Preventive maintenance with limited historical data

Preventive maintenance with limited historical data

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Article ID: iaor19981089
Country: Netherlands
Volume: 82
Issue: 1
Start Page Number: 125
End Page Number: 144
Publication Date: Apr 1995
Journal: European Journal of Operational Research
Authors: ,
Abstract:

We consider a piece of equipment that is subject to breakdown. If breakdowns are very costly, it may be attractive to undertake preventive maintenance on a regular basis. We model the time until breakdown as a discrete random variable whose probability distribution is not exactly known (due to limited historical data). An optimal Bayesian strategy for selecting the preventive maintenance interval (T) is developed. In some circumstances the optimal strategy turns out to involve hedging due to the uncertainty in the probabilities, namely using a T-value 1 period less than what would be selected under the assumption that the probabilities are exactly known at their current (updated) values. Two simple heuristic methods are presented. On numerous tests one of them is shown to give very low percentage cost penalties.

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