Data and Data Processing Issues in the Estimation of Requirements for Aircraft Recoverable Spares and Depot Repair

Fred Finnegan, John Abell

ResearchPublished 1993

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.

Order a Print Copy

Format
Paperback
Page count
40 pages
List Price
$15.00
Buy link
Add to Cart

Document Details

  • Copyright: RAND Corporation
  • Availability: Available
  • Year: 1993
  • Print Format: Paperback
  • Paperback Pages: 40
  • Paperback Price: $15.00
  • Paperback ISBN/EAN: 978-0-8330-1434-4
  • Document Number: MR-264-AF

Citation

RAND Style Manual
Finnegan, Fred and John Abell, Data and Data Processing Issues in the Estimation of Requirements for Aircraft Recoverable Spares and Depot Repair, RAND Corporation, MR-264-AF, 1993. As of September 16, 2024: https://www.rand.org/pubs/monograph_reports/MR264.html
Chicago Manual of Style
Finnegan, Fred and John Abell, Data and Data Processing Issues in the Estimation of Requirements for Aircraft Recoverable Spares and Depot Repair. Santa Monica, CA: RAND Corporation, 1993. https://www.rand.org/pubs/monograph_reports/MR264.html. Also available in print form.
BibTeX RIS

Research conducted by

This publication is part of the RAND monograph report series. The monograph report was a product of RAND from 1993 to 2003. RAND monograph reports presented major research findings that addressed the challenges facing the public and private sectors. They included executive summaries, technical documentation, and synthesis pieces.

This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited; linking directly to this product page is encouraged. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial purposes. For information on reprint and reuse permissions, please visit www.rand.org/pubs/permissions.

RAND is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.