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Optimising production time of continuous miners at Goedehoop Colliery

Dissertation (B.Eng. (Industrial and Systems Engineering))--University of Pretoria, 2014.

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Main Author: Kraucamp, Yovanka
Other Authors: Breytenbach, Wynand
Format: Thesis
Language:English
Published: 2014
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access_status_str Open Access
author Kraucamp, Yovanka
author2 Breytenbach, Wynand
author_browse Breytenbach, Wynand
Kraucamp, Yovanka
author_facet Breytenbach, Wynand
Kraucamp, Yovanka
author_sort Kraucamp, Yovanka
collection Thesis
dc_rights_str_mv © 2014 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Dissertation (B.Eng. (Industrial and Systems Engineering))--University of Pretoria, 2014.
format Thesis
id oai:repository.up.ac.za:2263/33475
institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:37:45.339Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2014
publishDateRange 2014
publishDateSort 2014
record_format dspace
source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/33475 Optimising production time of continuous miners at Goedehoop Colliery Kraucamp, Yovanka Breytenbach, Wynand Optimisation Mining Production time Dissertation (B.Eng. (Industrial and Systems Engineering))--University of Pretoria, 2014. Anglo American and the rest of the mining landscape are confronted with a number of challenges such as the depressed economy and the relatively low selling price of coal. These affect profit margins. Anglo American changed its normal way of doing business by the implementation of the Asset Optimisation Programme. Major efforts focus on the optimisation and sustainability of the corporation’s resources, employees and equipment. The Continuous Miner (CM) is the most critical component in the underground coal mining process. An underground production section can only produce output if the CM is performing its primary function, namely to cut coal. In 2012, Goedehoop colliery's CMs operated only 35% of the total time available, and the colliery aims to improve it to 40%. The aim of the project is to improve the production time of the CMs at Goedehoop colliery. The Six Sigma DMAIC (Define, Measure, Analyse, Improve and Control) methodology was used as an approach to structure the project. The aim of the project was addressed by means of critical analysis together with other supplementary tools and techniques. Key Performance Indicators (KPIs) that had the most significant impact on the production time of the CMs were identified. It was identified that trunk conveyor downtime has a significant impact on the throughput of the process, as well as on the production time of the CMs. Solutions were proposed that will potentially improve and solve major causes of trunk conveyor downtime. It was estimated that a total of 162.88 hours (per year) on trunk conveyor downtime can possibly be reduced if the proposed solutions had to be implemented. This would result in a potential benefit of R 8 417 107.29 per year for Goedehoop colliery. In view of the initial project aim, this will equate to a potential 1.5% improvement in the production time of the CMs. Industrial and Systems Engineering unrestricted 2014-02-13T13:06:09Z 2014-02-13T13:06:09Z 2014-04-08 2014 Mini Dissertation Kraucamp, Y 2014, Optimising production time of continuous miners at Goedehoop Colliery, BEng dissertation, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/33475> http://hdl.handle.net/2263/33475 en © 2014 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf
spellingShingle Optimisation
Mining
Production time
Kraucamp, Yovanka
Optimising production time of continuous miners at Goedehoop Colliery
title Optimising production time of continuous miners at Goedehoop Colliery
title_full Optimising production time of continuous miners at Goedehoop Colliery
title_fullStr Optimising production time of continuous miners at Goedehoop Colliery
title_full_unstemmed Optimising production time of continuous miners at Goedehoop Colliery
title_short Optimising production time of continuous miners at Goedehoop Colliery
title_sort optimising production time of continuous miners at goedehoop colliery
topic Optimisation
Mining
Production time
url http://hdl.handle.net/2263/33475
work_keys_str_mv AT kraucampyovanka optimisingproductiontimeofcontinuousminersatgoedehoopcolliery