A MODEL FOR SCHEDULING MAINTENANCE UTILIZING MEASURES OF EQUIPMENT PERFORMANCE

Abstract

The report describes a method for scheduling preventive maintenance to minimize expected average hourly maintenance cost based on a criterion of periodically observing deterioration in one or more equipment performance characteristics. The mathematical procedure requires expressing the deterioration phenomenon in the form of a simple Markov process. The implication of this method is that a forecast of equipment failure is based only on existing performance level and is independent of any history of prior deterioration rate. The criterion for scheduling preventive maintenance is expressed as a method involving matrix multiplication rather than as a simple algebraic formula or a series of curves. This was necessitated by the large number of input parameters consisting of maintenance cost parameters and a matrix of probabilities descriptive of the deterioration phenomenon. Hypothetical numerical examples established the potential of this method for achieving real saving in maintenance cost. The method provides a systematic search for 'lemon' equipments, and, conversely, protects against discarding those equipments which tend to maintain high performance levels over extended periods of time. As an added result of this analysis, the algebraic method provides a technique for collecting deterioration data in terms of distributions and not just averages.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1959
Accession Number
AD0641024

Entities

People

  • C. E. Bradley
  • E. L. Welker

Organizations

  • ARINC

Tags

Communities of Interest

  • Energy and Power Technologies
  • Human Systems

DTIC Thesaurus Topics

  • Engineering
  • Experimental Data
  • Instrumentation
  • Intervals
  • Load Monitoring
  • Maintenance
  • Maintenance Costs
  • Maintenance Personnel
  • Markov Chains
  • Markov Processes
  • Mathematical Models
  • Mathematics
  • Models
  • Preventive Maintenance
  • Probability
  • Scheduling (Production)
  • Time Intervals

Readers

  • Logistics and Supply Chain Management.
  • Regression Analysis.
  • Systems Analysis and Design