Please use this identifier to cite or link to this item: http://buratest.brunel.ac.uk/handle/2438/9797
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dc.contributor.authorGallear, D-
dc.contributor.authorGhobadian, A-
dc.contributor.authorLi, Y-
dc.contributor.authorO'Regan, N-
dc.contributor.authorChilderhouse, P-
dc.contributor.authorNaim, M-
dc.date.accessioned2015-01-19T12:46:56Z-
dc.date.available2015-01-19T12:46:56Z-
dc.date.issued2014-
dc.identifier.citationProduction Planning & Control: The Management of Operations , 25(13-14): (2014)en_US
dc.identifier.issn0953-7287-
dc.identifier.urihttp://www.tandfonline.com/doi/abs/10.1080/09537287.2013.808838-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/9797-
dc.descriptionThis is an Author's Accepted Manuscript of an article published in Production Planning & Control 2013, copyright Taylor & Francis, available online at: http://www.tandfonline.com/10.1080/09537287.2013.808838.en_US
dc.description.abstractThis research has responded to the need for diagnostic reference tools explicitly linking the influence of environmental uncertainty and performance within the supply chain. Uncertainty is a key factor influencing performance and an important measure of the operating environment. We develop and demonstrate a novel reference methodology based on data envelopment analysis (DEA) for examining the performance of value streams within the supply chain with specific reference to the level of environmental uncertainty they face. In this paper, using real industrial data, 20 product supply value streams within the European automotive industry sector are evaluated. Two are found to be efficient. The peer reference groups for the underperforming value streams are identified and numerical improvement targets are derived. The paper demonstrates how DEA can be used to guide supply chain improvement efforts through role-model identification and target setting, in a way that recognises the multiple dimensions/outcomes of the supply chain process and the influence of its environmental conditions. We have facilitated the contextualisation of environmental uncertainty and its incorporation into a specific diagnostic reference tool.en_US
dc.language.isoenen_US
dc.publisherTaylor & Francisen_US
dc.subjectDiagnostic reference toolen_US
dc.subjectData envelopment analysisen_US
dc.subjectSupply chainen_US
dc.subjectPerformance measurementen_US
dc.subjectEnvironmental uncertaintyen_US
dc.titleAn environmental uncertainty-based diagnostic reference tool for evaluating the performance of supply chain value streamsen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1080/09537287.2013.808838-
pubs.organisational-data/Brunel-
pubs.organisational-data/Brunel/Brunel Active Staff-
pubs.organisational-data/Brunel/Brunel Active Staff/Brunel Business School-
pubs.organisational-data/Brunel/Brunel Active Staff/Brunel Business School/Business-
pubs.organisational-data/Brunel/University Research Centres and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups-
pubs.organisational-data/Brunel/University Research Centres and Groups/Brunel Business School - URCs and Groups/Centre for Research into Entrepreneurship, International Business and Innovation in Emerging Markets-
Appears in Collections:Brunel Business School Research Papers

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