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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/20726

Title: Towards industrial internet of things: crankshaft monitoring, traceability and tracking using RFID
Authors: Segura-Velandia, Diana M.
Kaur, Navjot
Conway, Paul P.
Whittow, W.G.
West, Andrew A.
Keywords: Internet of things
Issue Date: 2016
Publisher: © Elsevier
Citation: SEGURA-VELANDIA, D.M. .. et al., 2016. Towards industrial internet of things: crankshaft monitoring, traceability and tracking using RFID. Robotics and Computer-Integrated Manufacturing, 41, pp.66-77.
Abstract: The large number of requirements and opportunities for automatic identification in manufacturing domains such as automotive and electronics has accelerated the demand for item-level tracking using radio-frequency identification technology. End-users are interested in implementing automatic identification systems, which are capable of ensuring full component process history, traceability and tracking preventing costly downtime to rectify processing defects and product recalls. The research outlined in this paper investigates the feasibility of implementing an RFID system for the manufacturing and assembly of crankshafts. The proposed solution involves the attachment of bolts with embedded RFID functionality by fitting a reader antenna reader to an overhead gantry that spans the production line and reads and writes production data to the tags. The manufacturing, assembly and service data captured through RFID tags and stored on a local server, could further be integrated with higher-level business applications facilitating seamless integration within the factory.
Description: This paper was accepted for publication in the journal Robotics and Computer-Integrated Manufacturing and the definitive published version is available at http://dx.doi.org/10.1016/j.rcim.2016.02.004.
Sponsor: The authors wish to express their gratitude to the industrial and academic collaborators of the INTELLICO (Intelligent embedded components for enhanced supply chain observability and traceability) project. The TSB Grant award TP No. 14218-87248 supported this work financially. Also, we thank Xerafy and R-Tech who provided RFID tags and very insightful comments.
Version: Accepted for publication
DOI: 10.1016/j.rcim.2016.02.004
URI: https://dspace.lboro.ac.uk/2134/20726
Publisher Link: http://dx.doi.org/10.1016/j.rcim.2016.02.004
ISSN: 0736-5845
Appears in Collections:Published Articles (Mechanical, Electrical and Manufacturing Engineering)

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