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- W1973304359 abstract "The combination of simulation with the maintenance analysis of mining equipment has been proven to be an effective tool to assess the impact of equipment failures on mining equipment. Genetic algorithms have been applied to multiple areas of mine design, mostly involving optimization solutions. With regard to maintenance analysis, past research in mining focused on the design of a genetic algorithm based modelling technique that is applied to the failure data of equipment to assess the reliability of a machine under study. The objective of this research is to develop, integrate and demonstrate that a methodology involving the combination of a reliability assessment model based on genetic algorithms with a discrete-event simulation model can be an effective tool for maintenance analysis of mining equipment. The reliability assessment model based on genetic algorithms provides input in the form of times between failures (TBFs) to a discrete-event simulation model. The simulation component emulates a typical..." @default.
- W1973304359 created "2016-06-24" @default.
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- W1973304359 date "2008-03-01" @default.
- W1973304359 modified "2023-10-16" @default.
- W1973304359 title "Discrete-event simulation of mine equipment systems combined with a reliability assessment model based on genetic algorithms" @default.
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- W1973304359 doi "https://doi.org/10.1080/17480930701589674" @default.
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