"Industrie 4.0" and Smart Manufacturing - A Review of Research Issues and Application Examples
By Klaus-Dieter Thoben, S. Wiesner, Thorsten Wuest. International Journal of Automation Technology, 2017
990 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/458eb2f95bb6711a67d58ba214961996fc649fbb
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
In Industrial and Manufacturing Engineering
- Andrew Yeh-Ching Nee
- Qinglin Qi
- Fei Tao
- Lihui Wang
- M. Mehrpouya
- Emanuele Gabriel Margherita
- Mohamed Ben-Daya
- Gerd J. Hahn
Citations in the corpus
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison (2019, background): “Therefore, smart manufacturing can be considered to be a new version of intelligent manufacturing that highlights the use of advanced information and communication technology and advanced data analytics [6].”
- Industry 4.0 in Management Studies: A Systematic Literature Review (2018, background): “0 is based on the horizontal and vertical integration of production systems driven by real-time data interchange and flexible manufacturing to enable customized production [2,3].”
- A Cross-Strait Comparison of Innovation Policy under Industry 4.0 and Sustainability Development Transition (2017, background): “Policy or industry development-related studies are scattered and tend to overlook industry vertical integration [5], industry overview and development models [6], summaries of cross-nation Industry 4.”
- The Potential of Additive Manufacturing in the Smart Factory Industrial 4.0: A Review (2019, background): “0 uses the benefits of the integration of modern manufacturing technologies and information systems to promote production capabilities [1].”
- Evaluation of the Relation between Lean Manufacturing, Industry 4.0, and Sustainability (2019, background): “Moreover, according to [6,12] the principles of Industry 4.”
- Problems with the Implementation of Industry 4.0 in Enterprises from the SME Sector (2019, background): “These systems are based on real-time data exchange and flexible production to enable customized production [13,14].”
- A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions (2019, background): “The SM integrates data management with process expertise to enable flexibility in physical processes to interact within dynamic global markets increasing the profitability of manufacturers (Davis et al., 2012; Thoben et al., 2017).”
- Digital Economy as a Factor in the Technological Development of the Mineral Sector (2019, background): “…Cyber-Physical System (CPS) in the industry and production processes, which is associated with the acceleration of digital technology development and the gradual depletion of the growth potential and efficiency of traditional industrial, economic and social systems (Berman 2012; Thoben et al. 2017).”
- Working Together: A Review on Safe Human-Robot Collaboration in Industrial Environments (2017, background): “Safety Requirements, Robotic Industries Association, Ann Arbor, MI, USA, 2008.”
- Exploring Organizational Sustainability of Industry 4.0 under the Triple Bottom Line: The Case of a Manufacturing Company (2018, background): “0 (henceforth I40), an industry initiative that through the adoption of digital technologies on the assembly line is changing traditional factories into smart factories [4,5].”