Estimating mine planning software utilization for decision-making strategies in the South African gold mining sector.

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dc.citation.epage152en_ZA
dc.citation.issue2en_ZA
dc.citation.spage145en_ZA
dc.contributor.authorGenc, B.
dc.contributor.authorMusingwini, C.
dc.contributor.authorCelik, T.
dc.date.accessioned2017-02-17T12:55:22Z
dc.date.available2017-02-17T12:55:22Z
dc.date.issued2015-02
dc.descriptionThe work presented in this paper is part of a PhD research study in the School of Mining Engineering at the University of the Witwatersrand.en_ZA
dc.description.abstractThis paper discusses a new methodology for defining and measuring mine planning software utilization in the South African gold mining sector within an evolving data-set framework. An initial data-set showing the mine planning software providers, their corresponding software solutions, as well as the software capabilities and information on the number of licences was collected and compiled in 2012 in an online database for software utilized in the South African mining industry. Details of the database development and implementation were published in the Journal of the Southern African Institute of Mining and Metallurgy in 2013. In 2014 the data-set was updated with additional and new information. Using the 2012 and 2014 timestamps, a methodology for estimating the software utilization was developed. In this methodology, the three variables of commodity, functionality, and time factor were used to define and measure the software utilization in order to ultimately inform decision-making strategies for optimal software utilization. Using six different functionalities, namely Geological Data Management, Geological Modelling and Resource Estimation, Design and Layout, Scheduling, Financial Valuation, and Optimization, utilization in the gold sector was measured. This paper presents the methodology employed for measuring the mine planning software utilization. The methodology is useful for stakeholders reviewing existing software combinations or intending to purchase new software in the near future and who want to estimate the comparative attractiveness of a certain software package. These stakeholders include mining companies, consulting companies, educational institutions, and software providers. The work presented in this paper is part of a PhD research study in the School of Mining Engineering at the University of the Witwatersrand.en_ZA
dc.description.librarianMvdH2017en_ZA
dc.description.urlhttp://www.saimm.co.za/publications/journal-papersen_ZA
dc.identifier.citationGenc, B., Musingwini, C. and Celik, T. 2015. Estimating mine planning software utilization for decision-making strategies in the South African gold mining sector. Journal of the Southern African Institute of Mining and Metallurgy. 115(2), pp. 145-152. http://www.saimm.co.za/Journal/v115n02p145.pdfen_ZA
dc.identifier.issn2225-6253
dc.identifier.urihttp://hdl.handle.net/10539/22067
dc.journal.titleJournal of the Southern African Institute of Mining and Metallurgy.en_ZA
dc.journal.volume115en_ZA
dc.language.isoenen_ZA
dc.publisherThe Southern African Institute of Mining and Metallurgy.en_ZA
dc.rights©This Journal provides immediate open access to its content on the principle that making research freely available to the public supports a greater global exchange of knowledge.en_ZA
dc.subjectDatabaseen_ZA
dc.subjectGold sectoren_ZA
dc.subjectMine planning softwareen_ZA
dc.subjectSoftware utilizationen_ZA
dc.subjectSouth African mining industryen_ZA
dc.subjectDecision makingen_ZA
dc.subjectResource estimationen_ZA
dc.subjectInformation managementen_ZA
dc.subjectGold minesen_ZA
dc.titleEstimating mine planning software utilization for decision-making strategies in the South African gold mining sector.en_ZA
dc.typeArticleen_ZA
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