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DEVELOPMENT OF RELIABILITY-BASED MAINTENANCE POLICIES FOR HAUL TRUCKS IN A SURFACE MINE
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Mert Sarıgül Thesis.pdf
Date
2022-9-2
Author
Sarıgül, Mert
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The growing production market and the resultant increase in raw material requirements create pressure on mining companies to achieve production at a higher rate by keeping unit operating costs manageable. It is recognized that the performance of mining machinery, maintenance downtime profiles, and operating cost variations are the main parameters effective in the sustainability of machinery fleets. On this basis, developing robust and up-to-date maintenance policies regarding operation dynamics and fleet machinery configuration is vital for mining production. A maintenance policy embodies various work packages such as corrective repair, corrective replacement, preventive replacement, on-condition maintenance, and regular inspections. Which packages need to be included in the maintenance policy for which components depend on repairability or replacement conditions of components and the expected financial benefits of each decision. Moreover, reliability and maintainability behaviors of system components are highly effective in the decision-making process since a maintenance policy should provide a balance between over-maintenance and under-maintenance. This study intends to develop reliability-based maintenance policies using fault tree analysis for a truck fleet, including six trucks operated in a surface coal mine in Türkiye. Seven maintenance policies for improving reliability were evaluated and compared according to their contributions to operating cost and fleet availability. The policy contents generated an availability variation between 59% and 66%.
Subject Keywords
Fault Tree Analysis
,
Mining
,
Haul Truck
,
Reliability
,
Maintenance Policy
URI
https://hdl.handle.net/11511/99483
Collections
Graduate School of Natural and Applied Sciences, Thesis
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M. Sarıgül, “DEVELOPMENT OF RELIABILITY-BASED MAINTENANCE POLICIES FOR HAUL TRUCKS IN A SURFACE MINE,” M.S. - Master of Science, Middle East Technical University, 2022.