Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia

Akande; Jide Muili; Lawal; Abiodun Ismail; Aladejare; Adeyemi Emman

doi:doi:10.11648/j.earth.20130206.17

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Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia

Akande, Jide Muili, Lawal, Abiodun Ismail, Aladejare, Adeyemi Emman

Published in Earth Sciences (Volume 2, Issue 6)

Received: 8 September 2013 Accepted: Published: 20 January 2013

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Abstract

This research work investigates optimization of the overall equipment efficiency (OEE) of loaders and rigid frame trucks in Southern Coastal Mine Stripping fleet of Namibia. The objectives of the research were achieved through direct observation and recording in a natural setting. The collected data were duration of various cycle loss times components, loader and truck cycle times. The primary source of data is a time motion study conducted over day shifts. The secondary source is existing data from the mine. The collected data were recorded in print and transferred to corresponding digital spread sheet format in the Microsoft Excel® package for more efficient calculation and analysis. The results of the analyses revealed that OEE estimated for truck operation is 63.12% while that of loader is 24.4%. The estimated availability for truck by OEE is 60.67% while that of loader is 43.30% against the bench mark of 90%, the estimated performance for truck by OEE is 94.58% while that of loader is 59.94% against the bench mark of 90% and the estimated quality for truck by OEE is 110% while that of loader is 94% against the bench mark of 95%. From an availability perspective, queuing and bunching of trucks should be minimized.

Published in	Earth Sciences (Volume 2, Issue 6)
DOI	10.11648/j.earth.20130206.17
Page(s)	158-166
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Optimization, OEE, Loaders, Trucks, Time motion, Availability, Performance and Quality

References

[1]	Smart, K. (2009) "MA1 (Mining Area One) – Southern Coastal mine – Focus on stripping," Barloworld Equipment, Oranjemund.
[2]	Hartman, H. L. (1992): SME Mining Engineering Handbook 2nd Edition Volume 1, Colorado: Society for Mining, Metallurgy, and Exploration, Inc.
[3]	Elevli, S. and Elevli, B. (2010): "Performance Measurement of Mining Equipments by Utilizing," Acta Montanistica Slovaca Rocník, vol. 15, no. 2, pp. 95-101, 2010.
[4]	OEE Standard (2012): "OEE Industry Standard," [Online]. Available: http://www.oeestandard.com. [Accessed 20 11 2012].
[5]	Impact, O. (2012): "OEE Fequently Asked Questions," [Online]. Available:
[6]	http://www.oeeimpact.com/oee_faq.htm. [Accessed 21 11 2012].
[7]	ATS International B. V. (2010): White Paper on Overall Equipment Effectiveness (OEE) for Various Industries. ATS MES Excellence Centres.
[8]	INS Research (2012): "Overall Equipment Effectiveness," INS Research, [Online]. Available: http://blog.lnsresearch.com/blog/bid/155988/Overall-Equipment-Effectivness. [Accessed 16 11 2012].
[9]	Zemestani, G. (2011): "Evaluating the Overall Effectiveness of Production Equipment and Machinery," American Journal of Scientific Research, no. 31, pp. 59-68, 2011.
[10]	Automation World (2012): "OEE facts," Automation World, [Online]. Available: http://www.automationworld.com/operations/oee-facts. [Accessed 20 09 2012].
[11]	Williamson, R. M. (2012): "Don’t Be Misled by O.E.E.," Strategic Work Systems, Inc., 2004. [Online]. Available: www.swspitcrew.com. [Accessed 21 11 2012].
[12]	Burt, C., Caccetta, L., Hill, S. and Welgama, P. (2005): "Models for Mining Equipment Selection," Rio Tinto Technical Services, Perth.
[13]	Assakkaf, I. (2003): Trucks and Hauling Equipment, Maryland.
[14]	Komatsu (2008): Komatsu HD325-7 Off-Highway truck manual, Japan: Komatsu, 2008.

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Akande, Jide Muili, Lawal, Abiodun Ismail, Aladejare, et al. (2013). Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Sciences, 2(6), 158-166. https://doi.org/10.11648/j.earth.20130206.17

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ACS Style

Akande; Jide Muili; Lawal; Abiodun Ismail; Aladejare, et al. Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Sci. 2013, 2(6), 158-166. doi: 10.11648/j.earth.20130206.17

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AMA Style

Akande, Jide Muili, Lawal, Abiodun Ismail, Aladejare, et al. Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Sci. 2013;2(6):158-166. doi: 10.11648/j.earth.20130206.17

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@article{10.11648/j.earth.20130206.17,
  author = {Akande and Jide Muili and Lawal and Abiodun Ismail and Aladejare and Adeyemi Emman},
  title = {Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia},
  journal = {Earth Sciences},
  volume = {2},
  number = {6},
  pages = {158-166},
  doi = {10.11648/j.earth.20130206.17},
  url = {https://doi.org/10.11648/j.earth.20130206.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20130206.17},
  abstract = {This research work investigates optimization of the overall equipment efficiency (OEE) of loaders and rigid frame trucks in Southern Coastal Mine Stripping fleet of Namibia. The objectives of the research were achieved through direct observation and recording in a natural setting. The collected data were duration of various cycle loss times components, loader and truck cycle times. The primary source of data is a time motion study conducted over day shifts. The secondary source is existing data from the mine. The collected data were recorded in print and transferred to corresponding digital spread sheet format in the Microsoft Excel® package for more efficient calculation and analysis. The results of the analyses revealed that OEE estimated for truck operation is 63.12% while that of loader is 24.4%. The estimated availability for truck by OEE is 60.67% while that of loader is 43.30% against the bench mark of 90%, the estimated performance for truck by OEE is 94.58% while that of loader is 59.94% against the bench mark of 90% and the estimated quality for truck by OEE is 110% while that of loader is 94% against the bench mark of 95%. From an availability perspective, queuing and bunching of trucks should be minimized.},
 year = {2013}
}

