October 2, 2018 Preprint Open Access

Tountopoulos, Vasilios; Kavakli, Evangelia; Sakellariou, Rizos

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  <identifier identifierType="DOI">10.5281/zenodo.3528256</identifier>
  <creators>
    <creator>
      <creatorName>Tountopoulos, Vasilios</creatorName>
      <givenName>Vasilios</givenName>
      <familyName>Tountopoulos</familyName>
      <affiliation>Athens Technology Center S.A.</affiliation>
    </creator>
    <creator>
      <creatorName>Kavakli, Evangelia</creatorName>
      <givenName>Evangelia</givenName>
      <familyName>Kavakli</familyName>
      <affiliation>School of Computer Science, The University of Manchester, Manchester, UK</affiliation>
    </creator>
    <creator>
      <creatorName>Sakellariou, Rizos</creatorName>
      <givenName>Rizos</givenName>
      <familyName>Sakellariou</familyName>
      <affiliation>School of Computer Science, The University of Manchester, Manchester, UK</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Towards a Cloud-Based Controller for Data-Driven Service Orchestration in Smart Manufacturing</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Smart manufacturing, data-driven service orchestration, controller</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-10-02</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Preprint"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3528256</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3528255</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;The orchestration of smart manufacturing service operations and processes arises as a challenging step in the realization of the Industry 4.0 vision. This paper presents the work in progress towards the specifications of a controlling environment for data-driven orchestration of software services in future smart manufacturing scenarios. The paper discusses the role and significance of multi-aspect data in the management of manufacturing operations and proposes a reference architecture for controlling the orchestration of the respective data services, following the work that has been conducted in the context of the EU-funded project DISRUPT.&lt;/p&gt;</description>
    <description descriptionType="Other">Preprint of a research paper accepted at the 6th International Conference on Enterprise Systems, Limassol, Cyprus / 01-02 October, 2018</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/723541/">723541</awardNumber>
      <awardTitle>Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration</awardTitle>
    </fundingReference>
  </fundingReferences>
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