Predicting the efficiency of a surface coal mine for competitiveness
Loading...
Date
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.
Description
Keywords
Surface coal mining competitiveness, Technical efficiency, Coal supply to local and export (CSLE), Data envelopment analysis (DEA)
Sustainable Development Goals
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.