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Towards industrial internet of things: crankshaft monitoring, traceability and tracking using RFID

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journal contribution
posted on 24.03.2016, 17:04 by Diana M. Segura-Velandia, Navjot Kaur, Paul ConwayPaul Conway, William WhittowWilliam Whittow, Andrew WestAndrew West
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.

Funding

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.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Robotics and Computer-Integrated Manufacturing

Volume

41

Pages

66 - 77

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.

Publisher

© Elsevier

Version

AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2016-03-04

Notes

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.

ISSN

0736-5845

Language

en

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