Identification and analysis of the risk of down time in the operational work of bulldozers
Апстракт
The subject research is aimed at pointing out the methodology of identification, classification and risk analysis of mining machines. Bulldozers as heavy mobile machines are very useful in mining processes as auxilary machines
which generate up to 20% of the total mining costs and cause numerous injections and fatalities. Till now, there have been numerous attempts to understand underlying causes of injury incidents on mining equipment, but available studies very rarely analyze and do not systematically identify, quantify and evaluate risks related to bulldozers. The risk calculation was realized by applying the semiquantitative method in risk assessment. The experimental part of the research was conducted on a mining machine, bulldozer Komatus K155AX, for which risk mapping was performed and conclusions on the most significant stoppages from the risk aspect were made. The results of the research indicated that there were no high and moderate risk stoppages in the observed machine. T...he most significant
stoppages were identified for danger level 6 mechanical types of stoppages. It is also significant that in the observed time period in which the work of the mining machine was recorded and monitored, no organizational stoppages or stoppages due to human factors were recorded, which indicates the efficiency of the maintenance function.
Кључне речи:
bulldozer / work efficiency / stoppages / riskИзвор:
13th DQM International Conference Life Cycle Engineering and Management DQM-POLYTECH-2022 : Proceedings, june 23-24, 2022, Prijevor, Serbia, 2022Издавач:
- Čačak : DQM Research Center
Колекције
Институција/група
Mašinski fakultetTY - CONF AU - Brkić, Aleksandar AU - Misita, Mirjana AU - Spasojević Brkić, Vesna AU - Papić, Neda AU - Perišić, Martina PY - 2022 UR - https://machinery.mas.bg.ac.rs/handle/123456789/4126 AB - The subject research is aimed at pointing out the methodology of identification, classification and risk analysis of mining machines. Bulldozers as heavy mobile machines are very useful in mining processes as auxilary machines which generate up to 20% of the total mining costs and cause numerous injections and fatalities. Till now, there have been numerous attempts to understand underlying causes of injury incidents on mining equipment, but available studies very rarely analyze and do not systematically identify, quantify and evaluate risks related to bulldozers. The risk calculation was realized by applying the semiquantitative method in risk assessment. The experimental part of the research was conducted on a mining machine, bulldozer Komatus K155AX, for which risk mapping was performed and conclusions on the most significant stoppages from the risk aspect were made. The results of the research indicated that there were no high and moderate risk stoppages in the observed machine. The most significant stoppages were identified for danger level 6 mechanical types of stoppages. It is also significant that in the observed time period in which the work of the mining machine was recorded and monitored, no organizational stoppages or stoppages due to human factors were recorded, which indicates the efficiency of the maintenance function. PB - Čačak : DQM Research Center C3 - 13th DQM International Conference Life Cycle Engineering and Management DQM-POLYTECH-2022 : Proceedings, june 23-24, 2022, Prijevor, Serbia T1 - Identification and analysis of the risk of down time in the operational work of bulldozers UR - https://hdl.handle.net/21.15107/rcub_machinery_4126 ER -
@conference{ author = "Brkić, Aleksandar and Misita, Mirjana and Spasojević Brkić, Vesna and Papić, Neda and Perišić, Martina", year = "2022", abstract = "The subject research is aimed at pointing out the methodology of identification, classification and risk analysis of mining machines. Bulldozers as heavy mobile machines are very useful in mining processes as auxilary machines which generate up to 20% of the total mining costs and cause numerous injections and fatalities. Till now, there have been numerous attempts to understand underlying causes of injury incidents on mining equipment, but available studies very rarely analyze and do not systematically identify, quantify and evaluate risks related to bulldozers. The risk calculation was realized by applying the semiquantitative method in risk assessment. The experimental part of the research was conducted on a mining machine, bulldozer Komatus K155AX, for which risk mapping was performed and conclusions on the most significant stoppages from the risk aspect were made. The results of the research indicated that there were no high and moderate risk stoppages in the observed machine. The most significant stoppages were identified for danger level 6 mechanical types of stoppages. It is also significant that in the observed time period in which the work of the mining machine was recorded and monitored, no organizational stoppages or stoppages due to human factors were recorded, which indicates the efficiency of the maintenance function.", publisher = "Čačak : DQM Research Center", journal = "13th DQM International Conference Life Cycle Engineering and Management DQM-POLYTECH-2022 : Proceedings, june 23-24, 2022, Prijevor, Serbia", title = "Identification and analysis of the risk of down time in the operational work of bulldozers", url = "https://hdl.handle.net/21.15107/rcub_machinery_4126" }
Brkić, A., Misita, M., Spasojević Brkić, V., Papić, N.,& Perišić, M.. (2022). Identification and analysis of the risk of down time in the operational work of bulldozers. in 13th DQM International Conference Life Cycle Engineering and Management DQM-POLYTECH-2022 : Proceedings, june 23-24, 2022, Prijevor, Serbia Čačak : DQM Research Center.. https://hdl.handle.net/21.15107/rcub_machinery_4126
Brkić A, Misita M, Spasojević Brkić V, Papić N, Perišić M. Identification and analysis of the risk of down time in the operational work of bulldozers. in 13th DQM International Conference Life Cycle Engineering and Management DQM-POLYTECH-2022 : Proceedings, june 23-24, 2022, Prijevor, Serbia. 2022;. https://hdl.handle.net/21.15107/rcub_machinery_4126 .
Brkić, Aleksandar, Misita, Mirjana, Spasojević Brkić, Vesna, Papić, Neda, Perišić, Martina, "Identification and analysis of the risk of down time in the operational work of bulldozers" in 13th DQM International Conference Life Cycle Engineering and Management DQM-POLYTECH-2022 : Proceedings, june 23-24, 2022, Prijevor, Serbia (2022), https://hdl.handle.net/21.15107/rcub_machinery_4126 .