F-106 Scheduled Maintenance Study. Phase III. Predictions and Recommendations.

Abstract

The objective of the F-106 Scheduled Maintenance Study was to formulate a method for examining the scheduled maintenance program in terms of both inspection content and interval suitable for any aircraft and to optimize that maintenance program on a cost and effectiveness basis. Data review, data bank generation, field trips, and problem formulation were accomplished in Phase I of the study, as reported in GDCA-AHD72-001. During Phase II of this study, as reported in GDCA-AHD72-003, the requried statistical analyses were programmed and performed; the maintenance program analysis process was formulated; the cost and effectiveness models were formulated, programmed, and exercised; and a preliminary definition of the alternative maintenance program was completed. This report documents the results of the third and final phase of the study as well as Phase I and II. The tasks included in Phase III were the definition of the alternative maintenance program inspection packages and interval constraints, optimization of the maintenance program interval through cost and effectiveness analysis, formulation of a transition strategy for the recommended maintenance program, and preparation of a user's manual for the software package developed during the study.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1972
Accession Number
ADA045399

Entities

People

  • Gordon Wang
  • J. R. Cooper
  • K. E. Marks
  • L. J. Brown
  • R. S. Grote

Organizations

  • General Dynamics

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Equipment
  • Aircrafts
  • Airframes
  • Computer Programming
  • Computer Programs
  • Control Systems Engineering
  • Databases
  • Detectors
  • Ejection Seats
  • Fuselages
  • Guide Vanes
  • Hydraulic Accumulators
  • Ignition
  • Information Science
  • Maintenance
  • Nose Wheels
  • Regression Analysis

Fields of Study

  • Engineering

Readers

  • Computer Science.
  • Life Cycle Cost Analysis
  • Logistics and Supply Chain Management.