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TY  - JOUR
T1  - Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia
AU  - Akande
AU  - Jide Muili
AU  - Lawal
AU  - Abiodun Ismail
AU  - Aladejare
AU  - Adeyemi Emman
Y1  - 2013/01/20
PY  - 2013
N1  - https://doi.org/10.11648/j.earth.20130206.17
DO  - 10.11648/j.earth.20130206.17
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 158
EP  - 166
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20130206.17
AB  - This research work investigates optimization of the overall equipment efficiency (OEE) of loaders and rigid frame trucks in Southern Coastal Mine Stripping fleet of Namibia. The objectives of the research were achieved through direct observation and recording in a natural setting. The collected data were duration of various cycle loss times components, loader and truck cycle times. The primary source of data is a time motion study conducted over day shifts. The secondary source is existing data from the mine. The collected data were recorded in print and transferred to corresponding digital spread sheet format in the Microsoft Excel® package for more efficient calculation and analysis. The results of the analyses revealed that OEE estimated for truck operation is 63.12% while that of loader is 24.4%. The estimated availability for truck by OEE is 60.67% while that of loader is 43.30% against the bench mark of 90%, the estimated performance for truck by OEE is 94.58% while that of loader is 59.94% against the bench mark of 90% and the estimated quality for truck by OEE is 110% while that of loader is 94% against the bench mark of 95%. From an availability perspective, queuing and bunching of trucks should be minimized.
VL  - 2
IS  - 6
ER  -

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Author Information

Akande
Jide Muili
Lawal
Abiodun Ismail
Aladejare
Adeyemi Emman

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Plain Text BibTeX RIS

APA Style

Akande, Jide Muili, Lawal, Abiodun Ismail, Aladejare, et al. (2013). Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Sciences, 2(6), 158-166. https://doi.org/10.11648/j.earth.20130206.17

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ACS Style

Akande; Jide Muili; Lawal; Abiodun Ismail; Aladejare, et al. Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Sci. 2013, 2(6), 158-166. doi: 10.11648/j.earth.20130206.17

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AMA Style

Akande, Jide Muili, Lawal, Abiodun Ismail, Aladejare, et al. Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Sci. 2013;2(6):158-166. doi: 10.11648/j.earth.20130206.17

Copy | Download

@article{10.11648/j.earth.20130206.17,
  author = {Akande and Jide Muili and Lawal and Abiodun Ismail and Aladejare and Adeyemi Emman},
  title = {Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia},
  journal = {Earth Sciences},
  volume = {2},
  number = {6},
  pages = {158-166},
  doi = {10.11648/j.earth.20130206.17},
  url = {https://doi.org/10.11648/j.earth.20130206.17},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20130206.17},
  abstract = {This research work investigates optimization of the overall equipment efficiency (OEE) of loaders and rigid frame trucks in Southern Coastal Mine Stripping fleet of Namibia. The objectives of the research were achieved through direct observation and recording in a natural setting. The collected data were duration of various cycle loss times components, loader and truck cycle times. The primary source of data is a time motion study conducted over day shifts. The secondary source is existing data from the mine. The collected data were recorded in print and transferred to corresponding digital spread sheet format in the Microsoft Excel® package for more efficient calculation and analysis. The results of the analyses revealed that OEE estimated for truck operation is 63.12% while that of loader is 24.4%. The estimated availability for truck by OEE is 60.67% while that of loader is 43.30% against the bench mark of 90%, the estimated performance for truck by OEE is 94.58% while that of loader is 59.94% against the bench mark of 90% and the estimated quality for truck by OEE is 110% while that of loader is 94% against the bench mark of 95%. From an availability perspective, queuing and bunching of trucks should be minimized.},
 year = {2013}
}

Copy | Download

TY  - JOUR
T1  - Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia
AU  - Akande
AU  - Jide Muili
AU  - Lawal
AU  - Abiodun Ismail
AU  - Aladejare
AU  - Adeyemi Emman
Y1  - 2013/01/20
PY  - 2013
N1  - https://doi.org/10.11648/j.earth.20130206.17
DO  - 10.11648/j.earth.20130206.17
T2  - Earth Sciences
JF  - Earth Sciences
JO  - Earth Sciences
SP  - 158
EP  - 166
PB  - Science Publishing Group
SN  - 2328-5982
UR  - https://doi.org/10.11648/j.earth.20130206.17
AB  - This research work investigates optimization of the overall equipment efficiency (OEE) of loaders and rigid frame trucks in Southern Coastal Mine Stripping fleet of Namibia. The objectives of the research were achieved through direct observation and recording in a natural setting. The collected data were duration of various cycle loss times components, loader and truck cycle times. The primary source of data is a time motion study conducted over day shifts. The secondary source is existing data from the mine. The collected data were recorded in print and transferred to corresponding digital spread sheet format in the Microsoft Excel® package for more efficient calculation and analysis. The results of the analyses revealed that OEE estimated for truck operation is 63.12% while that of loader is 24.4%. The estimated availability for truck by OEE is 60.67% while that of loader is 43.30% against the bench mark of 90%, the estimated performance for truck by OEE is 94.58% while that of loader is 59.94% against the bench mark of 90% and the estimated quality for truck by OEE is 110% while that of loader is 94% against the bench mark of 95%. From an availability perspective, queuing and bunching of trucks should be minimized.
VL  - 2
IS  - 6
ER  -

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