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Resilience estimation of the mining fleet (Case study: Sungun copper mine) | ||
| International Journal of Mining and Geo-Engineering | ||
| دوره 55، شماره 2، اسفند 2021، صفحه 151-156 اصل مقاله (901.31 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22059/ijmge.2021.290468.594828 | ||
| نویسندگان | ||
| Adel Motahedi1؛ Farhang Sereshki1؛ Mohammad Ataei* 1؛ Abbas Barabadi2؛ Ali Nouri Qarahasanlou3 | ||
| 1Faculty of Mining, Petroleum and Geophysics Engineering, Shahrood University of Technology, Shahrood, Iran | ||
| 2Department of Engineering and Safety, UiT the Arctic University of Norway, Tromsø, Norway | ||
| 3Faculty of Technical and Engineering, Imam Khomeini International University, Qazvin, Iran | ||
| چکیده | ||
| In recent years, using of the resilience concept has been increased in order to evaluate the response of systems against the failures. Resilience depicts the system ability to return to its normal operational status after failure accruing. According to the literature survey, there are various studies, which have been done in the field of engineering and non-engineering systems, and there is no study about applying resilience concept in the field of mining industry. In this paper, at first, resilience concept has been introduced and then the resilience of the mining fleet of Sungun copper mine has been estimated. Systems performance indicators include reliability; maintainability and supportability have been used in order to resilience estimation. The results showed that the resilience of the entire system for one hour of its function is equal to 83.1% and this value decreases to 37.1% after 10 hours. This means if there is a failure in the system; it will have 83.1% and 37.1% probabilities to be resilience against the failure event after 1 hour and 10 hours of system function. | ||
| کلیدواژهها | ||
| Maintainability؛ Mining؛ Reliability؛ Resilience؛ Supportability | ||
| مراجع | ||
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[1] Yoon, J. T., Youn, B. D., Yoo, M., & Kim, Y. (2017). A newly formulated resilience measure that considers false alarms, 167, 417–427. [2] Alexander, D. E. (2013). Resilience and disaster risk reduction: an etymological journey, 13, 2707–2716. [3] MacKinnon, D., & Derickson, K. D. (2012). From resilience to resourcefulness: A critique of resilience policy and activism, 37(2), 253–270. [4] National Infrastructure Advisory Council (NIAC). (2009). Critical Infrastructure Resilience: Final Report and Recommendations. Department of Homeland Security, U.S.: National Infrastructure Advisory Council. [5] Orwin, K. H., & Wardle, D. A. (2004). New indices for quantifying the resistance and resilience of soil biota to exogenous disturbances, 36, 1907–1912. [6] Allenby, B., & Fink, J. (2005). Toward inherently secure and resilient societies, 390, 1034–1036. [7] Haimes, Y. Y. (2009). On the definition of resilience in systems, 29(4), 498–501. [8] Youn, B. D., Hu, C., & Wang, P. F. (2011). Resilience-driven system design of complex engineered systems, 133, 1–15. [9] Pregenzer, A. L. (2011). Systems resilience: a new analytical framework for nuclear nonproliferation. New Mexico, Albuquerque: Sandia National Laboratories. [10] Ayyub, B. M. (2014). Systems resilience for multihazard environments: definition, metrics, and valuation for decision making, 34(2), 340–355. [11] Hosseini, S. M., Barker, K., & Ramirez-Marquez, J. E. (2016). A Review of Definitions and Measures of System Resilience, 145, 47–61. [12] Holling, C. S. (1973). Resilience and stability of ecological systems, 4, 1–23. [13] Taşan-Kok, T., Stead, D., & Lu, P. (2013). Conceptual Overview of Resilience: History and Context. In A. Eraydin & T. Taşan-Kok (Eds.), Resilience Thinking in Urban Planning (Vol. 106, pp. 39–51). Springer, Dordrecht. [14] Haddadi, P., & Besharat, M. A. (2010). Resilience, vulnerability, and mental health, 5, 639–642. [15] Li, J., & Xi, Z. (2014). Engineering Recoverability: A New Indicator of Design for Engineering Resilience (pp. 1–6). Presented at the Proceedings of the ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Buffalo, New York, USA. [16] Bruneau, M., Chang, S. E., Eguchi, R. T., Lee, G. C., O’Rourke, T. D., Reinhorn, Winterfeldt, D. (2003). A framework to quantitatively assess and enhance the science of the seismic resilience of communities, 19(4), 733–752. [17] Tierney, K., & Bruneau, M. (2007). Conceptualized and Measuring Resilience, 250, 14–17. [18] Cimellaro, G. P., Reinhorn, A., & Bruneau, M. (2010). Seismic resilience of a hospital system, 6, 127–177. [19] Rød, B., Barabadi, A., & Gudmestad, O. (2016). Characteristics of Arctic Infrastructure Resilience: Application of Expert Judgement. Presented at the 26th International Ocean and Polar Engineering Conference, 26 June-2 July, Rhodes, Greece: International Society of Offshore and Polar Engineers. [20] Cai, B., Xie, M., Liu, Y., & Feng, Q. (2018). Availability-based engineering resilience metric and its corresponding evaluation methodology, 172, 216–224. [21] Barabadi, A., Barabady, J., & Markeset, T. (2011). A methodology for throughput capacity analysis of a production facility considering environment condition, 96, 1637–1646. [22] Hoseinie, S. H., Ataei, M., Khalokakaie, R., Ghodrati, B., & Kumar, U. (2012). Reliability analysis of drum shearer machine at mechanized longwall mines, 18(1), 98–119. [23] Garmabaki, A. H. S., Ahmadi, A., Block, J., Pham, H., & Kumar, U. (2016). A reliability decision framework for multiple repairable units, 150, 78–88. [24] Qarahasanlou, A. N., Barabadi, A., & Ayele, Y. Z. (2018). Production performance analysis during operation phase: A case study. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, 232(6), 559– 575. https://doi.org/10.1177/1748006X17744383 [25] Gharahasanlou, A., Ataei, M., Khalokakaie, R., Barabadi, A., & Einian, V. (2017). Risk-based maintenance strategy: a quantitative approach based on time-to-failure model, 30, 1–10. [26] Nouri Qarahasanlou, A., Ataei, M., Khalokakaie, R., & Mokhberdoran, M. (2018). Mining Spare Parts Provision by Reliability Analysis, Case Study: Sungun Copper Mine, 8(15), 25–38. [27] Adibi, N., Ataee-pour, M., & Rahmanpour, M. (2015). Integration of sustainable development concepts in open pit mine design. Journal of Cleaner Production, 108, 1037–1049. https://doi.org/10.1016/j.jclepro.2015.07.150. | ||
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