Maintenance Metrics to Forecast Resource Demands of Weapon Systems.

Abstract

This report describes the methodology and results of a 15-month effort to develop maintenance metrics to forecast resource demands of weapon systems. Increased concern with the rising cost to support weapon systems currently in operation, as well as those in development, has created the need for more accurate methods of projecting maintenance requirements. The objective of the research was to alleviate this need by identifying, determining, and integrating those measurable weapon systems parameters that are necessary and sufficient to predict and quantify the drivers of maintenance resource demands. The study was accomplished as three separate but similar efforts. The data base was divided into separate data bases for cargo/transport, bomber, and fighter aircraft. Separate sets of metrics were then developed for each of the three classes of aircraft from these separate data bases. This final report is intended to be a summary overview of the study project. Study descriptions and findings include study aircraft/base case selection, critical equipment selection, maintenance impact parameter selection, data base acquisition and integration, maintenance impact analysis, maintenance metric model development, and maintenance demand causal analysis. The most important end products of this study are new maintenance metrics that can increase the accuracy with which the maintenance demand rates of the various aircraft subsystems are predicted.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1983
Accession Number
ADA136557

Entities

People

  • D. H. Wilson
  • D. K. Hindes
  • F. Maher
  • G. A. Walker

Organizations

  • Boeing

Tags

Communities of Interest

  • Air Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircraft Equipment
  • Aircraft Tires
  • Aircrafts
  • Airlift Operations
  • California
  • Databases
  • Detection
  • Environment
  • Fighter Aircraft
  • Information Science
  • Logistics
  • Maintenance
  • Management Engineering
  • Regression Analysis
  • Statistical Analysis

Fields of Study

  • Computer science
  • Engineering

Readers

  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis