| Summary: | This thesis focuses on the use of computer simulation for modeling risk of a multi-state repairable component.
In production processes, maintenance decisions are often made based on uncertain assessment of risk, not only in the probability when a process component goes into a state of failure but also in the cost of lost production and preventive maintenance. In this thesis work, preventive maintenance of a component is modeled and simulated, in order to minimize risk (cost), as:
a Markov process with multiple states and fixed transition probabilities, under the assumption that with a sufficient number of states the Markovian property is valid,
a non Markov process with two possible states and non-fixed transition probabilities for a periodically decreasing reliability component, and
a non Markov process with two possible states and non-fixed transition probabilities for a continuously decreasing reliability component. === Engineering Management
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