Assessment of the indicators of “service unavailability” when organizing repair works of complex equipment
DOI:
https://doi.org/10.17308/sait.2020.1/2597Keywords:
complex equipment, random risk process, reliability indicators, simulation modellingAbstract
The article discusses the organization of repair works of complex equipment. To organise such works, an insurance fund is necessary which has two functions: it accumulates money paid over different time intervals to perform various types of repair works, and, when necessary, provides financing to pay for these works. The mathematical description of the state of the insurance fund is based on a random risk process used in risk theory. This approach allowed us to introduce numerical models of reliability indicators characterizing service unavailability in relation to equipment maintenance. The service is connected with repair works and the lack of availability occurs due to the lack of financial support for them. Numerical models of reliability indicators include: the probability of failure-free operation, the average operating time, the gamma-percent resource, the probability of failure-free operation of the residual resource, the average residual resource; the gamma percent residual life. To study these indicators, we designed a programme which, using an event based approach, creates the necessary sample values and then processes them numerically. The simulation programme is able to be “tuned” to various sources of data, which provides us the opportunity to conduct research using a wide range of data sources.
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