The data system that supports the estimation of requirements for aircraft recoverable spares and depot repair is fraught with errors. The result is that many components are promoted from their correct levels of significance to higher levels, so that the requirements computation overvalues the items. Consequently, the system overinvests in these items, resulting in an ineffective mix of spares. This report discusses the kinds of errors observed in the data and suggests an approach to cleaning up the database, coupled with a system of audits and a training program to keep the database relatively error-free.
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