Machine Performance Index (MPI): A Method to Evaluate the Performance of Mining Dumper

Jump To References Section

Authors

  • Research Scholar, Department of Mining Engineering, IIT (BHU), Varanasi and Suprakash Gupta, Professor, Department of Mining Engineering, IIT (BHU), Varanasi ,IN
  • Research Scholar, Department of Mining Engineering, IIT (BHU), Varanasi and Suprakash Gupta, Professor, Department of Mining Engineering, IIT (BHU), Varanasi ,IN
  • Research Scholar, Department of Mining Engineering, IIT (BHU), Varanasi and Suprakash Gupta, Professor, Department of Mining Engineering, IIT (BHU), Varanasi, ,IN

Keywords:

Dumper; OEE; Performance; weightage; AHP, MPI.

Abstract

Efficiency and effectiveness of equipment play a dominant role in modern mining industry to determine the performance of mining equipment as well as mines. Greater the efficiency and effectiveness more productive is the organization (mine). As it is known that mining industry is a very capital intensive industry. Hence, a proper performance measurement is very necessary in this field. Since last many years, overall equipment effectiveness (OEE) has been used in different industries as a measure of performance, but due to limitations in the original OEE, it has been modified continuously time to time by different researchers and practitioners in the different field accordingly. Since, last two decades OEE has also been used in mining industry. This research assigns different weightage to different components by using analytical hierarchy process (AHP), and thereby determines the weighted OEE i.e., machine performance index (MPI). The main purpose of assigning the weightage is to show the influence of each component in the evaluation of OEE. In original OEE, the weightage given to each component was equal which was not justifiable logically. To check the applicability of this new method, a case study was done on dumper in an opencast coal mine of India.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Downloads

Published

2022-10-20

How to Cite

Yadav, P. K., Gupta, S., & Kumar, D. (2022). Machine Performance Index (MPI): A Method to Evaluate the Performance of Mining Dumper. Journal of Mines, Metals and Fuels, 67(6), 320–325. Retrieved from https://informaticsjournals.com/index.php/jmmf/article/view/31567

Issue

Section

Articles

 

References

Nakajima S. (1988): Introduction to TPM, Productivity Press. Cambridge, MA.

SEMI, Standard for Definition and Measurement of Equipment Productivity, SEMI E79-0200, 2000 (Semiconductor Equipment and Material International: Mt. View, CA)

SEMI, Standard for Definition and Measurement of Equipment Reliability, Availability and Maintainability, SEMI E10-0701, 2001 (Semiconductor Equipment and Material International: Mt. View, CA).

Ames, V.A., Gililland, J., Konopka, A. and Barber, H. (1995): Semiconductor Manufacturing Productivity; Overall Equipment Effectiveness (OEE) Guidelines, Technology transfer #950327443 A-GEN, Revision 1.0 (Sematech)

Ljundberg, O. (1998): Measurement of overall equipment effectiveness for TPM activities. Internation Journal of Operations and Production Management, 18, 495-507.

Saaty T.L. (1990): Multicriteria Decision Making: The Analytic Hierarchy Process. RWS Publications.

Muchiri, P. and Liliane P. (2008): Performance measurement using overall equipment effectiveness (OEE): literature review and practical application discussion. International Journal of Production Research, vol 46, no.13 pp: 3517-3535.

Godfrey, P. (2002): Overall equipment effectiveness. Manufacturing Engineering. Vol. 81, No. 3, pp.109-112.

Mckone, K.E.and Schorder, R.G. (1999). Total productive maintenance: a contextual view. Journal of Operations Management. Vol. 17, pp.123-144.

Prickett P. W. (1998): An Integrated Approach to Autonomous Maintenance Management. Integrated Manufacturing Systems. vol.18 iss.5, p.g. 495.

Jonsson, P. and Lesshammar, M. (1999): Evaluation and improvement of manufacturing performance measurement systems – the role of OEE. International Journal of Operations & Production Management. Volume 19, Issue 1, pp. 55-78.

Ki-Young Jeong; Don T Phillips (2001): Operational efficiency and effectiveness measurement. International Journal of Operations and Production Management. Vol.21 Iss:11, pp.1404-1416.

Ljungberg O. (2001): Measurement of Overall Equipment Effectiveness as a Basis for TPM Activities. International Journal of Operations & Production Management. Vol.21 no.11, p.g. 1404.

Bamber C.J. Castka P., Sharp J.M. and Motara Y. (2003): Cross-functional Team Working for Overall Equipment Effectiveness. Journal of Quality in Maintenance Engineering. Vol. 9 no.3, pg.223.

Raouf, A. (1994): Improving Capital Productivity Through Maintenance. International Journal of Operations & Production Management. 14(7), 44-52.

Scott D. and Pisa R. (1998): Can Overall Factory Effectiveness Prolong Moore’s Law? Solid State Technology. Vol 41, No 3, pp 75-82.

Ivancic, I. (1998): Development of Maintenance in Modern Production, Euro maintenance. Conference, Dubrovnik, Hrvatska, October 5-7, 1998. Proceedings of 14th European Maintenance Conference.

Huang S.H., Dismukes J.P, Mousalam A., Razzak R.B. and Robinson D.E. (2003): Manufacturing Productivity improvement using effectiveness metrics and simulation analysis. International Journal of Production Research. Vol 41, No. 3 Pg 513 ¡V 527.

Badiger, A.S., and Gandhinathan, R. (2008): A proposal: evaluation of OEE and impact of six big losses on equipment earning capacity. International Journal of Process Management and Benchmarking. Vol. 2, No. 3, pp.234-248.

Wudhikarn, R. (2010): Overall weighting equipment effectiveness. In Industrial Engineering and Engineering Management (IEEM). IEEE International Conference on, IEEE, 2010, pp. 23-27.

Elevli, S. and B. Elevli (2010). Performance Measurement of Mining Equipment by Utilizing OEE. Acta Montanistica Slovaca Rocnik. 15(2): 95-101.

Mohammadi M., Rai, P., and Gupta S. (2017): Performance evaluation of bucket based Excavating, Loading and Transport (BELT) equipment – An OEE approach. Arch. Min. Sci. 62, 1, 105-120.

Yadav P.K. and Gupta S. (2017): Performance Measurement of Mining Equipment- A State of the Art. International Conference on Deep Excavation, Energy Resources and Production, 24-26 January, 2017, IIT Kharagpur, India.

Saaty TL. (1980): The analytic hierarchy process: planning, priority setting and resource allocation. NY, McGraw-Hill.