2013; 2(6): 158-166
Published online January 20, 2013 (http://www.sciencepublishinggroup.com/j/earth) doi: 10.11648/j.earth.20130206.17
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 Department of Mining Engineering, Federal University of Technology, Akure, Nigeria
email@example.com(Akande, J. M.), firstname.lastname@example.org(Lawal, A. I.), email@example.com(Aladejare, A. E.)
To cite this article:
Akande, Jide Muili; Lawal, Abiodun Ismail; Aladejare, Adeyemi Emman. Optimization of the Overall Equipment Efficiency (OEE) of Loaders and Rigid Frame Trucks in NAMDEB Southern Coastal Mine Stripping Fleet, Namibia. Earth Science. Vol. 2, No. 6, 2013, pp. 158-166. doi: 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.
Keywords: Optimization, OEE, Loaders, Trucks, Time motion, Availability, Performance and Quality
Assets have become more expensive to maintain and
operate, which has diminished the value of increased
production. In a 2009 investigation at the mine, Smart (2009) pointed out that the then present mine operation
shortcomings at Southern Coaster Mine (SCM) had
diminished desired stripping efficiencies, and that there is a challenge to “upgrade the stripping system”. This challenge still exists from the same roots today and has incited an
inquiry by mine management to meet it. However, obtaining
a figure of what stripping represents as a percentage of total mining cost at NAMDEB has as in a previous investigation
(Smart, 2009), proved futile and instead a hazarded guess
that it constitutes close to 50% thereof was used.
Delving deeper into the cost aspect, part of the two major
expense areas in any stripping operation are the functions of loading and hauling given typically as, 30 to 50% of the total mining cost and is related to hauling all material types out of the pit or to the waste backfill area (Hartman, 1992). This
said, it should give a superior understanding of financial
implications optimizing such an operation poses.
Adverse market conditions, environmental regulations
and a continually improving focus on safety are causing
mine managers to consider creative and proven methods to
determine effectiveness of their equipment so they can take
necessary steps to increase it and to reduce the total
production cost (Elevli and Elevli, 2010). This research is
such an attempt at a creative method to determine the
effectiveness of SCM stripping equipment with the addition
of recommendations to increase this effectiveness.
OEE is a universally accepted...
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