What is it about?
The costs of corrective maintenance and the costs of replacement of damaged parts are unexpectedly created at random moments of operating means of transport, usually between scheduled maintenance. Due to the variety of failure processes of individual parts of the vehicle, the methods and applications of stochastic modelling for simple failures modelled by the Poisson process are presented in this paper. The basis for the application of the presented methods is to identify those parts of the vehicle that are damaged in accordance with this process.
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Why is it important?
Despite compliance with scheduled maintenance, vehicles during operation at random times are subject to an unexpected failures, as a result of which they usually lose their ability to perform transport functions. Vehicle failures are caused by failures of certain parts of the vehicle. During 5 years, the vehicles of the tested fleet have been damaged several thousand times due to failures of several hundred different parts. In order to restore the operational availability of the vehicle, damaged parts are replaced by new ones as part of the corrective maintenance. Thus, the costs of corrective maintenance are modelled, i.e. costs that are not included in scheduled and preventive maintenance costs.
Perspectives
The authors see further development of the conducted research in such a weakening the assumptions of the failure process models, so that the application possibilities in the field of corrective maintenance cost prediction can be broadened.
Ph.D, D.Sc. Karol Andrzejczak
Politechnika Poznanska
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This page is a summary of: Poisson-distributed failures in the predicting of the cost of corrective maintenance, Eksploatacja i Niezawodnosc - Maintenance and Reliability, September 2018, Polskie Naukowo-Techniczne Towarzystwo Eksploatacyjne,
DOI: 10.17531/ein.2018.4.11.
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