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A computer-aided application for modeling and monitoring operational and maintenance information in mining trucks

Treść / Zawartość
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Warianty tytułu
PL
Wspomagany komputerowo program do modelowania i monitoringu informacji dotyczących pracy i serwisowania górniczych pojazdów
Języki publikacji
EN
Abstrakty
EN
The combination of maintenance planning and key performance indicators are relevant to create a more holistic scenario of the mining activities. On the one hand, reliability and maintainability are system characteristics suitable for planning maintenance strategies. On the other hand, key performance indicators are suitable to analyze cost and resource consumption information about mining equipment. Nevertheless in practice, both approaches are modeled separately and frequently by different team-works of a mining company. With this in mind, a computer-aided application was conceived to drive with better efficacy the operational and maintenance strategy in a complex process where the equipment is in continuous movement such as the transportation process in an open-mine pit.
PL
Połączenie planowania eksploatacji i działań zabezpieczających i analizy głównych wskaźników wydajności stanowi podstawę opracowania holistycznego scenariusza prowadzenia prac wydobywczych. Z jednej strony mamy niezawodność i możliwość eksploatacji jako elementy charakterystyczne układu. Z drugiej strony, analiza podstawowych wskaźników wydajności wykorzystywana jest do obliczenia kosztów, zużycia zasobów przy wykorzystaniu sprzętu górniczego. W praktyce jednak, aspekty te modelowane są osobno, zazwyczaj przez różne zespoły badawcze w ramach kopalni. Mając to na uwadze, opracowano aplikację wspomaganą komputerowo dla generowania większej wydajności eksploatacji i prac zabezpieczających w ramach niezwykle złożonego procesu w którym sprzęt pozostaje w ciągłym ruchu, jak ma to miejsce w przypadku procesu transportu w kopalni odkrywkowej.
Rocznik
Strony
695--708
Opis fizyczny
Bibliogr. 30 poz., rys., tab., wykr.
Twórcy
autor
  • Universidad Técnica Federico Santa María, Carrera de Ingenieria en Diseño de Productos Av España 1680, Valparaíso, Chile
autor
  • Centro Cientifico Tecnológico de Valparaiso, Av. España 1680, Valparaíso, Chile
autor
  • Centro Cientifico Tecnológico de Valparaiso, Av. España 1680, Valparaíso, Chile
autor
  • Universidad Técnica Federico Santa María, Carrera de Ingenieria Civil Telematica, Av. España 1680, Valparaíso, Chile
Bibliografia
  • [1] Barberá L., Crespo A., Viveros P., Stegmaier R., 2014. A case study of GAMM (Graphical Analysis for Maintenance Management) applied to water pumps in a sewage treatment plant, Chile. Quality and Reliability Engineering International, 30(8), 1473-1480. DOI: 10.1002/qre.1549.
  • [2] Bartos P.J., 2007. Is mining a high-tech industry? Investigations into innovation and productivity advance. Resources Policy, 3, 149–158. DOI: 10.1016/j.resourpol.2007.07.001.
  • [3] Becattini N., Cascini G., 2013. Mapping Causal Relationships and Conflicts among Design Parameters and System Requirements. Computer-Aided Design and Applications, 10(4), 643-662. DOI: 10.3722/cadaps.2013.643-662.
  • [4] Becattini N., Borgianni Y., Cascini G., Rotini F., 2012. Model and algorithm for computer-aided inventive problem analysis. Computer-Aided Design, 44(10),961-986. DOI: 10.1016/j.cad.2011.02.013.
  • [5] Chew S.P., Dunnett S.J., Andrews J.D., 2008. Phased mission modelling of systems with maintenance-free operating periods using simulated Petri nets. Reliability Engineering & System Safety, 93(7), 980-994. DOI: 10.1016/j.ress.2007.06.001.
  • [6] CORFO, Mining Cluster in Chile-2010, available on-line at www.unido.org, last accessed January 2015.
  • [7] Gabbar H.A., Yamashita H., Suzuki K., Shimada Y., 2009. Computer-aided RCM-based plant maintenance management system. Robotics and Computer-Integrated Manufacturing, 19(5), 449-458. DOI: 10.1016/S0736-5845(03)00031-0.
  • [8] Garay V., Schwarz S., Donoso F., 2012. Informe Tendencias Mercado del Cobre-Balance 2011 y Perspectivas 2012-2013. COLCHICO-Dirección de estudios y politicas públicas.
  • [9] Gharbi A., Kenné J.P., Beit M., 2007. Optimal safety stocks and preventive maintenance periods in unreliable manufacturing systems. International Journal of Production Economics, 10(2), 422-434. DOI: 10.1016/j.ijpe.2006.09.018.
