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- W2892597554 abstract "Forecasting engine reliability and subsequent repair demand for maintenance activities (including engine and component removals) is essential to maintaining aircraft availability. These forecasts can be used for financial budgeting, planning human resources, managing facilities, and procuring parts. Although the current deterministic tools are adequate for mature programs, reliability forecasting for programs in the first years of an engine's life cycle and programs in the last years of engine's life cycle is more difficult due to the acquisition (or retirement) of engines and other changes. A more comprehensive and sophisticated simulation modeling approach was developed to create better forecasts. Comparisons to historical data show that the simulation model generates reliability forecasts that are as accurate as those generated by current forecasting tools for mature programs. Because the simulation model can represent a wide variety of dynamic scenarios, it is also appropriate for programs in the first years of an engine's life cycle and programs in the last years of engine's life cycle, which will standardize the forecasting process across these programs. Future work will include automated links to build the simulation instances and automated output analysis." @default.
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- W2892597554 date "2018-01-01" @default.
- W2892597554 modified "2023-09-24" @default.
- W2892597554 title "Using Discrete Event Simulation to Improve Aircraft Engine Reliability Forecasts" @default.
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