Monitoring machine operations using on-line sensors

Monitoring machine operations using on-line sensors

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Article ID: iaor19991063
Country: Netherlands
Volume: 96
Issue: 3
Start Page Number: 479
End Page Number: 492
Publication Date: Feb 1997
Journal: European Journal of Operational Research
Authors: ,
Keywords: markov processes
Abstract:

Monitoring machine operations and production process conditions using on-line sensors has drawn increasing attention recently. In this paper, we discuss a situation where an on-line sensor is used to monitor a randomly deteriorating machine operation. The machine condition is described by a finite number of states, and the machine deterioration follows a Markov process. It is assumed that the sensor measurement and the true machine condition have a statistical relation. A decision is to be made on when a machine setup should be made, based on the observed sensor measurement. A Markovian model is developed by considering the cost of operating the machine and the cost of performing preventive maintenance, and a steady state threshold policy is developed by minimizing the total cost. In addition, a heuristic method based on Bayes rule is proposed. A simulation study is used to study and compare the properties of these two policies.

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