-004
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