ORACLE (Oversight of Resources and Capability for Logistics Effectiveness) and Requirements Forecasting. Volume 3. Predicting the Peacetime Spares Requirements.

Abstract

The inability of the armed services to accurately forecast their spares requirements has been an ongoing and widespread problem. This Note considers a regression methodology for spares requirements forecasting, It contains a nontechnical description of current forecasting approaches, presents the approach suggested by the authors, and details the methods used to calculate the requirements for the C-5, the F-15, and the F-16 aircraft. The authors conclude that, even after eliminating collections of parts whose costs are difficult to predict, costs for the remainder of the requirements are difficult to predict with the needed accuracy. Keywords: Forecasting, Spare parts, Regression analysis, Military aircraft, Fighter aircraft, Data bases.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1988
Accession Number
ADA195390

Entities

People

  • F. W. Finnegan
  • Gordon B. Crawford
  • Z. F. Lansdowne

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Air Platforms
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Aircraft Equipment
  • Aircrafts
  • Data Processing
  • Databases
  • Delphi Method
  • Failure Mode And Effect Analysis
  • Fire Control Systems
  • Information Science
  • Logistics
  • Maintenance
  • Materials Laboratories
  • Materials Processing
  • Materials Testing
  • Regression Analysis
  • Training Devices

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Theoretical Analysis.