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Authors: Meysam Minoufekr ; Anass Driate and Peter Plapper

Affiliation: University of Luxembourg, 6 rue Coudenhove-Kalergi and Luxembourg

ISBN: 978-989-758-380-3

Keyword(s): Industrial Internet of Things, IIoT, Internet of Things, IoT, Internet of Production, Assembly Tracking, Industry 4.0, Production Management.

Abstract: A universal RFID platform is presented, which is meant to be used as a building component of IoT integrated collaboration platform for manufacturing applications. The core element of the system is based on affordable Raspberry Pi modules, running on an IoT operating system. The main goal of this paper is to demonstrate an affordable IoT solution for manufacturing SME to improve productivity by measuring and adapting the assembly processes for a given product. To track the production chain, each part in the supply chain is equipped with an RFID tag, which will be recorded during its travel through the facility. In addition, each worker has his own RFID tag to localize himself and record the performed activities. The workstations are equipped with RFID scanners used to record activity and product flow through the stations. All the gathered data is collected on a server and the real-time status of the assembly line is processed and displayed to the dispatching agents. Upon this data anal ysis, the dispatchers can take actions, update the manufacturing setup and ultimately increase productivity. (More)

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Paper citation in several formats:
Minoufekr, M.; Driate, A. and Plapper, P. (2019). An IoT Framework for Assembly Tracking and Scheduling in Manufacturing SME.In Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-380-3, pages 585-594. DOI: 10.5220/0007921805850594

@conference{icinco19,
author={Meysam Minoufekr. and Anass Driate. and Peter Plapper.},
title={An IoT Framework for Assembly Tracking and Scheduling in Manufacturing SME},
booktitle={Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2019},
pages={585-594},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007921805850594},
isbn={978-989-758-380-3},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - An IoT Framework for Assembly Tracking and Scheduling in Manufacturing SME
SN - 978-989-758-380-3
AU - Minoufekr, M.
AU - Driate, A.
AU - Plapper, P.
PY - 2019
SP - 585
EP - 594
DO - 10.5220/0007921805850594

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