An environmental uncertainty-based diagnostic reference tool for evaluating the performance of supply chain value streams

Gallear, David, Ghobadian, Abby, Li, Yanhong, O'Regan, Nicholas, Childerhouse, Paul and Naim, Mohamed Mohamed ORCID: https://orcid.org/0000-0003-3361-9400 2014. An environmental uncertainty-based diagnostic reference tool for evaluating the performance of supply chain value streams. Production Planning & Control 25 (13-14) , pp. 1182-1197. 10.1080/09537287.2013.808838

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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 rolemodel 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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management
Additional Information:	Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0953-7287/ (accessed 23.07.14).
Publisher:	Taylor & Francis
ISSN:	0953-7287
Funders:	EPSRC
Date of Acceptance:	27 April 2013
Last Modified:	16 Nov 2024 08:45
URI:	https://orca.cardiff.ac.uk/id/eprint/62077

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