The evolution of production systems from Industry 2.0 through Industry 4.0
By Yong Yin, Kathryn E. Stecke, Dongni Li. International Journal of Production Research, 2018
593 citations recorded by the source corpus.
Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation
View Paper: https://www.semanticscholar.org/paper/c144765b431ed2e570a9e76ca9f2569d15fedbda
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Industrial and Manufacturing Engineering
- Qinglin Qi
- Fei Tao
- Andrew Yeh-Ching Nee
- Marco Perona
- Andrea Bacchetti
- Ting Zheng
- Marco Ardolino
- Ang Liu
In Management of Technology and Innovation
- Qinglin Qi
- Andrew Yeh-Ching Nee
- Marco Perona
- Felix Tung Sun Chan
- Andrea Bacchetti
- Ting Zheng
- Fei Tao
- Marco Ardolino
Citations in the corpus
- Digital twin-driven product design framework (2019, background): “Yin et al. focused on the relationships between product supply and customer needs (Yin, Stecke, and Li 2017).”
- Researchers' perspectives on Industry 4.0: multi-disciplinary analysis and opportunities for operations management (2020, unknown): “0 has been characterized as technological advances, organizational re-designs, operations management (OM) developments, and market transformations (Yin et al. 2018, Tang and Veelenturf 2019, Oztemel and Gursev 2020).”
- Defining a Digital Twin-based Cyber-Physical Production System for autonomous manufacturing in smart shop floors (2019, background): “…for transparency, manufacturing data integration for sharing and Big Data analysis for production control (Kumar et al. 2016, Zhong et al. 2017, Yin et al. 2018), there are still some limitations or disadvantages to be dealt with: (1) Machine-oriented virtualisation and network access…”
- The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, background): “…supply chain (customers, assemblers, suppliers and other service providers), facilitating the supply decision-making process for complying (or not) with customer-desired product varieties, volumes and times (Garay-Rondero et al. 2019; Strozzi et al. 2017; Wan et al.2016; Yin, Stecke, and Li 2018).”