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Sustainable Industry 4.0 Methodology for Improving SMEs’ Performance

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Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus (FAIM 2022)

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

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Abstract

Industry 4.0 concepts have been elaborated in response to an increasing rate of customized demands, in order to keep high industrial performance for enterprises. These concepts are based on the introduction of new technologies such as collaborative robotics, artificial intelligence, big data or internet of things, in the manufacturing performance improvement. Indeed, the addition of organizational methods in the improvement contributes to the company's positive digital transformation. For instance, lean manufacturing, with reduction of wastes and value-added management, corresponds to a methodology that could be exploited for increasing the performance of SMEs. This paper focuses on how to put sustainability as the kernel of company digital transformation and new technologies as a support for humans in the future manufacturing. Through a use case, this paper presents the concepts of smart manufacturing and flexibility 4.0 for sustainably optimizing the company performance. After a literature review on industry 4.0, flexibilization 4.0, smart manufacturing and lean manufacturing, the concepts developed in this frame will be exposed. Then, the intelligent system being developed for supporting the SME digital transformation will be presented. An application in the electronic card production sector will be shown.

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Authors and Affiliations

  1. Icam, Site of Grand Paris Sud, 77127, Lieusaint, France

    Clément Soudé, Paul-Eric Dossou, Gaspard Laouenan & Baptiste Duquenne

  2. University of Gustave Eiffel, Champs-Sur-Marne, 77420, Paris, France

    Paul-Eric Dossou

Authors
  1. Clément Soudé
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  2. Paul-Eric Dossou
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  3. Gaspard Laouenan
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  4. Baptiste Duquenne
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Corresponding author

Correspondence to Paul-Eric Dossou .

Editor information

Editors and Affiliations

  1. Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA

    Kyoung-Yun Kim

  2. Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA

    Leslie Monplaisir

  3. Industrial and Systems Engineering, Wayne State University, Detroit, MI, USA

    Jeremy Rickli

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Soudé, C., Dossou, PE., Laouenan, G., Duquenne, B. (2023). Sustainable Industry 4.0 Methodology for Improving SMEs’ Performance. In: Kim, KY., Monplaisir, L., Rickli, J. (eds) Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus. FAIM 2022. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-17629-6_44

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  • DOI: https://doi.org/10.1007/978-3-031-17629-6_44

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-17628-9

  • Online ISBN: 978-3-031-17629-6

  • eBook Packages: EngineeringEngineering (R0)

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