Review and Classification of Digital Manufacturing Reference Architectures
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Peer-reviewed
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Kaiser, Jan https://orcid.org/0000-0002-7264-5065
McFarlane, Duncan https://orcid.org/0000-0002-1558-7823
Hawkridge, Gregory https://orcid.org/0000-0002-7539-1697
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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Sohoma 2021
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Engineering and Physical Sciences Research Council (EP/R032777/1)
Engineering and Physical Sciences Research Council [grant number EPSRC: EP/R032777/1]