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The South Field Mine, situated in Western Macedonia, Greece, has used continuous surface mining systems: bucket wheel excavators (BWEs), belt conveyors, and stackers for over four decades of uninterrupted operation. This paper, using the principles of the Lessons-Learned process, tries to identify, document, analyse, and disseminate valuable knowledge and experience acquired in this mine, focusing on the performance indicators and downtimes of BWEs. Quantitative analysis methods were employed to analyse data and detect trends and factors for productive time losses. During a rather crucial period for the mine, due to decarbonisation and energy transition policies, the performance of BWEs exhibited a decline. On the other hand, availability and utilisation remained relatively stable. Mechanical failures and annual maintenance appeared to be the primary causes of downtimes. Non-operating time, connected with the lack of personnel, also had a great impact on operational efficiency. According to the linear regression model, this downtime has the greatest influence on the availability of the BWEs. In conclusion, this research implies the importance of the incorporation of new technologies for monitoring and producing daily and monthly records of the mine activities, which can enhance the overall effectiveness of a continuous mining system.
Wydawca
Czasopismo
Rocznik
Tom
Strony
183--204
Opis fizyczny
Bibliogr. 29 poz., rys., tab., wykr.
Twórcy
autor
- University of Western Macedonia, Mineral Resources Engineering Department, 50150 Kozani, Greece
autor
- University of Western Macedonia, Mineral Resources Engineering Department, 50150 Kozani, Greece
autor
- University of Western Macedonia, Mineral Resources Engineering Department, 50150 Kozani, Greece
autor
- Curtin University, Kalgoorlie, Australia
autor
- Public Power Corporation of Greece, Department of Mining Engineering and Closure Planning, 10432 Athens, Greece
autor
- University of Kentucky, Department of Mining Engineering, Lexington, KY, 40506, USA
Bibliografia
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- [3] O . Zhironkina, S. Zhironkin, Technological and intellectual transition to Mining 4.0: A review. Energies 16 (3)1427 (2023). DOI: https://doi.org/10.3390/en16031427.
- [4] M. Long, S. Schafrik, P. Kolapo, Z. Agioutantis, J. Sottile, Equipment and operations automation in mining: A review. Machines 12, 713 (2024). DOI: https://doi.org/10.3390/machines12100713.
- [5] L. Wang, H. Li, J. Huang, J. Zeng, I. Tang, W. Wu, Y. Luo, Research on and design of an electric drive automatic control system for mine belt conveyors. Processes 11, 1762 (2023).DOI: https://doi.org/10.3390/pr11061762.
- [6] R. Leung, A. J. Hill, A. Melkumyan, Automation and Artificial Intelligence technology in surface mining: A brief introduction to open-pit operations in the Pilbara. IEEE Robotics & Automation Magazine, 2-21 (2023).DOI: https://doi.org/10.1109/MRA.2023.3328457.
- [7] F. Sánchez, P. Hartlieb, Innovation in the mining industry: Technological trends and a case study of the challenges of disruptive innovation. Mining, Metallurgy & Exploration 37, 1385-1399 (2020).DOI: https://doi.org/10.1007/s42461-020-00262-1.
- [8] P. K. Yadav, S. Gupta, Performance measurement of mining equipment – A state of the art. Int. Conf. on Deep Excavation, Energy Resources and Production, Paper No 154, Kharagpur, India, 24-26 Jan 2017.
- [9] A. Lanke, H. Hoseinie, B. Ghodrati, Mine Production Index (MPI): New method to evaluate the effectiveness of mining machinery. World Academy of Science, Engineering and Technology, International Journal of Environmental, Chemical, Ecological, Geological and Geophysical Engineering 8 (11), 755-759 (2014).https://publications.waset.org/9999723/pdf.
- [10] E. Chlebus, J. Helman, M. Olejarczyk, M. Rosienkiewicz, A new approach on implementing TPM in a mine –A case study. Archives of Civil and Mechanical Engineering 15 (4), 873-884 (2015).DOI: https://doi.org/10.1016/j.acme.2015.07.002.
- [11] J. Brodny, S. Alszer, J. Krystek, M. Tutak, Availability analysis of selected mining machinery. Archives of Control Sciences 27 (2), 197-209 (2017). DOI: https://doi.org/10.1515/acsc-2017-0012.
- [12] J. C. Gutiérrez-Diez, A. M. Castañón, M. Bascompta, New method to study the effectiveness of mining equipment: A case study of surface drilling rigs. Applied Sciences 14 (5), 2185 (2024).DOI: https://doi.org/10.3390/app14052185.
