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A Digital Ecosystem for Improving Product Design

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Management of Digital EcoSystems (MEDES 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 2022))

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Abstract

Digitization is reaching to every corner of the industry. The industry 4.0 (I4.0) movement initiated a move towards a stronger reliance on data in the manufacturing domain in order to improve processes and product quality. Multiple works highlight the potential benefits of deploying artificial intelligence or big data management platforms for industrial companies to improve their processes and provide a better understanding of their production tools. Many I4.0 work often assume the existence of interconnected machinery, sensors, and Manufacturing Execution System (MES) in the company and assume that most data is already available from these interconnected systems on the production line. Unfortunately, this does not reflect the state of many companies whose production systems are not interconnected due to historical reasons or security and normative issues. This report describes a big data architecture for the collection, storage and analysis of industrial prototype data. We provide details on how such an architecture can be structured and how it supports the engineering cycle in a partner company through a case study.

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Notes

  1. 1.

    https://aws.amazon.com/fr/solutions/case-studies/innovators/volkswagen-group/, last seen December 5, 2023.

  2. 2.

    https://www.microsoft.com/fr-fr/industry/manufacturing/microsoft-cloud-for-manufacturing, last seen December 5, 2023.

  3. 3.

    https://www.metabase.com/, seen December 5, 2023.

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Acknowledgements

Funding for this work was provided by ACOME (https://www.acome.com/en) as part of the Data Architecture for ACOME Factory 4.0 chair established between ACOME and the L@bISEN research laboratory (https://isen-brest.fr/labisen/).

Author information

Authors and Affiliations

  1. L@bIsen, Isen Nantes, 33 Quater Avenue du Champs de Manoeuvre, 44470, Carquefou, France

    Sylvain Lefebvre, Benoit Lardeux & Maher Jridi

  2. L@bIsen, ISEN Brest, 20 Rue Cuirassé Bretagne, 29200, Brest, France

    Jean-Marie Guyader

  3. ACOME, 50140, Romagny-Fontenay, France

    Michaël Lecointre, Olivier Aubrun & Birane Touré

Authors
  1. Sylvain Lefebvre
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  2. Michaël Lecointre
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  3. Benoit Lardeux
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  4. Jean-Marie Guyader
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  5. Olivier Aubrun
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  6. Birane Touré
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  7. Maher Jridi
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Correspondence to Sylvain Lefebvre .

Editor information

Editors and Affiliations

  1. University of Pau & Pays de l'Adour, Anglet, France

    Richard Chbeir

  2. Claude Bernard University Lyon 1, Villeurbanne Cedex, France

    Djamal Benslimane

  3. Technical University of Crete, Chania, Greece

    Michalis Zervakis

  4. Open University of Cyprus, Nicosia, Cyprus

    Yannis Manolopoulos

  5. Wroclaw University of Science, Wroclaw, Poland

    Ngoc Thanh Ngyuen

  6. Lebanese American University, Byblos, Lebanon

    Joe Tekli

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Lefebvre, S. et al. (2024). A Digital Ecosystem for Improving Product Design. In: Chbeir, R., Benslimane, D., Zervakis, M., Manolopoulos, Y., Ngyuen, N.T., Tekli, J. (eds) Management of Digital EcoSystems. MEDES 2023. Communications in Computer and Information Science, vol 2022. Springer, Cham. https://doi.org/10.1007/978-3-031-51643-6_18

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  • DOI: https://doi.org/10.1007/978-3-031-51643-6_18

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  • Online ISBN: 978-3-031-51643-6

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