A comprehensive survey on interoperability for IIoT: Taxonomy, standards, and future directions

A Hazra, M Adhikari, T Amgoth… - ACM Computing Surveys …, 2021 - dl.acm.org
In the era of Industry 4.0, the Internet-of-Things (IoT) performs the driving position analogous
to the initial industrial metamorphosis. IoT affords the potential to couple machine-to …

Additive manufacturing applications in industry 4.0: a review

A Haleem, M Javaid - Journal of Industrial Integration and …, 2019 - World Scientific
Additive manufacturing (AM) is a set of technologies and are vital to fulfilling different
requirements of Industry 4.0. So, there is a need to study different additive manufacturing …

Intelligent manufacturing execution systems: A systematic review

A Shojaeinasab, T Charter, M Jalayer, M Khadivi… - Journal of Manufacturing …, 2022 - Elsevier
The fast-growing demand for effective Industry 4.0-ready systems from academics and
practitioners has required an assessment of the state-of-the-art research and …

Impact of Internet of Things (IoT) on inventory management: A literature survey

Y Mashayekhy, A Babaei, XM Yuan, A Xue - Logistics, 2022 - mdpi.com
Background: The advancement of Industry 4.0 technologies has affected every aspect of
supply chains. Recently, enterprises have tried to create more value for their businesses by …

Machine learning techniques in emerging cloud computing integrated paradigms: A survey and taxonomy

D Soni, N Kumar - Journal of Network and Computer Applications, 2022 - Elsevier
Cloud computing offers Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and
Software as a Service (SaaS) to provide compute, network, and storage capabilities to the …

Adapting an agile manufacturing concept to the reference architecture model industry 4.0: A survey and case study

M Yli-Ojanperä, S Sierla, N Papakonstantinou… - Journal of industrial …, 2019 - Elsevier
Industry 4.0 architecture has been studied in a large number of publications in the fields of
Industrial Internet of Things, Cyber Physical Production Systems, Enterprise Architectures …

Deep learning in robotics for strengthening industry 4.0.: opportunities, challenges and future directions

K Aggarwal, SK Singh, M Chopra, S Kumar… - Robotics and AI for …, 2022 - Springer
The twenty-first century is undergoing a fundamental transition in the way things are created
and services are provided. The digitalization of services has resulted in a compelling, major …

[HTML][HTML] Roadmap to semi-automatic generation of digital twins for brownfield process plants

S Sierla, M Azangoo, K Rainio… - Journal of Industrial …, 2022 - Elsevier
Industrial process plants have a lifecycle of several decades, and only some of the most
modern plants have digital, machine-readable design information available. For all other …

From industry 4.0 to robotics 4.0-a conceptual framework for collaborative and intelligent robotic systems

Z Gao, T Wanyama, I Singh, A Gadhrri… - Procedia manufacturing, 2020 - Elsevier
This work would like to re-visit the roles of collaborative and intelligent robotic system and its
enabling technologies including ROS and ROS2, integrated drive system, robotic sensors …

[HTML][HTML] Industry 4.0: A technological-oriented definition based on bibliometric analysis and literature review

M Rupp, M Schneckenburger, M Merkel… - Journal of Open …, 2021 - Elsevier
ABSTRACT Industry 4.0 was introduced in 2011 and since then has been perceived in
multiple ways such as a vision, a paradigm, a scenario or as a digital revolution in …