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

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dc.contributor.author Genc, B.
dc.contributor.author Musingwini, C.
dc.contributor.author Celik, T.
dc.date.accessioned 2017-02-17T12:55:22Z
dc.date.available 2017-02-17T12:55:22Z
dc.date.issued 2015-02
dc.identifier.citation Genc, 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.pdf en_ZA
dc.identifier.issn 2225-6253
dc.identifier.uri http://hdl.handle.net/10539/22067
dc.description 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.abstract This 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.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 Database en_ZA
dc.subject Gold sector en_ZA
dc.subject Mine planning software en_ZA
dc.subject Software utilization en_ZA
dc.subject South African mining industry en_ZA
dc.subject Decision making en_ZA
dc.subject Resource estimation en_ZA
dc.subject Information management en_ZA
dc.subject Gold mines en_ZA
dc.title Estimating mine planning software utilization for decision-making strategies in the South African gold mining sector. en_ZA
dc.type Article en_ZA
dc.journal.volume 115 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.epage 152 en_ZA
dc.citation.issue 2 en_ZA
dc.description.url http://www.saimm.co.za/publications/journal-papers en_ZA
dc.citation.spage 145 en_ZA


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