Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges

By Paulo Leitão, Armando Walter Colombo, Stamatis Karnouskos. Computers in industry (Print), 2016

628 citations recorded by the source corpus.

Subfields: Computational Theory and Mathematics, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/3aa23adaa470681b956aef43b5d16f89be136c27

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computational Theory and Mathematics

1. Hajar Fatorachian
2. Hadi Kazemi
3. Edmundas Kazimieras Zavadskas
4. Yang Shi
5. Okyay Kaynak
6. William Ho

In Industrial and Manufacturing Engineering

1. Hajar Fatorachian
2. J. Garza‐Reyes
3. Robert Pellerin
4. Frédéric Rosin
5. Hadi Kazemi
6. Edmundas Kazimieras Zavadskas
7. Samir Lamouri
8. Stamatis Karnouskos

Citations in the corpus

• Design and application of Internet of things-based warehouse management system for smart logistics (2018, background): “The emergence of the CPS network fosters responsiveness and flexibility in WMS (Leitão, Colombo, and Karnouskos 2016).”
• Industry 4.0 as an enabler of sustainability diffusion in supply chain: an analysis of influential strength of drivers in an emerging economy (2019, background): “0 unlock the potentials of sustainable SCs (Leitão, Colombo, and Karnouskos 2016; Pfohl, Yahsi, and Kurnaz 2017).”
• A Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective (2018, background): “the merger of industrial cyber and physical systems that provide productive and efficient manufacturing and automation [2], [24]–[27].”
• Industrial Cyberphysical Systems: A Backbone of the Fourth Industrial Revolution (2017, background): “The listed cross-cutting challenges are especially relevant for ICPSs and their system-of-system constellations and can be roughly clustered to six major areas [56]: 1) ICPS capabilities, 2) ICPS management, 3) ICPS engineering, 4) ICPS ecosystems, 5) ICPS infrastructures, and 6) ICPS information s”
• A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework (2018, background): “Moreover, predictive capabilities in IoT-enabled vision, can enable machines to foresee failures and to, autonomously, take quick and corrective actions (Leitão, Colombo, and Karnouskos 2016; Lopez Research 2014; Shamsuzzoha et al. 2016).”
• Impacts of Industry 4.0 technologies on Lean principles (2019, background): “…in simulations (e.g. Block, Lins, and Kuhlenkötter 2018; Heger, Grundstein, and Freitag 2017; Ismail, Wang, and Poolton 2015; Kück et al. 2016; Leitão, Colombo, and Karnouskos 2016; Mousavi and Siervo 2017; Rüßmann et al. 2015; Saez et al. 2015; Snyman and Bekker 2017; Zhuang, Liu, and Xiong…”