Maintenance policy assessments usually rely on expert judgement. We seek for some history based validation. Organisations may use our inference to assess risks of maintenance policy violations.
We depart from the arbitrary viewpoint that decisions have observable effects. We confine to a dependency between a maintenance policy and functionality. We implement (Granger, 1980)’s notion of prima facie causality that suits history based inferences under an observational study. A case study which is realistic in terms of sample size and operationalization allows us to reflect on inference precision.
We implemented an argument to infer a prima facie cause between a maintenance policy and functionality. We showed some delimitations of the applicability to any kind of maintenance policy violation and to the recordings from any organisation.
- Reduce controversy about maintenance policy assessments.
- Improve integrity of maintenance recordings.
- Ensure that the sampling rate of performance indicators enables reconstruction of the signal.
|Publisher||European Federation of National Maintenance Societies|
|Conference||22nd European Congress & Expo on Maintenance and Asset Management|
|Period||5/05/14 → 7/05/14|