A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework

By Hajar Fatorachian, Hadi Kazemi. 2018

432 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Management Information Systems

View Paper: https://www.semanticscholar.org/paper/08eef6de8d0e814c0d23b0057eee9d8351544c85

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In Industrial and Manufacturing Engineering

In Management Information Systems

Citations in the corpus

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): “This provides means to connect equipment, networks, and people wherever required (Fatorachian and Kazemi 2018).”
Impact of Industry 4.0 on supply chain performance (2020, background): “…information and communication technologies within organisations, have enabled autonomous and dynamic manufacturing (Tortorella and Fettermann 2017; Fatorachian and Kazemi 2018), and through transforming control systems in business operations, have, significantly, improved the nature of products…”
The applications of Industry 4.0 technologies in manufacturing context: a systematic literature review (2020, methodology): “Wan, Chen, et al. (2018) pro-pose an IoT-enabled framework for managing dynamic manufacturing resources based on CPPS. Fatorachian and Kazemi (2018) argue that the challenge of communication among different CPSs can be resolved by IoT, while BDA and Cloud enable overall control.”
Organizational learning paths based upon industry 4.0 adoption: An empirical study with Brazilian manufacturers (2020, background): “0 technologies un-derpin digital integration from three main perspectives: vertical, horizontal and end-to-end engineering (Weyer et al., 2015; Fatorachian and Kazemi, 2018).”
Industry 4.0 and lean manufacturing practices for sustainable organisational performance in Indian manufacturing companies (2019, background): “The I4 T operates on the principles of horizontal and vertical integration of manufacturing systems (Fatorachian and Kazemi 2018) and are driven by real-time data interchange between the various partners in the manufacturing value chain (Li et al. 2017; Thoben et al. 2014).”