CROPDUSTER: a model for evaluating the Common Relevant Operational Picture (CROP)
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Authors
Gaver, Donald Paul
Jacobs, Patricia A.
Pilnick, Steven E.
Richards, F. Russell
Subjects
Weapons systems
United States
United States
Advisors
Date of Issue
2002
Date
2002
Publisher
Monterey, California. Naval Postgraduate School
Language
Abstract
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 considerably
CROP can decrease the mean and variance of the number of weapons expended to kill Targets
the benefits of CROP can be degraded if the CROP process requires more time from Target detection until weapon arrival at the Target.
CROP can decrease the mean and variance of the number of weapons expended to kill Targets
the benefits of CROP can be degraded if the CROP process requires more time from Target detection until weapon arrival at the Target.
Type
Technical Report
Description
Series/Report No
Department
Operations Research
Organization
Naval Postgraduate School (U.S.)
Joint Forces Command (U.S.)
Identifiers
NPS Report Number
NPS-OR-02-004
Sponsors
Funder
Format
50 p.: ill.;28 cm.
Citation
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.