Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/11789
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dc.contributor.authorPapic, Ljubisa-
dc.contributor.authorKovacević P.-
dc.date.accessioned2021-04-20T19:14:02Z-
dc.date.available2021-04-20T19:14:02Z-
dc.date.issued2016-
dc.identifier.urihttps://scidar.kg.ac.rs/handle/123456789/11789-
dc.description.abstract© 2016 IEEE. Human errors are one of the main sources of many problems related to the reliability of mining machines. Occurrence of human errors is caused by the actions as failure (omission, unsuccessful attempt) to execute a required function, wrong decision in a response on certain problem, performing of function that shouldn't be executed, unsuccessful in recognition (observation, revealing) of a dangerous condition that requires corrective measures, bad timing and bad response on unpredicted circumstances. Integration both of approaches to human factor analysis: top-down (Causes-effect diagram and 5 Why?) and bottom-up (event tree analysis) for mining machines maintenance operations effectiveness improvement is considering in the paper. The method of Causes-effect diagram and 5 Why? are used in the subject investigation to detect and systematize human factors (human errors) that affect the results performing for the mining machines maintenance operation, i.e. sources that cause a maintenance problem. Event Tree Analysis is used as additional method in regard to Causes-effect diagram and 5 Why?. This method described certain logical events which come from primary initial event - error of maintainer. Event tree is in the subject investigation developed in order to find modes for mitigation waste (injury).-
dc.rightsrestrictedAccess-
dc.sourceProceedings - 2nd International Symposium on Stochastic Models in Reliability Engineering, Life Science, and Operations Management, SMRLO 2016-
dc.titleHuman factor in mining machines maintenance operations-
dc.typeconferenceObject-
dc.identifier.doi10.1109/SMRLO.2016.80-
dc.identifier.scopus2-s2.0-84964903402-
Appears in Collections:Faculty of Technical Sciences, Čačak

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