Modelling the Scheduled Preventive Maintenance as a Linear System.

Abstract

Reliability, operating cost and useful life of a system depends on the effectiveness of the preventative maintenance performed over the life cycle of the system. Another very important factor on long term reliability and overall supportability of systems is the contact and information flow between design engineers and logistic planners. The purpose of this thesis is to develop a model of scheduled preventative maintenance that will allow the design engineer and logistics planners to predict future, long term system reliability based on scheduled preventative maintenance periods and capabilities. The model uses Markov processes by formulates the equations as a linear, state variable control system. This technique will simplify the Markov models of large and complex systems. And will lead to a computer model which runs fast, has low operating cost and consequently provides higher sensitivity analysis. (kr)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1988
Accession Number
ADA213848

Entities

People

  • M. E. Gunes

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Complex Systems
  • Computational Science
  • Computer Programming
  • Computer Programs
  • Computers
  • Differential Equations
  • Engineers
  • Equations
  • Linear Systems
  • Logistics
  • Maintenance
  • Markov Models
  • Markov Processes
  • Mathematical Models
  • Preventive Maintenance
  • Probability
  • Reliability

Fields of Study

  • Engineering

Readers

  • Life Cycle Cost Analysis
  • Operations Research
  • Systems Analysis and Design