Speeding up the progress curve towards effective supply chain management

Towill, Denis Royston, Childerhouse, Paul and Disney, Stephen Michael ORCID: https://orcid.org/0000-0003-2505-9271 2000. Speeding up the progress curve towards effective supply chain management. Supply Chain Management: an International Journal 5 (3) , pp. 122-130. 10.1108/13598540010338866

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Abstract

Introduces a supply chain “health check” procedure successfully applied in the European automotive sector and presents the results for the analysis of 20 trans-European value streams covering a wide range of first and second tier suppliers. The health check procedure is activated via a quick scan methodology (QSM) requiring execution by a multi-disciplinary team working on-site. The degree of integration within the value chain is estimated by the QS team, using the uncertainty circle concept which apportions observed uncertainties in the product delivery process (PDP) according to source. In our experience the four major contributors are: the demand side; supply side; value added process side; and systems controls. The results clearly demonstrate a well-trodden and hence proven route for value stream performance improvement. They also identify value chain exemplars and many areas of best practice, but most importantly they provide a list of actions focused on improving the performance of individual value streams. Properly applied, re-engineering programmes based on these trigger points will speed up the progress curve towards effective supply chain management.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Business (Including Economics) Centre for Advanced Manufacturing Systems At Cardiff (CAMSAC)
Subjects:	H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor H Social Sciences > HD Industries. Land use. Labor > HD28 Management. Industrial Management H Social Sciences > HE Transportation and Communications
Uncontrolled Keywords:	Benchmarking; Europe; Motor industry; Supply-chain management; Uncertainty; Value chain
Publisher:	Emerald
ISSN:	1359-8546
Date of First Compliant Deposit:	2 June 2016
Last Modified:	27 Nov 2024 18:45
URI:	https://orca.cardiff.ac.uk/id/eprint/38279

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