  • [10] Goldratt E., 1992. The goal: a process of ongoing improvement. North River Press, Great Barrington, Massachusetts. ISBN-10: 0566074176.
  • [11] Hilson G., 2000. Barriers to implementing cleaner technologies and cleaner production (CP) practices in the mining industry: a case study of the Americas. Minerals Engineering, 13(7), 699-717. DOI: 10.1016/S0892-6875(00)00055-8.
  • [12] Iung B., Marquez A.C., 2006. Special issue on e-maintenance. Computers in Industry, 57(6): 473-475. DOI: 10.1016/j.compind.2006.02.016.
  • [13] Jardine A.K., Lin D., Banjevic D., 2006. A review on machinery diagnostics and prognostics implementing condition-based maintenance. Mechanical systems and signal processing, 20(7), 1483-1510. DOI: 10.1016/j.ymssp.2005.09.012.
  • [14] Kahn J., Klemme-Wolf H. Overview of MIMOSA and the open system architecture for enterprise application integration. [In:] Proc. of COMADEM, p. 661-670.
  • [15] López-Campos M.A., Márquez A.C., Fernández J.F. G., 2013. Modelling using UML and BPMN the integration of open reliability, maintenance and condition monitoring management systems: An application in an electric transformer system. Computers in Industry, 64(5), 524-542. DOI: 10.1016/j.compind.2013.02.010.
  • [16] Macchi M., Kristjanpoller F., Garetti M., Arata A., Fumagalli L., 2012. Introducing buffer inventories in the RBD analysis of process production systems. Reliability Engineering & System Safety, 104, 84-95. DOI: 10.1016/j.ress.2012.03.015.
  • [17] Meller R.D., Kim D.S., 1996. The impact of preventive maintenance on system cost and buffer size. European Journal of Operational Research, 95(3), 577-591. DOI: 10.1016/0377-2217(95)00313-4.
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  • [19] Muller A., Marquez A.C., Iung B., 2008. On the concept of e-maintenance: Review and current research. Reliability Engineering & System Safety, 93(8): 1165-1187. DOI: 10.1016/j.ress.2007.08.006.
  • [20] Peterson D.J., LaTourrette T., Bartis J.T., 2001. New Forces at Work in Mining Industry: Views of Critical Technologies. Monograph/Reports, available on-line at www.rand.org, last accessed January 2015.
  • [21] Rábago K.R., Lovins A.B., Feiler T.E., 2001. Energy and sustainable development in the mining and minerals industries. IIED report, available on line at www.iied.org, last accessed January 2015.
  • [22] S.A. P. M., 2006. Manual General de Minería y Metalurgia. Antofagasta: Portal Minero Ediciones (In Spanish). ISBN: 9568514015.
  • [23] Sustainable Development Strategies Group, Report-2010: current issues in the Chilean mining sector, available on-line at www.sdsg.org, last accessed January 2015.
  • [24] Tilton J.E., Landsberg H.H., 1999. Innovation, productivity growth, and the survival of the US copper industry. Productivity in Natural Resource Industries; Improvement through Innovation, 109-139.
  • [25] Tsang A.H., 1995. Condition-based maintenance: tools and decision making. Journal of Quality in Maintenance Engineering, 1(3), 3-17. DOI: 10.1108/13552519510096350.
  • [26] Tulcanaza E., Ferguson G., 2001. The value of information: a guide to the strategic development of projects founded on mineral resource categorization. Transactions of the institution of mining and metallurgy section b-applied earth science; 110, b126-b135. DOI: 10.1179/aes.2001.110.3.126.
  • [27] Viveros P., Zio E., Kristjanpoller F., Arata A., 2012. Integrated system reliability and productive capacity analysis of a production line. A case study for a Chilean mining process. Proc. IMechE, Part O: J. Risk Reliability, 226(3), 305-317, DOI: 10.1177/1748006X11408675.
  • [28] Viveros P., Crespo A., Kristjanpoller F., Stegmaier R., Johns E., Gonzalez-Prida V., 2014. Probabilistic performance assessment for crushing system. A case study for a mining process. Probabilistic Safety Assessment and Management PSAM 12, June, Honolulu, Hawaii.
  • [29] Warhurst A. Bridge G,. 1996. Improving environmental performance through innovation: recent trends in the mining industry. Minerals Engineering, 9(9), 907-921. DOI: 10.1016/0892-6875(96)00083-0.
  • [30] Zio E., 2009. Reliability engineering: Old problems and new challenges. Reliability Engineering & System Safety, 94(2), 125-141. DOI: 10.1016/j.ress.2008.06.002.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f2cd13d8-1ab1-488d-aa93-b7458bce1b34
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