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Performance evaluation of bucket based excavating, loading and transport (BELT) equipment – an OEE approach

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PL
Ocena działania systemu złożonego z urządzeń do urabiania, załadunku oraz transportu – podejście oparte o całościową ocenę efektywności
Języki publikacji
EN
Abstrakty
EN
Overall Equipment Effectiveness (OEE) has been used since last over two decades as a measure of performance in manufacturing industries. Unfortunately, enough, application of OEE in mining and excavation industry has not been duly adopted. In this paper an effort has been made to identify the OEE for performance evaluation of Bucket based Excavating, Loading and Transport (BELT) equipment. The conceptual model of OEE, as used in the manufacturing industries, has been revised to adapt to the BELT equipment. The revised and adapted model considered the operational time, speed and bucket capacity utilization losses as the key OEE components for evaluating the performance of BELT equipment. To illustrate the efficacy of the devised model on real-time basis, a case study was undertaken on the biggest single bucket excavating equipment – the dragline, in a large surface coal mine. One-year data was collected in order to evaluate the proposed OEE model.
PL
Podejście oparte o całościową ocenę efektywności używane jest od ponad dwóch dekad w analizach skuteczności działania urządzeń w przemyśle wytwórczym. Niestety podejście to nie zostało szeroko przyjęte w przemyśle górniczym. W pracy tej podjęto próbę dokonania całościowej oceny efektywności pracy układu złożonego ze sprzętu do urabiania, załadunku (koparki) oraz transportu. Model koncepcyjny podejścia całościowej oceny stosowany dotychczas w przemyśle wytwórczym został zaadaptowany by uwzględniać specyfikę systemów urabiania, ładowania i transportu. Odpowiednio zmodyfikowany model uwzględnia czas pracy układu, tempo pracy, spadek ładowności koparki i spowodowane w ten sposób straty, umożliwiając dokonanie całościowej oceny wydajności pracy systemu. Poprawność opracowanego modelu działającego w czasie rzeczywistym zbadano na przykładzie systemu do urabiania, załadunku i transportu wykorzystywanego w dużej kopalni odkrywkowej węgla. Do oceny poprawności modelu wykorzystano zebrane dane obejmujące cały rok pracy urządzeń.
Rocznik
Strony
105--120
Opis fizyczny
Bibliogr. 38 poz., rys., tab., wykr.
Twórcy
autor
  • Department of Mining Engineering, Islamic Azad University, Sirjan Branch, Sirjan, Iran & Former Research Scholar, Department of Mining Engineering, Iit(Bhu), Varanasi, India
autor
  • Department of Mining Engineering, Iit (BHU), Varanasi, India
autor
  • Department of Mining Engineering, Iit (BHU), Varanasi, India
Bibliografia
  • [1] Anvari F., Edwards R., Starr A., 2010. Methodology and theory evaluation of overall equipment effectiveness based on market. JQME, 16 (3), 256-270.
  • [2] Barabady J., 2007. Production Assurance, Concept, Implementation and Improvement. Ph.D. diss., Lulea University of Technology.
  • [3] Central Mine Planning and Design (CMPDI), 2000. Norms and methodology for the calculation of the productivity of excavators and dumpers. Singrauli, India.
  • [4] Dal B., Tugwell P., Greatbanks R., 2000. Overall equipment effectiveness as a measure of operational improvement: a practical analysis. IJOPM 20, 12, 1488-1502.
  • [5] De Ron A.J., Rooda J.E., 2006. OEE and equipment effectiveness: an evaluation. International Journal of Production Research 44, 23, 4987-5003.
  • [6] Dhillon B.S., 2008. Mining Equipment Reliability, Maintainability, and Safety. Springer-Verlag London Limited, London.
  • [7] Doktan M., 2001. Impact of Blast Fragmentation on Truck Shovel Fleet Performance. 17th International Mining Congress and Exhibition of Turkey, 375-380.
  • [8] Elevli S., Elevli B., 2010. Performance Measurement of Mining Equipments by Utilizing OEE. Acta Montanistica Slovaca Ročník, 15 (2), 95-101.
  • [9] Emery J.C., 1998. Improving coal mining production performance through the application of Total Production Management. Coal Operators’ Conference, University of Wollongong, 71-80.
  • [10] Erdem B., Baskan D.H.F., 2005. Dragline cycle time Analysis. JSIR, 64, 19-29.
  • [11] Erdem B., Korkmaz F., 2012. Analysis of Dragline cycle time components. J Min Sci+ 48, 545-558.
