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Title: An environmental uncertainty-based diagnostic reference tool for evaluating the performance of supply chain value streams
Authors: Gallear, D
Ghobadian, A
Li, Y
O'Regan, N
Childerhouse, P
Naim, M
Keywords: Diagnostic reference tool;Data envelopment analysis;Supply chain;Performance measurement;Environmental uncertainty
Issue Date: 2014
Publisher: Taylor & Francis
Citation: Production Planning & Control: The Management of Operations , 25(13-14): (2014)
Abstract: This 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.
Description: This is an Author's Accepted Manuscript of an article published in Production Planning & Control 2013, copyright Taylor & Francis, available online at:
ISSN: 0953-7287
Appears in Collections:Brunel Business School Research Papers

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