IoT, Risk and Resilience based Framework for Quality Control: Application for Production in Plastic Machining

Khaled Bahloul, Nejib Moalla

2021

Abstract

The definition of defect prediction models in manufacturing emerges as an attractive alternative supported by industry 4.0 concepts and solutions. We propose in this paper an IoT-based approach for a global quality control mechanism in industry. We cover in this work the in-process quality control inspection, the production machines as well as the production environment monitoring. Our framework addresses data analytics algorithms using monitoring data, risk assessment models, resilience parameters and acceptance criteria for prediction models. The proposed concepts are implemented to control the manufacturing processes of a plastic product where the distinction between irregularity and nonconformity needs to be supported by a smart decision system.

Paper Citation

in Harvard Style

Bahloul K. and Moalla N. (2021). IoT, Risk and Resilience based Framework for Quality Control: Application for Production in Plastic Machining. In Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT, ISBN 978-989-758-523-4, pages 605-611. DOI: 10.5220/0010608106050611

in Bibtex Style

@conference{icsoft21,
author={Khaled Bahloul and Nejib Moalla},
title={IoT, Risk and Resilience based Framework for Quality Control: Application for Production in Plastic Machining},
booktitle={Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,},
year={2021},
pages={605-611},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010608106050611},
isbn={978-989-758-523-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Software Technologies - Volume 1: ICSOFT,
TI - IoT, Risk and Resilience based Framework for Quality Control: Application for Production in Plastic Machining
SN - 978-989-758-523-4
AU - Bahloul K.
AU - Moalla N.
PY - 2021
SP - 605
EP - 611
DO - 10.5220/0010608106050611