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Title: A framework and decision support tool for improving value chain resilience to critical materials in manufacturing
Authors: Gardner, Liam
Colwill, James
Keywords: Critical materials
Supply chain
Sustainable value chain
Risk management
Issue Date: 2018
Publisher: Informa UK Limited, trading as Taylor & Francis Group (© The Authors)
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
Abstract: 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.
Description: 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.
Version: Published
DOI: 10.1080/21693277.2018.1432428
URI: https://dspace.lboro.ac.uk/2134/28333
Publisher Link: https://doi.org/10.1080/21693277.2018.1432428
ISSN: 2169-3277
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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