Industry 4.0: state of the art and future trends
By Lida Xu, Eric L. Xu, Ling Xia Li. International Journal of Production Research, 2018
2,632 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Industrial and Manufacturing Engineering
View Paper: https://www.semanticscholar.org/paper/52c31ed6e67841043a9d51f79a452a9b3c91cddb
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
- Sachin S. Kamble
- Sven Winkelhaus
- Eric H. Grosse
- Petri T. Helo
- Yuqiuge Hao
- Angappa Gunasekaran
- Gerd J. Hahn
- Lai-Wan Wong
In Industrial and Manufacturing Engineering
- Sachin S. Kamble
- Edmundas Kazimieras Zavadskas
- Sven Winkelhaus
- Eric H. Grosse
- Petri T. Helo
- Yuqiuge Hao
- Angappa Gunasekaran
- J. M. Maqueira‐Marín
Citations in the corpus
- Blockchain technology: Is it hype or real in the construction industry? (2020, background): “It is characterised by the seamless integration of cyber-physical environments propelled by an array of technologies that enable the development of a digital and automated industry as well as the digitisation of the value chain [3-5].”
- Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers (2020, background): “This integration allows the interconnection between the virtual space and the physical world, entailing more flexible manufacturing processes and the real-time analysis of large amounts of information (Xu et al., 2018; Alqahtani et al., 2019).”
- Logistics 4.0: a systematic review towards a new logistics system (2019, methodology): “For a more in-depth discussion of Industry 4.0 in general we refer to the recent reviews of Liao et al. (2017) and Xu, Xu, and Li (2018).”
- Industry 4.0: a supply chain innovation perspective (2020, background): “0 summarise its technical foundations as well as general business implications (see Hermann, Pentek, and Otto 2015; Liao et al. 2016; Moeuf et al. 2018; Xu, Xu, and Li 2018). i4.”
- Unearthing the determinants of Blockchain adoption in supply chain management (2020, background): “Many industries are reported to have begun integrating BC into manufacturing practices (Xu, Xu, and Li 2018) leveraging on the potential of BC in validating manufacturing parameters (Kamble, Gunasekaran, and Arha 2019).”
- Blockchain in global supply chains and cross border trade: a critical synthesis of the state-of-the-art, challenges and opportunities (2019, background): “The manufacturing industry is going through fundamental changes as it embraces digitisation (Industry 4.0) with key enablers including 3D printing, automation, smart factory with IoT, machine learning, SC digitisation, and blockchain (L. D. Xu et al. 2018).”
- Artificial intelligence in operations management and supply chain management: an exploratory case study (2021, methodology): “Technologies such as radio frequency identification (RFID), wireless sensor networks (WSN), and Bluetooth low energy devices, e.g. beacons, are used (Xu, Xu, and Li 2018; Cavalcante et al. 2019).”
- Understanding the Blockchain technology adoption in supply chains-Indian context (2018, background): “There are reports about some companies have started with the integration of BT concept into their manufacturing practices (Xu, Xu, and Li 2018).”
- Blockchain technology in agri-food value chain management: A synthesis of applications, challenges and future research directions (2019, background): “Although blockchain technology has been seen as a critical element in the manufacturing sector in recent years, the role of blockchain technology for promoting resilience, scalability, security and autonomy of manufacturing service has been relatively overlooked (Xu et al. 2018).”