Towards resilience in Industry 5.0: A decentralized autonomous manufacturing paradigm

J Leng, Y Zhong, Z Lin, K Xu, D Mourtzis, X Zhou… - Journal of Manufacturing …, 2023 - Elsevier
Manufacturers are increasingly aware of the importance of system resilience against
unexpected disruptive occurrences, such as the recent global Covid-19 pandemic and …

From IoT-based cloud manufacturing approach to intelligent additive manufacturing: Industrial Internet of Things—An overview

L Haghnegahdar, SS Joshi, NB Dahotre - The International Journal of …, 2022 - Springer
Abstract The industrial Internet of Things (IIoT) has grown to empower advantages of
advanced manufacturing machinery and smarter control. The cloud-based technology of …

Enabling technologies and tools for digital twin

Q Qi, F Tao, T Hu, N Anwer, A Liu, Y Wei… - Journal of Manufacturing …, 2021 - Elsevier
Digital twin is revolutionizing industry. Fired by sensor updates and history data, the
sophisticated models can mirror almost every facet of a product, process or service. In the …

Manufacturing big data ecosystem: A systematic literature review

Y Cui, S Kara, KC Chan - Robotics and computer-integrated Manufacturing, 2020 - Elsevier
Advanced manufacturing is one of the core national strategies in the US (AMP), Germany
(Industry 4.0) and China (Made-in China 2025). The emergence of the concept of Cyber …

A smart manufacturing service system based on edge computing, fog computing, and cloud computing

Q Qi, F Tao - IEEE access, 2019 - ieeexplore.ieee.org
The state-of-the-art technologies in new generation information technologies (New IT)
greatly stimulate the development of smart manufacturing. In a smart manufacturing …

New IT driven service-oriented smart manufacturing: framework and characteristics

F Tao, Q Qi - IEEE Transactions on Systems, Man, and …, 2017 - ieeexplore.ieee.org
Recently, along with the wide application of new generation information technologies (New
IT) in manufacturing, many countries issued their national advanced manufacturing …

Mass personalisation as a service in industry 4.0: A resilient response case study

S Aheleroff, N Mostashiri, X Xu, RY Zhong - Advanced Engineering …, 2021 - Elsevier
Abstract The Fourth Industrial Revolution (Industry 4.0) leads to mass personalisation as an
emerging manufacturing paradigm. Mass personalisation focuses on uniquely made …

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research …

S Ren, Y Zhang, Y Liu, T Sakao, D Huisingh… - Journal of cleaner …, 2019 - Elsevier
Smart manufacturing has received increased attention from academia and industry in recent
years, as it provides competitive advantage for manufacturing companies making industry …

Industry 4.0 and cloud manufacturing: A comparative analysis

Y Liu, X Xu - Journal of Manufacturing Science and …, 2017 - asmedigitalcollection.asme.org
Information technologies with their strong penetration can provide effective solutions for
addressing the challenges faced by the manufacturing industry. Leveraging information …

Scheduling in cloud manufacturing: state-of-the-art and research challenges

Y Liu, L Wang, XV Wang, X Xu… - International Journal of …, 2019 - Taylor & Francis
For the past eight years, cloud manufacturing as a new manufacturing paradigm has
attracted a large amount of research interest worldwide. The aim of cloud manufacturing is to …