  • [12] Gupta S., Bhattacharaya J., 2012. Aspect of reliability and maintainability in bulk material handling system design and factors of performance measures. In: Design and selection of bulk material handling equipment and systems: mining, mineral processing, port, plant and excavation engineering, edited by Bhattacharaya J., Wide publishing, Kolkata, 154-188.
  • [13] Jeong K.Y., Phillips D.T., 2001. Operational efficiency and effectiveness measurement. IJOPM 21, 11, 1404-1416.
  • [14] Jonsson P., Lesshammar M., 1999. Evaluation and improvement of manufacturing performance measurement system: the role of OEE. IJOPM 19, 1, 55-78. Kumar U., 1988.
  • [15] Reliability technique: A powerful tool for mine operators. Mineral Resource Engineering, vol. 1, 13-28.
  • [16] Kumar U., 1989. Availability studies of Load-Haul-Dump machines. Proceeding of 21st Application Operation Research and Computers in Mineral Industry, SME, AIME, Las Vegas, USA, 323-335.
  • [17] Kumar U., 1990. Reliability analysis of Load-Haul-Dump machines. Ph.D. diss., Lulea university of technology, Sweden. Kumar U., 1998. Maintenance Strategies for Mechanized and Automated Mining System: A Reliability and Risk Analysis Based Approach. Journal of Mines, Metals & Fuels, 343-347.
  • [18] Mena R., Zio E., Kristjanpoller F., Arata A., 2013. Availability based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraints. IJMST 23, 1, 113-119.
  • [19] Mirabediny H., 1998. A dragline simulation model for strip mine design and development. Ph.D. diss., University of Wollongong, Australia.
  • [20] Misra G.B., 1979. Surface Mining. Dhanbad publishers, Dhanbad, India.
  • [21] Misra G.B., 2006. Surface Mining. Geominetech Publisher, Bhubaneswar, India.
  • [22] Mohammadi M., Rai P., 2015. Improving Performance of Mining Equipment Through Enhancement of Speed Factor – a case study. Internatinal Journal of Engineering (IJE) 28, 9, 343-352.
  • [23] Nakajima S., 1988. Introduction to TPM – total productive maintenance. Productivity Press, Cambridge.
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  • [25] Osanloo M., Hekmat A., 2005. Prediction of shovel productivity in the Gol-e-Gohar iron mine. J. Min. Sci+ 41, 2, 177-184.
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  • [27] Rai P., 1992. Dragline and shovel-dumper operations in opencast mines. MTech. diss., Department of Mining Engineering, Banaras Hindu University, Varanasi, India.
  • [28] Rai P., Trivedi R., Nath R., 2000. Cycle time and idle time analysis of draglines for increased productivity- a case study. IJEMS 7, 6, 77.
  • [29] Rai P., 2004. Performance assessment of draglines in open cast mines. IJEMS 11, 493-498.
  • [30] Rai P., 2007. A Critical Case Study on Draglines Operating in Vertical Tandem in a Coal Mine. Journal of the Institution of Engineers (India) 87, 3-9.
  • [31] Rai P., Yadav U., Kumar A., 2011. Productivity analysis of draglines operating in horizontal tandem mode of operation in coal mine – A case study. Geotech. Geol. Eng. 29, 493-504.
  • [32] Rodigo M., Enrico Z., Fredy K., Adolfo A., 2013. Availability-based simulation and optimization modeling framework for open-pit mine truck allocation under dynamic constraint. IJMST 23, 113-119.
  • [33] Samanta B., Banerjee J., 2004. Improving Productivity of Mining machinery through Total Productive Management. theammj.com/262pdf/tpmforproductivity.pd.
  • [34] Sarnathan T., 1979. Optimum utilization of planets and equipment in Nandini Limestone mine. JMM&F 1, 2, 21-26.
  • [35] Tsarouhas P.H., 2013. Evaluation of overall equipment effectiveness in the beverage industry: a case study. IJPR 51, 2, 515-523.
  • [36] Wibowo H., 2012. Analysis Overall Equipment Effectiveness in improving productivity in the machine processing creeper hammer mill crumb rubber. IJES 3, 2, 52-60.
  • [37] Zandieh S., Nilipuor Tabatabaei S.A., Ghandehary M., 2012. Evaluation of overall equipment effectiveness in a continuous process production system of condensate stabilization plant in Assalooyeh. IJCRB 3, 10, 590-598.
  • [38] Zoltan W., 1999. Standardization of Definitions for Benchmarking. MTech. diss., Department of Mining and Petroleum Engineering, University of Alberta.
Uwagi
PL
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę (zadania 2017)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9e0df4ad-839d-4dda-86f5-08a47d6d044b
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