Application of MCDA in selection of different mining methods and solutions

• Autorzy: Stevanović Dejan , Lekić Milena , Kržanović Daniel , Ristović Ivica

Identyfikatory

DOI

10.12913/22998624/85804

• Języki publikacji: EN

Abstrakty

EN

As mine planning is one of the most complicated steps, which depends on a lot of factors as geology, economy etc., consequently, the decision-making process is difficult, due to the existence of a lot of factors for choosing the optimal mining system. In this paper, the method and the result of Analytical Hierarchical Process is presented, shown on a case study – Open pit Drmno, as one of the largest lignite mines in Serbia. The analysis included 6 criteria and two alternatives were applied as Variant 1 and Variant 2. The results show that the suitable mining system for this case study – open pit Drmno is Variant 2.

Słowa kluczowe

EN

mining systems; mining equipment; excavation; analytical hierarchy; process

PL

systemy wydobywcze; sprzęt górniczy; wykop; analityczna hierarchia; proces

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2018
• Tom: Vol. 12, no 1
• Strony: 171--180
• Opis fizyczny: Bibliogr. 28 poz., fig., tab.

Twórcy

autor

Stevanović Dejan

• Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia

autor

Lekić Milena

• Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia

autor

Kržanović Daniel

• Mining and Metallurgy Institute Bor, Zeleni bulevar 35 19210 Bor, Serbia

autor

Ristović Ivica

• Faculty of Mining and Geology, Djusina 7, 11000 Belgrade, Serbia

Bibliografia

• 1. Feasibility study with a project of providing the required quantities of coal for the operation of the existing power plants in the “TE-KO” Kostolac and the new block B3 (350MW), Faculty of Mining and Geology, Belgrade, 2013
• 2. Scott B., Ranjith P.G., Choi K. and Khandelwa, M. A review on existing opencast mining methods within Australia, Journal of Mining Science 46, 2010, 280–297.
• 3. Wescott P. The Inaugural UNSW/ Mitsubishi Lecture: Dragline or Truck and Shovel? -Some technical and business considerations. Presented to the School of Mining Engineering, University of New South Wales, May 2004.
• 4. Westcott P., Pitkin G. and Aspinall T. Open-cut mining. In: Australasian Coal Mining Practice, Chapter 18, Monograph 12, Third Edition, Eds. Kininmonth, R.J and Baafi, E.Y. 2009, 410–458, AusIMM, Melbourne, Victoria, Australia
• 5. Samanta B., Sarkar B. and Mukherjee S.K. Selection of Opencast Mining Equipment by Multi-Criteria Decision-Making Process, Mining Technology, Maney Publishing, 111, 2002, 136–142.
• 6. Basçetin A. Decision support system for optimal equipment selection in open pit mining: analytical hierarchy process, Istanbul University. Müh. Fak. Yerbilimleri Dergisi, 16, 2003, 1–11.
• 7. Bazzazi A.A., Osanloo M. and Karimi B. A new fuzzy multi criteria decision making model for open pit mines equipment selection, 2011, Asia- Pacific Journal of Operational Research, 28, 2011, 279–300.
• 8. Christina B. and Caccetta L. Equipment Selection for Surface Mining: A Review- Draft paper, Department of Mathematics and Statistics, University of Melbourne, Melbourne, Australia, Department of Mathematics and Statistics, Curtin University of Technology, Bentley, Australia, 2013.
• 9. Fedorko G., Molnar V., Dovica M., Toth T. and Kopas M. Analysis of pipe conveyor belt damaged by thermal wear, Eng. Fail. Anal., 45, 2014, 41–48.
• 10. Fedorko G., Molnar V., Grincova A., Dovica M., Toth T., Husakova N., Taraba V. and Kelemen M. Failure analysis of irreversible changes in the construction of rubber-textile conveyor belt damaged by sharp-edge material impact, Eng. Fail. Anal., 39, 2014, 135–148.
• 11. Molnar V., Fedorko G.; Stehlikova B. and Paulikova A. Influence of tension force asymmetry on distribution of contact forces among the conveyor belt and idler rolls in pipe conveyor during transport of particulate solids, Measurement, 63, 2015, 120–127.
• 12. Klepka T., Debski H. and Rydarowski H.Characteristics of high-density polyethylene and its properties simulation with use of finite element method, Polimery, 54, 2009, 668–672.
• 13. Jachowicz T. and Sikora R. Methods of forecasting of the changes of polymeric products properties, Polimery, 51, 2006, 177–185.
• 14. Lizotte. Y. Economic and Technical Relations Between Open Pit Design and Equipment Selection, Mine Planning and Equipment Selection. Singhal (Ed.). Balkema. Rotterdam, 1988.
• 15. Sharma N.K., An Alternative Approach to Procurement of Equipment: Coal India’s Experience, International Conference on the Management of Mining Machinery, MGMI, Calcutta, India, 8–9 July, 1999.
• 16. Bozorgebrahimi E., Hall R. A. and Blackwell G. H. Sizing equipment for open pit mining – a review of critical parameters, Min. Tech. (Trans. Inst. Min. Metall), 112, 2003, A171-A179.
• 17. Aykul H., Yalcın E., Ediz I.G., Dixon-Hardy D.W. and Akcakoca H. Equipment selection for high selective excavation surface coal mining, The Journal of The Southern African Institute of Mining and Metallurgy, 107, 2007, 195–210.
• 18. Saaty T. The Analytical Hierarchy Process; Mc- Graw-Hill: New York, NY, USA., 1980.
• 19. Saaty T. Axiomatic foundation of the analytic hierarchy process. Manag. Sci., 32, 1986, 841–855.
• 20. Alphonce C.B. Application of the Analytic Hierarchy Process in Agriculture in Developing Countries. Agric. Syst., 53, 1997, 97–112.
• 21. Harker P.T. and Vargas, L.G. The theory of ratio scale estimation: Saaty’s Analytic hierarchy process. Manag. Sci., 33, 1987, 1383–1403.
• 22. Ataei M., Jamshidi M., Sereshki F. and Jalali, S.M.E. Mining method selection by AHP approach, Journal of the Southern African Institute of Mining and Metallurgy, 108, 2008, 741–749.
• 23. Bimal S., Sarkar B. and Mukherjee S. K. Selection of opencast mining equipment by a multi-criteria decision-making process, Mining Technology, Transactions of the Institutions of Mining and Metallurgy: Section A, Technical notes, 111, 2013,
• 24. Dağdeviren M., Decision making in equipment selection: an integrated approach with AHP and PROMETHEE, Journal of Intelligent Manufacturing, 19, 2008, 397–406.
• 25. Kazakidis V.N., Mayer Z. and Scoble M.J. Decision making using the analytic hierarchy process in mining engineering, Mining Technology, Transactions of the Institutions of Mining and Metallurgy: Section A, 113, 2013, 30–42.
• 26. Milentijević G., Nedeljković B., Lekić M., Nikić Z., Ristović I. and Djokić J. Application of a Method for Intelligent Multi-Criteria Analysis of the Environmental Impact of Tailing Ponds in Northern Kosovo and Metohija, Energies, 9, 2016, 935–951.
• 27. Milisavljević V., Medenica D., Čokorilo V. and Ristović I. New approach to equipment quality evaluation method with distinct functions, 20, 2016, 743–752.
• 28. Mu E. and Pereyra-Rojas M. Practical Decision Making, Chapter 2, Understanding the Analytic Hierarchy Process, SpringerBriefs in Operations Research, 2017.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).