- [13] P. Odeyar, D.B. Apel, R. Hall, B. Zon, K. Skrzypkowski, A Review of reliability and fault analysis methods for heavy equipment and their components used in mining. Energies 15 6263 (2022).DOI: https://doi.org/10.3390/en15176263.
- [14] U. Bugarić, M. Tanasijević, M. Gomilanović, A. Petrović, M. Ilić, Analytical determination of the availability of a rotary excavator as a part of coal mining system: Case study: Rotary excavator SchRs800.15/1.5 of the Drmnoopen pit. Min. Metal Eng. Bor 3–4, 25–36 (2020). DOI: https://10.5937/mmeb2004025B.
- [15] F. Pavloudakis, C. Sachanidis, C. Roumpos, The Effects of Surface Lignite Mines Closure on the Particulates Concentrations in the Vicinity of Large-Scale Extraction Activities. Minerals 12 (3), 347 (2022).DOI: https://doi.org/10.3390/min12030347.
- [16] C. Roumpos, F. Pavloudakis, A. Liakoura, D. Nalmpanti, K. Arampatzis, Utilisation of Lignite Resources withinthe Context of a Changing Electricity Generation Mix,10th Jubilee Ιntl. Brown Coal Mining Congress: “Brown Coal Today and in the Future”, Belchatow, Poland, 16-18 Apr 2018.
- [17] C . Roumpos, F. Pavloudakis, M. Galetakis, Benchmarking and sustainability indicators for surface mining operations, 3rd Intl. Conf. on Sustainable Development Indicators in the Minerals Industry, Milos, Greece, 17-19 June2007.
- [18] P. Alves Dias, et al., EU coal regions: opportunities and challenges a head, EUR 29292 EN, Publications Office of the European Union, Luxembourg, JRC112593 (2018). DOI: https://doi.org/10.2760/064809.
- [19] M. Leonardos, The costly Greek lignite and the fossil fuels outlook, 6th Intl. Forum – Mineral Resources in Greece, Athens, Greece, 17 Jun 2016 (including text in Greek).
- [20] Project Management Institute, A Guide to the Project Management Body of Knowledge (6th ed.), 2017 Project Management Institute, Inc., Pennsylvania, USA.
- [21] K. Cooper, J.M. Lyneis, B.J. Bryant, Learning to learn, from past to future. Int. J. Proj. Manag., 20 (3), 213-219 (2002). DOI: https://doi.org/10.1016/s0263-7863(01)00071-0.
- [22] S. Duffield, S.J. Whitty, Developing a systemic lessons learned knowledge model for organisational learning through projects. Int. J. Proj. Manag. 33 (2), 311-324 (2015).DOI: https://doi.org/10.1016/j.ijproman.2014.07.004.
- [23] S.F. Rowe, Lessons learned: taking it to the next level. Project Management Institute® Global Congress 2007 –EMEA, Budapest, Hungary (2007).
- [24] E. Barroga, G.J. Matanguihan, A. Furuta, M. Arima, S. Tsuchiya, C. Kawahara, Y. Takamiya, M. Izumi, Conducting and Writing Quantitative and Qualitative Research. J. Korean Med. Sci. 38 (37), e291 (2023).DOI: https://doi.org/10.3346/jkms.2023.38.e291.
- [25] M. Ragab, A. Arisha, Research Methodology in Business: A Starter’s Guide. Management and Organisational Studies 5 (1), 1-23 (2018). DOI: https://doi.org/10.5430/mos.v5n1p1.
- [26] N . Manandhar, Reiterating rationale use of statistical tools in research articles. Journal of Kathmandu Medical College 8 (3), 119-121 (2019). DOI: https://doi.org/10.3126/jkmc.v8i3.29712.
- [27] S.H. Simpson, Creating a Data Analysis Plan: What to Consider When Choosing Statistics for a Study. Can. J. Hosp. Pharm. 68 (4), 311-317 (2015). DOI: https://doi.org/10.4212/cjhp.v68i4.1471.
- [28] F. Pavloudakis, C. Roumpos, Z. Agioutantis. Using Overall Equipment Effectiveness as a driver for improving the productivity of Continuous Mining Systems. Mining, Metallurgy & Exploration 41, 3177-3195 (2024).DOI: https://doi.org/10.1007/s42461-024-01096-x.
- [29] Z. Agioutantis, S. Delmadorou, N. Steiakakis, C. Steiakakis, S. Papaterpos, A real-time event-driven database productivity and maintenance planning tool for continuous surface mining operations. J. Mining and Mineral Engineering 10 (2-4), 177-188 (2019). DOI: https://doi.org/10.1504/ijmme.2019.104446.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dbaeebeb-24fc-41c7-aa69-097c81aba6a0
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