[HTML][HTML] Development of manufacturing execution systems in accordance with Industry 4.0 requirements: A review of standard-and ontology-based methodologies and …

S Jaskó, A Skrop, T Holczinger, T Chován… - Computers in industry, 2020 - Elsevier
This work presents how recent trends in Industry 4.0 (I4. 0) solutions are influencing the
development of manufacturing execution systems (MESs) and analyzes what kinds of trends …

Semantic web and knowledge graphs for industry 4.0

M Yahya, JG Breslin, MI Ali - Applied Sciences, 2021 - mdpi.com
In recent years, due to technological advancements, the concept of Industry 4.0 (I4. 0) is
gaining popularity, while presenting several technical challenges being tackled by both the …

Process monitoring of machining

R Teti, D Mourtzis, DM D'Addona, A Caggiano - CIRP Annals, 2022 - Elsevier
This keynote paper mainly focuses on advancements of machining technology and systems
for enhanced performance, increased system integration and augmented machine …

Application of Industry 4.0 to enhance sustainable manufacturing

MC Jena, SK Mishra… - Environmental Progress & …, 2020 - Wiley Online Library
The proliferation of cyber‐physical systems introduces the fourth stage of industrialization,
commonly known as Industry 4.0. There are many framework and researches have been …

Intelligent predictive maintenance of hydraulic systems based on virtual knowledge graph

W Yan, Y Shi, Z Ji, Y Sui, Z Tian, W Wang… - … Applications of Artificial …, 2023 - Elsevier
In the manufacturing industry, a hydraulic system harnesses liquid fluid power to create
powerful machines. Under the trend of Industry 4.0, the predictive maintenance of hydraulic …

[HTML][HTML] Smart pharmaceutical manufacturing: ensuring end-to-end traceability and data integrity in medicine production

F Leal, AE Chis, S Caton, H González–Vélez… - Big Data Research, 2021 - Elsevier
Production lines in pharmaceutical manufacturing generate numerous heterogeneous data
sets from various embedded systems which control the multiple processes of medicine …

A review of Interoperability Standards for Industry 4.0.

T Burns, J Cosgrove, F Doyle - Procedia Manufacturing, 2019 - Elsevier
One aspect of Industry 4.0 incorporates data science and analytical models to analyse real
time production data from multiple sources such as production machines, systems and …

Smart condition monitoring for industry 4.0 manufacturing processes: An ontology-based approach

Q Cao, F Giustozzi, C Zanni-Merk… - Cybernetics and …, 2019 - Taylor & Francis
Following the trend of Industry 4.0, automation in different manufacturing processes has
triggered the use of intelligent condition monitoring systems, which are crucial for improving …

A comprehensive survey on collaborative data-access enablers in the IIoT

D Sun, J Hu, H Wu, J Wu, J Yang, QZ Sheng… - ACM Computing …, 2023 - dl.acm.org
The scope of the Industrial Internet of Things (IIoT) has stretched beyond manufacturing to
include energy, healthcare, transportation, and all that tomorrow's smart cities will entail. The …

A traceability proposal for industry 4.0

A Bougdira, I Akharraz, A Ahaitouf - Journal of Ambient Intelligence and …, 2020 - Springer
This research examines traceability and its model in industry 4.0. Hence, this paper
introduces the main design features of this model. The fourth industrial revolution is an …