Modeling and Forecasting the Demand for Aircraft Recoverable Spare Parts

Abstract

This report addresses the problem of estimating Air Force needs for aircraft recoverable spare parts and their depot-level repair. Since the forecasting techniques imbedded in the Air Force Materiel Command's current requirements estimation process were implemented, a great deal has been learned about modeling parts demand processes more effectively. The report explores several issues involved in modeling and forecasting demands for aircraft spare parts along with alternative forecasting methods that can substantially reduce expected predictive error. The research described here is part of a larger body of work intended to help us understand better the effects of uncertainty and management adaptations in shaping the performance of the logistics system in a variety of peacetime and wartime scenarios, and to account explicitly for those effects in spares and repair requirements estimation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1993
Accession Number
ADA282492

Entities

People

  • John B. Abell
  • John L. Adams
  • Karen E. Isaacson

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Computational Science
  • Conductive Polymers
  • Data Science
  • Databases
  • Estimators
  • Information Processing
  • Information Science
  • Kalman Filtering
  • Logistics Management
  • Mathematical Filters
  • Probability Distributions
  • Random Variables
  • Statistical Algorithms
  • Stochastic Processes

Readers

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