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Additive manufacturing: a framework for supply chain configuration

Jimo, A. ORCID:, Braziotis, C., Rogers, H. ORCID: and Pawar, K. ORCID: (2022) Additive manufacturing: a framework for supply chain configuration. International Journal of Production Economics, 253. 108592. ISSN 0925-5273

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To link to this item DOI: 10.1016/j.ijpe.2022.108592


Using Resource Dependence Theory (RDT), this paper explores the changing state of Supply Chain (SC) complexities and dependencies resulting from Additive Manufacturing (AM) adoption, analysing implications for competitiveness. We utilised an adapted SC configuration framework to develop embedded case studies across the Aerospace, Automotive and Power Generation industries. The sample included fifteen companies deploying metal AM across three SC tiers. Using an abductive logic, our findings reveal that the complexity and dependency-reduction potential of AM depends on economic, industry, geographical, organisational and technological factors. We developed a conceptual framework for AM SC configuration and four propositions, which provide further insights into the interplay between SC complexities, dependencies and competitiveness. By utilising RDT, we contribute to the AM SC configuration literature by highlighting the mediating role that dependencies play in achieving competitiveness, as well as strategies adopted by firms to mitigate uncertainty. We also highlight the interplay between ‘relationship and governance’ and three other SC configuration dimensions in relation to competitiveness. Insights into the changing state of complexities and dependencies identified in this study could also support managerial decisions in AM SC design.

Item Type:Article
Divisions:Henley Business School > Business Informatics, Systems and Accounting
ID Code:110418


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