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A Simulation of the I3 to D Repair Process and Sparing of the F414-GE- 400 Jet Aircraft Engine | 
enlarge | Publisher: Storming Media Category: Book
Buy New: $36.95
Media: Spiral-bound Pages: 171
ISBN: 1423500598 EAN: 9781423500599 ASIN: 1423500598
Publication Date: 2003 Availability: Usually ships in 1-2 business days Shipping: Expedited shipping available Shipping: International shipping available Condition: Please note that this is a report or document and is not a book, per se. It is 171 pages long and is Velobound in a soft linen cover. This technical report was sponsored by the Pentagon and is provided in the best form available to the government. Sometimes our report quality is picture perfect and in color; other times, particularly for older reports, extensive black-and-white photocopying has degraded the quality. If you have any questions about quality of a particular report, please ask and we would be happy to describe it in more detail.
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Product Description This is a NAVAL POSTGRADUATE SCHOOL MONTEREY CA report procured by the Pentagon and made available for public release. It has been reproduced in the best form available to the Pentagon. It is not spiral-bound, but rather assembled with Velobinding in a soft, white linen cover. The Storming Media report number is A072814. The abstract provided by the Pentagon follows: The F/A-18E/F is the latest multi-mission tactical aircraft to enter United States Naval Service. it generates power via two F414-GE-400 engines, each of which is composed of six modules. In addition to a new aircraft model and engines, a new concept, the 13 to D Repair Process, is being used for F414- GE-400 module and engine repair. in the 13 to D Repair Process, the intermediate level no longer repairs modules. instead, the depot level performs all module repairs. This thesis develops and exercises a simulation of the 13 to D Repair Process for the F414-GE-400 by incorporating simulated F/A-18E/F flight schedules and engine failures to populate the repair cycle. The simulation provides operational availability (A0) and probability to spare the repair process given an infrastructure and sparing profile. Three previous years of module failures and depot repair times are used to calibrate the model. Simulation results for the baseline studied showed the distinct influence of certain input parameters.
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