October 1, 2018 Preprint Open Access

Kavakli, Evangelia; Buenabad-Chavez, Jorge; Tountopoulos, Vassillis; Loucopoulos, Pericles; Sakellariou, Rizos

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  <dc:creator>Kavakli, Evangelia</dc:creator>
  <dc:creator>Buenabad-Chavez, Jorge</dc:creator>
  <dc:creator>Tountopoulos, Vassillis</dc:creator>
  <dc:creator>Loucopoulos, Pericles</dc:creator>
  <dc:creator>Sakellariou, Rizos</dc:creator>
  <dc:date>2018-10-01</dc:date>
  <dc:description>Data-driven decision making is at the core of Industry 4.0. This paper describes the specification of a conceptual architecture of a smart system for supporting decision making in the context of disruptive events in manufacturing operations. Following a viewpoint-oriented approach, the proposed architecture identifies the functional components that facilitate decision making and establishes the interfaces between them, demonstrates the information flow within the manufacturing ecosystem for vertical / horizontal integration and establishes the mapping of the functional components to different software containers, execution environments and physical devices.</dc:description>
  <dc:description>Preprint of a research paper accepted at the  6th International Conference on Enterprise Systems Limassol, Cyprus, 01-02 October, 2018</dc:description>
  <dc:identifier>https://zenodo.org/record/3528270</dc:identifier>
  <dc:identifier>10.5281/zenodo.3528270</dc:identifier>
  <dc:identifier>oai:zenodo.org:3528270</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.5281/zenodo.3528269</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
  <dc:subject>Smart manufacturing</dc:subject>
  <dc:subject>software architecture</dc:subject>
  <dc:subject>decision making</dc:subject>
  <dc:subject>Industry 4.0</dc:subject>
  <dc:title>Specification of a Software Architecture for an Industry 4.0 Environment</dc:title>
  <dc:type>info:eu-repo/semantics/preprint</dc:type>
  <dc:type>publication-preprint</dc:type>
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