Predicting the efficiency of a surface coal mine for competitiveness

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Authors

Budeba, M.D.
Joubert, Johannes Willem
Webber-Youngman, Ronald C.W.
Shafiee, Shahriar

Journal Title

Journal ISSN

Volume Title

Publisher

Taylor & Francis

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.

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Keywords

Surface coal mining competitiveness, Technical efficiency, Coal supply to local and export (CSLE), Data envelopment analysis (DEA)

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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.