IoT-enabled Smart Factory Visibility and Traceability using laser-scanners

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dc.contributor.author Zhong, Runyang en
dc.contributor.author Xu, Xun en
dc.contributor.author Wang, LH en
dc.contributor.editor Wang, L en
dc.contributor.editor Fratini, L en
dc.contributor.editor Shih, A en
dc.coverage.spatial Los Angeles, USA en
dc.date.accessioned 2017-10-05T01:50:31Z en
dc.date.issued 2017 en
dc.identifier.citation In Procedia Manufacturing: 45th SME North American Manufacturing Research Conference, NAMRC 45, LA, USA. Elsevier. 10: 1-14. 2017 en
dc.identifier.issn 2351-9789 en
dc.identifier.uri http://hdl.handle.net/2292/35881 en
dc.description.abstract Smart Factory is one of the critical components in Industry 4.0 which is our next industrial generation. This paper introduces an Internet of Things (IoT) -enabled Smart Factory Visibility and Traceability Platform (iVTP for short) to ultimately achieve real-time production visualization within a smart factory. iVTP uses IoT technology to identify various manufacturing objects. Specifically, radio frequency identification (RFID) devices are used for converting various resources into smart manufacturing objects (SMOs) and their interactions thus are able to real-time reflect the production operations and behaviors. By innovatively using a laser-scanner in the shopfloor, iVTP is able to real-time display the movements of various SMOs and twin the real-time RFID data to show their states. A Cloud-based system architecture which enables all the services packaged and deployed in a Cloud allows typical end-users to easily define their production logics, download useful services, and develop their customized services. Several demonstrative scenarios are presented to show how iVTP can facilitate the typical decision-making, production and logistics operations in a smart factory. en
dc.description.uri http://www.sme.org/namrchistory/ en
dc.publisher Elsevier en
dc.relation.ispartof NAMRI/SME NAMRC 45, Forty-Fifth North American Manufacturing Research Conference en
dc.relation.ispartofseries Procedia Manufacturing: 45th SME North American Manufacturing Research Conference, NAMRC 45, LA, USA en
dc.rights Items in ResearchSpace are protected by copyright, with all rights reserved, unless otherwise indicated. Previously published items are made available in accordance with the copyright policy of the publisher. Details obtained from http://www.sherpa.ac.uk/romeo/issn/2351-9789/ en
dc.rights.uri https://researchspace.auckland.ac.nz/docs/uoa-docs/rights.htm en
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/ en
dc.title IoT-enabled Smart Factory Visibility and Traceability using laser-scanners en
dc.type Conference Item en
dc.identifier.doi 10.1016/j.promfg.2017.07.103 en
pubs.begin-page 1 en
pubs.volume 10 en
dc.description.version VoR - Version of Record en
dc.rights.holder Copyright: The authors en
pubs.end-page 14 en
pubs.finish-date 2017-06-08 en
pubs.publication-status Published en
pubs.start-date 2017-06-04 en
dc.rights.accessrights http://purl.org/eprint/accessRights/OpenAccess en
pubs.subtype Proceedings en
pubs.elements-id 618625 en
pubs.org-id Engineering en
pubs.org-id Mechanical Engineering en
pubs.record-created-at-source-date 2017-03-26 en


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