Performance measurement systems and metrics: A framework for monitoring oil operations

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dc.contributor.authorNouara, Adel
dc.contributor.authorDeCoster, Rebecca
dc.date.accessioned2015-09-25T10:27:12Z
dc.date.available2015-09-25T10:27:12Z
dc.date.issued2013-09-19
dc.description.abstractOil operations involve high levels of capital equipment and high capacity production processes for which performance measures can assist with monitoring production throughout the oil industry stages. The approach taken in this paper is to utilise the lifecycle approach of asset management as well as organisational resource factors in an integrative manner. This research will examine the use of performance measurement in both private and public oil companies with a focus on Developing Countries. National Oil companies are of national economic importance in Developing Countries. Thus purpose of this paper is to develop a conceptual framework for performance measures of current and future oil operations and the associated asset management for field operations. The approach taken is to recognise the national context and strategic drivers and then to examine within this context the three areas of: Asset Management; Oil Operations (including Technology and Development; Management approaches; Partnerships) and Performance Outcomes.en_UK
dc.identifier.citationNouara A. and DeCoster R. (2013). Performance measurement systems and metrics: A framework for monitoring oil operations. Proceedings of the 11th International Conference on Manufacturing Research (ICMR2013), Cranfield University, UK, 19th – 20th September 2013, pp 569-574en_UK
dc.identifier.isbn9781907413230
dc.identifier.urihttp://dspace.lib.cranfield.ac.uk/handle/1826/9511
dc.language.isoenen_UK
dc.publisherCranfield University Pressen_UK
dc.relation.ispartofseriesQuality and Performance Measurementen_UK
dc.relation.ispartofseries3en_UK
dc.subjectPerformance Measurementen_UK
dc.subjectPerformance Managementen_UK
dc.subjectAsset Managementen_UK
dc.titlePerformance measurement systems and metrics: A framework for monitoring oil operationsen_UK
dc.typeConference paperen_UK

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