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Review and Classification of Digital Manufacturing Reference Architectures

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Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2021)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1034))

Abstract

For the next generation of production systems, companies require new architectures for designing highly connected systems to increase the efficiency and capabilities of their value chains. Reference architectures help to effectively derive systems architectures. Over the last decades, numerous reference architectures for digital manufacturing have been proposed. This paper presents a framework to classify reference architectures based on five main themes identified in the literature. It will identify gaps in existing reference architectures based on an analysis of the proposed framework and comparison to other classification approaches.

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Authors and Affiliations

  1. University of Cambridge, Institute for Manufacturing (IfM), Alan Reece Building, 17 Charles Babbage Rd, Cambridge, CB3 0FS, UK

    Jan Kaiser, Duncan McFarlane & Gregory Hawkridge

Authors
  1. Jan Kaiser
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  2. Duncan McFarlane
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  3. Gregory Hawkridge
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Corresponding author

Correspondence to Jan Kaiser .

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Editors and Affiliations

  1. Faculty of Automatic Control and Computer Science, University Politehnica of Bucharest, Bucharest, Romania

    Theodor Borangiu

  2. LAMIH UMR CNRS 8201, Polytechnic University Hauts de France, Valenciennes, France

    Damien Trentesaux

  3. Research Centre in Digitalization and Intelligent Robotics, Polytechnic Institute of Bragança, Bragança, Portugal

    Paulo Leitão

  4. LS2N, UMR CNRS 6004, IUT de Nantes, University of Nantes, Carquefou, France

    Olivier Cardin

  5. Arts et Métiers Institute of Technology LISPEN, HESAM Université UBFC, Cluny, France

    Laurent Joblot

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Kaiser, J., McFarlane, D., Hawkridge, G. (2022). Review and Classification of Digital Manufacturing Reference Architectures. In: Borangiu, T., Trentesaux, D., Leitão, P., Cardin, O., Joblot, L. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2021. Studies in Computational Intelligence, vol 1034. Springer, Cham. https://doi.org/10.1007/978-3-030-99108-1_17

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