The Use of Time Series Analysis to Develop Spares Requirements Forecasts.
AIR FORCE INST OF TECH WRIGHT-PATTERSON AFB OH SCHOOL OF SYSTEMS AND LOGISTICS
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There is a growing suspicion that a linear relationship for demands per flying hour, as currently used, is not an accurate assumption. The spare parts data used for stock level maintenance may not, necessarily, conform to the general assumption of a linear relationship for demands on those parts per flying hour. There is a concern that support based on this peacetime assumption may fall short in a wartime situation. Demands per flying hours are inherently a factor of time, but this factor is not presently considered in computing forecasts. Time series methods are compared to a model of the same data, produced without the benefit of time series methods, to demonstrate that using the linearity assumption in forecasting can lead to errors. Author
- Numerical Mathematics
- Logistics, Military Facilities and Supplies