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Potential of Graph Database Visualization of the Supplier Network to Increase Resilience in Multi-tier Supply Chains

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Advances in Manufacturing IV (MANUFACTURING 2024)

Part of the book series: Lecture Notes in Mechanical Engineering ((LNME))

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Abstract

Since Covid and the following bottlenecks in material supply companies are highly sensitive regarding the vulnerability of their supply chains. Delayed deliveries, failures of sub-suppliers, and supply shortages are only a few of the problems arising over the last years in global markets. This work deals with the potential of graph database systems in terms of increasing transparency and resilience in manufacturing supply chains. For the research, an open-source solution is tested for its functionality so that small and medium-sized enterprises (SMEs) can also benefit from the advantages of such systems. The goal is to find out if such systems are suitable in the case of multi-tier supply chains. The more sub-suppliers there are between the manufacturer and the raw material producer, the more difficult it is for a company to manage the entire supply chain. In this work, the supplier network is exemplarily visualized using a NoSQL database focusing on graph-based data models. Queries are designed and tested facilitating the user to search for specific criteria and critical situations within the supplier network. The results in this research suggest that there is considerable potential for increasing resilience as supply chain managers can use such tools to act based on the results instead of reacting when problems are already materializing along supply chains.

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Acknowledgments

This project has received funding from the European Union’s HORIZON-MSCA-2021-SE-01 program under the Marie Curie grant agreement No. 101086487. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union.

Author information

Authors and Affiliations

  1. Industrial Engineering and Automation (IEA), Faculty of Engineering, Free University of Bozen-Bolzano, Bolzano, Italy

    Erwin Rauch, Ali Asghar Bataleblu, Michaela Golser, Asja Emer & Dominik T. Matt

  2. Fraunhofer Research Italia, Innovation Engineering Center, Bolzano, Italy

    Dominik T. Matt

Authors
  1. Erwin Rauch
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  2. Ali Asghar Bataleblu
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  3. Michaela Golser
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  4. Asja Emer
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  5. Dominik T. Matt
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Corresponding author

Correspondence to Ali Asghar Bataleblu .

Editor information

Editors and Affiliations

  1. Faculty of Mechanical Engineering, Poznań University of Technology, Poznan, Poland

    Justyna Trojanowska

  2. Faculty of Mechanical Engineering, Poznan University of Technology, Poznan, Poland

    Agnieszka Kujawińska

  3. Sumy State University, Sumy, Ukraine

    Ivan Pavlenko

  4. Faculty of Manufacturing Technologies, Technical University of Košice, Presov, Slovakia

    Jozef Husar

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Rauch, E., Bataleblu, A.A., Golser, M., Emer, A., Matt, D.T. (2024). Potential of Graph Database Visualization of the Supplier Network to Increase Resilience in Multi-tier Supply Chains. In: Trojanowska, J., Kujawińska, A., Pavlenko, I., Husar, J. (eds) Advances in Manufacturing IV. MANUFACTURING 2024. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-56444-4_10

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  • DOI: https://doi.org/10.1007/978-3-031-56444-4_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-56446-8

  • Online ISBN: 978-3-031-56444-4

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