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A framework and decision support tool for improving value chain resilience to critical materials in manufacturing

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journal contribution
posted on 30.01.2018 by Liam Gardner, James Colwill
Certain non-energy materials have been identified as being critical to the manufacturing sector and wider economy. These critical materials have both a high risk of supply disruption combined with high economic importance. The criticality of specific raw materials is becoming increasingly acute as the escalating use of resources is driven by an increasing global population combined with increasing consumer demand for an ever wider variety of products. Critical materials are vital elements in the value chain yet their supply risk may often be ineffectively addressed by traditional supply chain management strategies. Most critical material research to date has been focused at a national or industrial policy level thus many manufacturers are unaware if their operations are at risk from critical materials at a product level. This paper presents a framework that takes a systematic approach to identifying, assessing and mitigating risk associated with critical materials bilaterally along the value chain to facilitate manufacturers in the identification, assessment and mitigation of critical material supply risk. This paper also describes how the framework can be facilitated for application in industry through preliminary design specifications towards a development of a decision support tool.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Production and Manufacturing Research

Citation

GARDNER, L. and COLWILL, J., 2018. A framework and decision support tool for improving value chain resilience to critical materials in manufacturing. Production and Manufacturing Research, 6 (1), pp.126-148

Publisher

Informa UK Limited, trading as Taylor & Francis Group (© The Authors)

Version

VoR (Version of Record)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution 4.0 International (CC BY 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/

Acceptance date

22/01/2018

Publication date

2018

Notes

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

ISSN

2169-3277

Language

en

Licence

Exports