| Autor: |
Esposito Nicola, Castanier Bruno, Giorgio Massimiliano |
| Přispěvatelé: |
Maria Chiara Leva, Edoardo Patelli, Luca Podofillini, Simon Wilson, Esposito, Nicola, Castanier, Bruno, Giorgio, Massimiliano |
| Jazyk: |
angličtina |
| Rok vydání: |
2022 |
| Předmět: |
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| Popis: |
In this paper, we propose an adaptive hybrid age/condition-based maintenance policy for units whose degradation paths can be modelled via a gamma process with random effect. The maintenance policy consists in measuring the degradation level of the unit at a first (age-based) inspection time, and in using a condition-based rule to decide whether to immediately replace the unit or to postpone its replacement to a future time that is determined, unit by unit, based on the outcome of the inspection. The optimal maintenance policy is defined by minimizing the long-run average cost rate. After each replacement the unit is considered as good as new. The lifetime of the unit is defined by using a failure threshold model. Maintenance costs are computed accounting for preventive replacement cost, corrective replacement cost, inspection cost, logistic cost, and downtime cost (which depends on the time spent in a failed state). |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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