Identification of critical key performance indicators for Anglo Coal underground mining operations

dc.contributor.authorMaserumule, Madinoge Jeanette
dc.contributor.emailjozine.botha@up.ac.zaen
dc.contributor.otherUniversity of Pretoria. Faculty of Engineering, Built Environment and Information Technology. Dept. of Industrial and Systems Engineering
dc.date.accessioned2010-02-01T11:57:18Z
dc.date.available2010-02-01T11:57:18Z
dc.date.created2009-11
dc.date.issued2010-02-01T11:57:18Z
dc.descriptionThesis (B Eng. (Industrial and Systems Engineering))--University of Pretoria, 2009.en
dc.description.abstractThe most essential task of any production company is to be able to manage production with reliable methods developed using realistic data, thus creating a platform for continuous improvement using forecasting methods that can predict the future given past data. The objective of this paper is to study key performance indicators using statistical tools and develop a model that can be used to identify a combination of key performance indicators that are critical in terms of reaching production targets. Literature review was done to highlight relevant tools, techniques and methods that can be used to develop an analysis model that will reach the objectives of the project. This should aid Anglo Coal South Africa in accelerated decision making capabilities utilising proposed solution strategies to achieve stated business objectives.en
dc.identifier.urihttp://hdl.handle.net/2263/12824
dc.languageen
dc.language.isoenen_US
dc.rightsCopyright: University of Pretoriaen_US
dc.subjectForecasting methodsen_US
dc.subject.lcshProduction managementen
dc.subject.lcshForecasting -- Methodologyen
dc.titleIdentification of critical key performance indicators for Anglo Coal underground mining operationsen
dc.typeTexten

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