Literature review on the ‘Smart Factory’ concept using bibliometric tools

By Fernanda Strozzi, Claudia Colicchia, Alessandro Creazza, Carlo Noè. International Journal of Production Research, 2017

431 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/183d68b02c81a81826d3cda7016a42c5e547f5ce

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Citations in the corpus

The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, background): “0 and summarise the areas of research and fields of application (Liao et al. 2017; Muhuri, Shukla, and Abra-ham 2019; Savastano et al. 2019; Strozzi et al. 2017).”
Tourism and its economic impact: A literature review using bibliometric tools (2018, methodology): “At this point, using the software Sci2, the Kleinberg’s algorithm was applied to the normalized keywords (as in Strozzi et al., 2014, 2017).”
The evolution of production systems from Industry 2.0 through Industry 4.0 (2018, background): “Strozzi et al. (2017) analyses the evolution, trends, and emerging topics of a smart factory and provides topics for additional investigation.”
Industry 4.0: A Bibliometric Review of Its Managerial Intellectual Structure and Potential Evolution in the Service Industries (2019, background): “…2014; Chiarello et al., 2018; Galati and Bigliardi, 2019; Liao et al., 2017; Lu, 2017; Oesterreich and Teuteberg, 2016; Roblek et al., 2016; Xu et al., 2018) or one of its core concepts, such as smart factory (Strozzi et al., 2017) and smart manufacturing (Kang et al., 2016; Lu and Weng, 2018).”
Information and digital technologies of Industry 4.0 and Lean supply chain management: a systematic literature review (2020, methodology): “…and the interorganizational levels and provides a set of solutions that meets the growing needs for company informatization and automatisation (Xu, Xu, and Li 2018) under a smart factory paradigm in which machines interact with each other (Ivanov et al. 2016; Strozzi et al. 2017).”
Internet of things and supply chain management: a literature review (2019, methodology): “The method has been found to be more objective and suitable for studying emerging ﬁ elds and their trends (e.g. see Fahimnia, Sarkis, and Davarzani 2015; Mishra et al. 2016; Strozzi et al. 2017).”
A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 (2020, neutral): “Among various perspectives (Liao et al. 2017; Strozzi et al. 2017; Tang and Veelenturf 2019; Fragapane et al. 2020; Ghadge et al. 2020), a particular concern has been focused on how digitalisation and data analytics capabilities can be manifested in predicting future and identifying real-time…”
Predictive Maintenance and Intelligent Sensors in Smart Factory: Review (2021, background): “Strozzi [10] expands the literature review emphasising the actual transition and implementation of large, intelligent factories.”
Impact of Industry 4.0 on supply chain performance (2020, background): “Moreover, these technological innovations have enabled “efficient use of resources, making sustainable performance a key feature in smart factories” (Strozzi et al. 2017, p. 6572).”
The impact of digital technology and Industry 4.0 on the ripple effect and supply chain risk analytics (2018, background): “Most of the new factory concepts share attributes of smart networking (Strozzi et al. 2017).”
A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing (2019, background): “Digital factory concepts share the attributes of smart networking [69].”