IoT-enabled real-time production performance analysis and exception diagnosis model

Y Zhang, W Wang, N Wu, C Qian - IEEE Transactions on …, 2015 - ieeexplore.ieee.org
The recent developments of technologies in Internet of Things (IoT) provide the opportunities
for smart manufacturing with real-time traceability, visibility, and interoperability in production …

Developing performance measurement system for Internet of Things and smart factory environment

G Hwang, J Lee, J Park, TW Chang - International journal of …, 2017 - Taylor & Francis
To cope with large fluctuations in the demand of a commodity, it is necessary for the
manufacturing system to have rapid reactive ability. This requirement may be secured by …

Edge computing enabled production anomalies detection and energy-efficient production decision approach for discrete manufacturing workshops

C Zhang, W Ji - Ieee Access, 2020 - ieeexplore.ieee.org
Due to the complexity and dynamics of manufacturing processes, there are various
production anomalies in a discrete manufacturing workshop, which have a strong impact on …

Analyzing critical failures in a production process: Is industrial IoT the solution?

S Ahmad, A Badwelan, AM Ghaleb… - Wireless …, 2018 - Wiley Online Library
Machine failures cause adverse impact on operational efficiency of any manufacturing
concern. Identification of such critical failures and examining their associations with other …

[HTML][HTML] An IoT-based and cloud-assisted AI-driven monitoring platform for smart manufacturing: design architecture and experimental validation

B Caiazzo, T Murino, A Petrillo, G Piccirillo… - Journal of …, 2023 - emerald.com
Purpose This work aims at proposing a novel Internet of Things (IoT)-based and cloud-
assisted monitoring architecture for smart manufacturing systems able to evaluate their …

[HTML][HTML] Smart anomaly detection and prediction for assembly process maintenance in compliance with industry 4.0

P Tanuska, L Spendla, M Kebisek, R Duris, M Stremy - Sensors, 2021 - mdpi.com
One of the big problems of today's manufacturing companies is the risks of the assembly line
unexpected cessation. Although planned and well-performed maintenance will significantly …

A proactive manufacturing resources assignment method based on production performance prediction for the smart factory

W Wang, Y Zhang, J Gu, J Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the wide application of advanced industrial Internet of Things (IIoT) and cyber physical
system (CPS) technologies, the manufacturing resources assignment method is transformed …

[HTML][HTML] Sensors and machine learning and AI operation-constrained process control method for sensor-aided industrial internet of things and smart factories

S Muruganandam, AA Salameh, MAA Pozin… - Measurement …, 2023 - Elsevier
Abstract The Industrial Internet of Things (IIoT) incorporates intelligent computing and
artificial intelligence paradigms in smart factories for ease of production and human-less …

Protecting cyber physical production systems using anomaly detection to enable self-adaptation

G Settanni, F Skopik, A Karaj… - 2018 IEEE Industrial …, 2018 - ieeexplore.ieee.org
The industrial world is going through its fourth revolution also known as Industry 4.0. Modern
industrial processes leverage advanced IT technologies to increase productivity and often …

Edge-cloud cooperation driven self-adaptive exception control method for the smart factory

W Wang, T Hu, J Gu - Advanced Engineering Informatics, 2022 - Elsevier
Production exceptions often occur due to the uncertainties of resources such as random
machine broken, urgent production tasks. The timely identification and optimal control of the …