Industry 4.0 and Cloud Manufacturing: A Comparative Analysis
By Yongkui Liu, Xun Xu. 2016
323 citations recorded by the source corpus.
Subfields: Automotive Engineering, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/c420a0543307ead34487624d2df8176bf274fc91
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Automotive Engineering
In Industrial and Manufacturing Engineering
- Fei Tao
- Qinglin Qi
- Andrew Yeh-Ching Nee
- Lihui Wang
- Pai Zheng
- Valerio Persico
- Antonio Pescapè
- Giuseppe Aceto
Citations in the corpus
- A Survey on Information and Communication Technologies for Industry 4.0: State-of-the-Art, Taxonomies, Perspectives, and Challenges (2019, background): “In this view, Cloud Computing is but one convenient technology enabling the service-oriented architecture that is at the basis of the Cloud Manufacturing paradigm [26].”
- Smart manufacturing systems for Industry 4.0: Conceptual framework, scenarios, and future perspectives (2018, background): “Industry 4.0 has elicited much interest from the industry and academe [5].”
- Industry 4.0: How it is defined from a sociotechnical perspective and how much sustainability it includes – A literature review (2020, background): “Horizontal integration through value networks is an enabler of collaboration between value chain partners across company borders such as customers, suppliers and other external partners (Liu and Xu, 2017; Oesterreich and Teuteberg, 2016).”
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “However, current research on CPS mainly focuses on discussions of the concept, architecture, technologies, and challenges [17], while cases of CPS in engineering practice are in their relative infancy.”