Data science methods and tools for industry 4.0: A systematic literature review and taxonomy

HM Arruda, RS Bavaresco, R Kunst, EF Bugs… - Sensors, 2023 - mdpi.com
The Fourth Industrial Revolution, also named Industry 4.0, is leveraging several modern
computing fields. Industry 4.0 comprises automated tasks in manufacturing facilities, which …

Unlocking the power of semantic interoperability in industry 4.0: a comprehensive overview

FZ Amara, M Djezzar, M Hemam, S Tiwari… - … Knowledge Graphs and …, 2023 - Springer
As Industry 4.0 continues to transform the current manufacturing scene, seamless integration
and intelligent data use have emerged as important aspects for increasing efficiency …

A semantic web-based risk assessment framework for collaborative planning to enhance overall supply chain effectiveness for semiconductor industry

HA Kuo, CF Chien, H Ehm, T Ponsignon - Applied Soft Computing, 2023 - Elsevier
Semiconductor supply chain uncertainty is increasingly complicated due to shortening
product life cycles, demand fluctuation and a series of collaborative decisions, yet little …

Open source IIoT solution for gas waste monitoring in smart factory

M Waters, P Waszczuk, R Ayre, A Dreze, D McGlinchey… - Sensors, 2022 - mdpi.com
Rapid development of smart manufacturing techniques in recent years is influencing
production facilities. Factories must both keep up with smart technologies as well as upskill …

A real-time semantic based approach for modeling and reasoning in Industry 4.0

FZ Amara, M Djezzar, M Hemam, S Tiwari - International Journal of …, 2024 - Springer
In the rapidly evolving landscape of Industry 4.0, the transformation of manufacturing
processes is driven by the seamless integration and intelligent utilization of data. The …

Quality mining in a continuous production line based on an improved genetic algorithm fuzzy support vector machine (GAFSVM)

S Khademolqorani - Computers & Industrial Engineering, 2022 - Elsevier
Nowadays, instant decision making through applying available vast raw data has been
considered as one of the main challenges in various industries. Accurate and quick …

An ontology-based framework for worker's health reasoning enabled by machine learning

R Bavaresco, Y Ren, J Barbosa, GP Li - Computers & Industrial …, 2024 - Elsevier
Reports of fatal and nonfatal workplace injuries depict severe circumstances involving
health and safety in industries. This leads to workers staying away from work in US for an …

[HTML][HTML] Сквозные технологии производства и управления: эффекты отраслевого применения и потенциальной синергии

ГЮ Силкина, НС Алексеева, СЮ Шевченко - π-Economy, 2022 - cyberleninka.ru
Основная идея Индустрии 4.0–организация высокопроизводительной и эффективной
хозяйственной деятельности, реализуется через масштабное распространение и …

An energy efficient design of a multi-layered crossover based 3: 8 decoder using quantum-dot cellular automata

R Das, MS Alam, KT Ahmmed - Heliyon, 2022 - cell.com
Abstract Quantum Dot Cellular Automata (QCA) is advancing as an expectant and ongoing
nanotechnology that relies on the behavior of electrons interacting with each other in a …

[HTML][HTML] Beer Game como estrategia de gamificación aplicando Industria 4.0: más que un juego de inventarios

YA Aguirre-Álvarez, CE Patino-Rodríguez… - Revista de …, 2024 - scielo.org.co
Uno de los grandes retos en los procesos de aprendizaje, es el fortalecer competencias
blandas y técnicas en contexto real de la comunidad académica con estrategias vivenciales …