Prediction of Scheduled and Preventative Maintenance Workload

Abstract

This report documents the development of new techniques to predict Preventive Maintenance task completion times in relation to system and equipment design characteristics. Data derived from numerous expert maintainers via interviews and a subjective maintenance time estimation process were analyzed. The analysis led to the development of techniques for predicting preventive maintenance down time early in the design process. Two prediction products were developed, one to be used by maintainability engineers during system/equipment validation phase design and one to be used during full scale development phase design. Use of these products was discussed in the context of MIL-HDBK-472 procedures and as a means of reducing system maintenance costs. Keywords: Scheduled/Preventive Maintenance Action(SPMA), and Subjective Estimation.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1985
Accession Number
ADA153761

Entities

People

  • C. P. Vaziri
  • J. C. Notestine
  • J. N. Irvin
  • J. S. Schmidt
  • R. J. Ritchie

Organizations

  • Harris Corporation

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Aircrafts
  • Artificial Intelligence
  • Computer Programs
  • Data Analysis
  • Databases
  • Downtime
  • Electronic Equipment
  • Engineering
  • Information Processing
  • Information Science
  • Information Systems
  • Maintenance
  • Maintenance Personnel
  • Measurement
  • Regression Analysis
  • Statistical Analysis
  • Test Equipment

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Instructional Design and Training Evaluation.
  • Software Engineering