Preprint Open Access
Tountopoulos, Vasilios; Kavakli, Evangelia; Sakellariou, Rizos
<?xml version='1.0' encoding='UTF-8'?> <record xmlns="http://www.loc.gov/MARC21/slim"> <leader>00000nam##2200000uu#4500</leader> <datafield tag="041" ind1=" " ind2=" "> <subfield code="a">eng</subfield> </datafield> <datafield tag="653" ind1=" " ind2=" "> <subfield code="a">Smart manufacturing, data-driven service orchestration, controller</subfield> </datafield> <controlfield tag="005">20200120164348.0</controlfield> <datafield tag="500" ind1=" " ind2=" "> <subfield code="a">Preprint of a research paper accepted at the 6th International Conference on Enterprise Systems, Limassol, Cyprus / 01-02 October, 2018</subfield> </datafield> <controlfield tag="001">3528256</controlfield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">School of Computer Science, The University of Manchester, Manchester, UK</subfield> <subfield code="a">Kavakli, Evangelia</subfield> </datafield> <datafield tag="700" ind1=" " ind2=" "> <subfield code="u">School of Computer Science, The University of Manchester, Manchester, UK</subfield> <subfield code="a">Sakellariou, Rizos</subfield> </datafield> <datafield tag="856" ind1="4" ind2=" "> <subfield code="s">376191</subfield> <subfield code="z">md5:f58a9dc96b8c250ae45caf56128949e1</subfield> <subfield code="u">https://zenodo.org/record/3528256/files/cloud-controller.pdf</subfield> </datafield> <datafield tag="542" ind1=" " ind2=" "> <subfield code="l">open</subfield> </datafield> <datafield tag="260" ind1=" " ind2=" "> <subfield code="c">2018-10-02</subfield> </datafield> <datafield tag="909" ind1="C" ind2="O"> <subfield code="p">openaire</subfield> <subfield code="o">oai:zenodo.org:3528256</subfield> </datafield> <datafield tag="100" ind1=" " ind2=" "> <subfield code="u">Athens Technology Center S.A.</subfield> <subfield code="a">Tountopoulos, Vasilios</subfield> </datafield> <datafield tag="245" ind1=" " ind2=" "> <subfield code="a">Towards a Cloud-Based Controller for Data-Driven Service Orchestration in Smart Manufacturing</subfield> </datafield> <datafield tag="536" ind1=" " ind2=" "> <subfield code="c">723541</subfield> <subfield code="a">Decentralised architectures for optimised operations via virtualised processes and manufacturing ecosystem collaboration</subfield> </datafield> <datafield tag="540" ind1=" " ind2=" "> <subfield code="u">https://creativecommons.org/licenses/by/4.0/legalcode</subfield> <subfield code="a">Creative Commons Attribution 4.0 International</subfield> </datafield> <datafield tag="650" ind1="1" ind2="7"> <subfield code="a">cc-by</subfield> <subfield code="2">opendefinition.org</subfield> </datafield> <datafield tag="520" ind1=" " ind2=" "> <subfield code="a"><p>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.</p></subfield> </datafield> <datafield tag="773" ind1=" " ind2=" "> <subfield code="n">doi</subfield> <subfield code="i">isVersionOf</subfield> <subfield code="a">10.5281/zenodo.3528255</subfield> </datafield> <datafield tag="024" ind1=" " ind2=" "> <subfield code="a">10.5281/zenodo.3528256</subfield> <subfield code="2">doi</subfield> </datafield> <datafield tag="980" ind1=" " ind2=" "> <subfield code="a">publication</subfield> <subfield code="b">preprint</subfield> </datafield> </record>
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