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
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:AEU.10048/726 |
| Date | 11 1900 |
| Creators | Gallardo Bobadilla, Roberto |
| Contributors | Lipsett, Michael (Mechanical Engineering), Zuo, Ming (Mechanical Engineering), Kumar, Amit (Mechanical Engineering), Szymanski, Jozef (Civil and Environmental Engineering) |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Thesis |
| Format | 1644459 bytes, application/pdf |
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