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Abstract

During the COVID-19 pandemic, many supply chains were disrupted significantly, which led to various severe impacts on supply chain performance. When infection rate increased, especially the supply of medical and hygiene products was disrupted. This caused a critical shortage and asked for an active response from the society. Among others additive manufacturing (AM) was utilized for closing this gap. Established as well as spontaneously formed additive manufacturing networks contributed a fast and valuable support during the pandemic scenario. Despite this huge benefit, the applicability, performance and efficiency of these networks depend on multiple factors including but not limited to its working principles, situation, human and social factors. This paper aims to provide a close look into the challenges of AM networks as well as onto the requirements for applying these networks to gain a high performance by two complementary empirical analyses: (1) interviews with AM network participants including producers and cooperators of existing and ad-hoc networks during the pandemic, and (2) a detailed analysis of different commercial AM platforms. The result of the research is supposed to contribute to the further development in this field, especially for constructing a supporting AM network platform in the future.

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Acknowledgement

The project on which this report is based was funded by the German Federal Ministry of Economic Affairs and Climate Protection under the funding code MM - MMMKO01416521 - 0I1MK22001G. The responsibility for the content of this publication lies with the authors.

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Correspondence to Ralph Riedel .

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Thi, Y.M., Chen, X., Riedel, R. (2023). The Potential of Additive Manufacturing Networks in Crisis Scenarios. In: Alfnes, E., Romsdal, A., Strandhagen, J.O., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Production Management Systems for Responsible Manufacturing, Service, and Logistics Futures. APMS 2023. IFIP Advances in Information and Communication Technology, vol 690. Springer, Cham. https://doi.org/10.1007/978-3-031-43666-6_37

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  • DOI: https://doi.org/10.1007/978-3-031-43666-6_37

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