Research for HORNET

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July 1, 1996
The Consolidated Automated Support System (CASS) is a computerized Automatic Test Equipment (ATE) systems that is currently being fielded by the Department of the Navy. Over the next several years, CASS will replace existing ATE systems and help the Navy standardize test and training procedures. The Director of the Navy' s Air Warfare Division (N88) and the Support Equipment Program Office (PMA-260) asked CNA to review the Navy s current plans for CASS implementation within the fleet. These plans call for the phase integration of CASS into both Navy and Marine Corps maintenance facilities. This paper examines CASS requirements for supporting avionics components at shore-based Regional Maintenance Centers (RMCs). Specifically, our sponsor wanted to know: how many CASS stations do RMCs need; and how many of each type of CASS stations do they need? We address these questions by examining the planned RMC support for (only) F/A-18 and F-14 aircraft at Oceana.
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April 1, 1993
The Gulf War was an impressive demonstration of air power in action. Coalition air forces seized control of the air in the first hours, then devastated military facilities in Iraq and Iraqi forces in the field -- paving the way for the remarkable 100-hour victory by coalition ground forces. Airpower did not win the war by itself, but it was the foundation for projecting U.S. military power and overcoming numerical disadvantages on the ground. Airpower is likely to play a similar key role in the next major regional conflict. Thus, the U.S. must maintain its superiority in airpower despite rising costs and declining budgets. The issues are complex and controversial, but ignoring issues will not make them go away. This paper discusses policy and concept issues that need debate and examines two broad strategies for dealing with affordability problems.
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June 1, 1987
Principal components analysis is applied to nine indicators of aircraft reliability, maintainability, and safety. The indicators are standard readiness measures such as mean time between failure at different points in the aircraft's career. The data are adjusted to include only the airframe. The assumption behind the analysis is that the observable variables are indicators of an underlying unobservable variable, 'airframe quality.' This principal components analysis provides a quality 'score' for each aircraft. Five of the six aircraft analyzed fall within one standard deviation of the average score. The scores for the first principal component account for over 85 percent of the variation in the original indicators, which is highly significant in a statistical sense. This finding supports the initial hypothesis; 'quality' exists and is the major source of variation across aircraft in the nine indicators.
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