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

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dc.contributor.author Genc, B.
dc.contributor.author Musingwini, C.
dc.contributor.author Celik, T.
dc.date.accessioned 2017-02-16T09:44:10Z
dc.date.available 2017-02-16T09:44:10Z
dc.date.issued 2016-03
dc.identifier.citation Genc, B., Musingwini, C. and Celik, T. 2016. Estimating mine planning software utilization for decision-making strategies in the South African coal mining sector. Journal of the Southern African Institute of Mining and Metallurgy 116(3), pp. 221-227. http://dx.doi.org/10.17159/2411-9717/2016/v116n3a2 en_ZA
dc.identifier.issn 2225-6253
dc.identifier.uri http://hdl.handle.net/10539/22037
dc.description This paper was first presented at the, 23rd International Symposium on Mine Planning and Equipment Selection (MPES) 2015, 8–11 November 2015, Sandton Convention Centre, Johannesburg, South Africa. en_ZA
dc.description.abstract Mine planning software continues to be an important factor when it comes to the development of the South African mining industry. To contribute to this development, a new methodology to define and measure mine planning software utilization in the South African coal mining sector within an evolving data-set framework was developed. 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. In this paper, using the 2012 and 2014 time-stamps, a methodology for estimating the software utilization is developed. In this methodology, three variables: commodity, functionality, and time factor are used to define and measure the software utilization in order to ultimately inform decisionmaking strategies for software utilization. Utilization in the coal sector was measured according to six different functionalities, namely Geological Data Management, Geological Modelling and Resource Estimation, Design and Layout, Scheduling, Financial Valuation and Optimization. The methodology is useful for stakeholders reviewing existing software combinations or intending to purchase new software in the near future and wanting 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.language.iso en en_ZA
dc.publisher The 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.subject Coal mining en_ZA
dc.subject Coal sector software utilization en_ZA
dc.subject Database en_ZA
dc.subject South African mining industry en_ZA
dc.subject Mine planning software en_ZA
dc.subject Decision-making strategies en_ZA
dc.subject Information management en_ZA
dc.subject Resource valuation en_ZA
dc.title Estimating mine planning software utilization for decision-making strategies in the South African coal mining sector. en_ZA
dc.type Article en_ZA
dc.journal.volume 116 en_ZA
dc.journal.title Journal of the Southern African Institute of Mining and Metallurgy. en_ZA
dc.description.librarian MvdH2017 en_ZA
dc.citation.doi 10.17159/2411-9717/2016/v116n3a2 en_ZA
dc.citation.epage 227 en_ZA
dc.citation.issue 3 en_ZA
dc.description.url http://www.saimm.co.za/publications/journal-papers en_ZA
dc.citation.spage 221 en_ZA


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