Predicting the efficiency of a surface coal mine for competitiveness
| dc.contributor.author | Budeba, M.D. | |
| dc.contributor.author | Joubert, Johannes Willem | |
| dc.contributor.author | Webber-Youngman, Ronald C.W. | |
| dc.contributor.author | Shafiee, Shahriar | |
| dc.date.accessioned | 2016-08-15T10:46:56Z | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Mining is a competitive business with many players. The survival of a mine in the business is determined by its efficiency and cost-effectiveness relative to the other producers. Both new and operating mines should select optimal technical variables, such as the production rate, that will make them competitive, taking into account mine unique project variables. This paper describes a model for estimating the technical efficiency of surface mine for Coal Supply to Local and Export (CSLE). The application of the model and evaluation is shown using simulated data. It proposes a predictive model of the efficiency of a new project. | en_ZA |
| dc.description.department | Industrial and Systems Engineering | en_ZA |
| dc.description.department | Mining Engineering | en_ZA |
| dc.description.embargo | 2017-03-31 | |
| dc.description.librarian | hb2016 | en_ZA |
| dc.description.uri | http://www.tandfonline.com/loi/nsme20 | en_ZA |
| dc.identifier.citation | Mussa Daniel Budeba, Johan Wilhelm Joubert, Ronny Webber- Youngman & Shahriar Shafiee (2017) Predicting the efficiency of a surface coal mine for competitiveness, International Journal of Mining, Reclamation and Environment, 31:3, 187-204, DOI: 10.1080/17480930.2015.1135669. | en_ZA |
| dc.identifier.issn | 1748-0930 (print) | |
| dc.identifier.issn | 1748-0949 (online) | |
| dc.identifier.other | 10.1080/17480930.2015.1135669 | |
| dc.identifier.uri | http://hdl.handle.net/2263/56293 | |
| dc.language.iso | en | en_ZA |
| dc.publisher | Taylor & Francis | en_ZA |
| dc.rights | © 2016 Informa UK Limited, trading as Taylor & Francis Group. This is an electronic version of an article published in International Journal of Mining, Reclamation and Environment, vol. 31, no. 3, pp. 187-204, 2017. doi :10.1080/17480930.2015.1135669. International Journal of Mining, Reclamation and Environment is available online at : http://www.tandfonline.com/loi/nsme20. | en_ZA |
| dc.subject | Surface coal mining competitiveness | en_ZA |
| dc.subject | Technical efficiency | en_ZA |
| dc.subject | Coal supply to local and export (CSLE) | en_ZA |
| dc.subject | Data envelopment analysis (DEA) | en_ZA |
| dc.subject.other | Engineering, built environment and information technology articles SDG-04 | |
| dc.subject.other | SDG-04: Quality education | |
| dc.subject.other | Engineering, built environment and information technology articles SDG-08 | |
| dc.subject.other | SDG-08: Decent work and economic growth | |
| dc.subject.other | Engineering, built environment and information technology articles SDG-09 | |
| dc.subject.other | SDG-09: Industry, innovation and infrastructure | |
| dc.subject.other | Engineering, built environment and information technology articles SDG-12 | |
| dc.subject.other | SDG-12: Responsible consumption and production | |
| dc.title | Predicting the efficiency of a surface coal mine for competitiveness | en_ZA |
| dc.type | Postprint Article | en_ZA |