The industrial management of SMEs in the era of Industry 4.0

By Alexandre Moeuf, Robert Pellerin, Samir Lamouri, Simon Tamayo-Giraldo, Rodolphe Barbaray. International Journal of Production Research, 2018

1,010 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management of Technology and Innovation

View Paper: https://www.semanticscholar.org/paper/39c89c1b25bc8317e7aec3e9e9ffc492e8a741a0

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In Industrial and Manufacturing Engineering

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Citations in the corpus

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Automation and industrial robots Collaborative operations with humans (Benotsmane, Kovács, and Dudás 2019; Chen 2017; Cohen et al. 2019; Strandhagen, Vallandingham, et al. 2017; Kadir, Broberg, and Conceição 2019; Kamble, Gunasekaran, and Gawankar 2018; Moeuf et al. 2018; Robla-Gomez et al. 2017)”
Digital twin-driven rapid individualised designing of automated flow-shop manufacturing system (2019, background): “Under various new national advanced manufacturing strategies, such as Industry 4.0 (Moeuf et al. 2018), Industrial Internet, and Made in China 2025, the number of newly designed Automated Flow-Shop Manufacturing System (AFMS) is boosting to achieve smart manufacturing in both developed and…”
Impacts of Industry 4.0 technologies on Lean principles (2019, background): “Control, therefore, includes monitoring by incorporating a decision-making loop (Moeuf et al. 2017).”
The smart circular economy: A digital-enabled circular strategies framework for manufacturing companies (2020, background): “A possible explanation for this is that ambiguous definitions without clear descriptions of the key constituent elements (i.e., IoT, big data, and data analytics) (Moeuf et al., 2018) are ham-pering the field.”
Industry 4.0: state of the art and future trends (2018, background): “…represented by CPS, IoT and cloud computing (Jasperneite 2012; Kagermann, Wahlster, and Helbig 2013; Lasi et al. 2014; Hermann, Pentek, and Otto 2016; Moeuf et al. 2017), however, it will also rely on smart devices in addition to IoT, CPS, cloud computing and BPM (business process management).”
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0 (2020, methodology): “However, the potential of this data has been found to be insufficiently exploited by companies (Manns et al. 2015; Moeuf et al. 2018).”