Research for F-14

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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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August 1, 1974
This research contribution addresses the problem of explicitly taking into account uncertainty about the demand for spare parts in making inventory procurement and stockage decisions. The model described provides for a unified treatment of the closely related problems of statistical estimation of demand and resource allocation within the inventory system, and leads to an easily implemented, efficient method of determining requirements for spare parts both in the early provisioning phase and in later periods of operations when demand data has accumulated.
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August 1, 1974
When a new aircraft, such as the F-14, is being bought, decisions on the quantities of spare parts to be bought are made even though information on expected demands, operating programs, and the final configuration of the aircraft is limited. For high-value, low-usage parts, which are those considered, the minimum-cost strategy might be to defer procurement until demands occur. During the period of deferral, the Navy would buy the needed spare parts from a stock carried by the manufacturer or from the production line if no stock is held. This paper describes an algorithm for determining in what cases this would be the best policy.
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