A Review on the Research Growth of Industry 4.0: IIoT Business Architectures Benchmarking

Anoop Kumar Sahu, Atul Kumar Sahu and Nitin Kumar Sahu
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Anoop Kumar Sahu: Department of Mechanical Engineering, Guru Ghasidas Vishwavidyalaya (A Central University), Bilaspur, India
Atul Kumar Sahu: Department of Industrial and Production Engineering, Guru Ghasidas Vishwavidyalaya, India
Nitin Kumar Sahu: Department of Industrial and Production Engineering, Guru Ghasidas Vishwavidyalaya, India

International Journal of Business Analytics (IJBAN), 2020, vol. 7, issue 1, 77-97

Abstract: Industry 4.0 is an evolutionary topic, which integrates the business with several production architectures e.g. big data analytics, autonomous networks of electronic devices, simulation, horizontal and vertical integration, the industrial internet of things, cyber security, cloud computing, additive manufacturing, virtual reality, etc. The present research aim is to quantify the research trends and contributions of industry 4.0's business architectures from years 2014-2018. The research responds to the literature review of current leading academic journals and conference proceedings, specific to IIoT-BRs such as I4-Business Growth (BG), I4-Business Optimization (BO), I4-Operational Excellence (OE), I4-Enterprise Resource Planning (ERP), I4-Manufacturing Executive system (MES), I4-Process Control Network (PNC), I4-Functional Excellence (FE), I4-Business Strategy, (BS), I4-Human Resource Management (HRM), I4-Integration (I). The authors utilize an open (Google) internet-based research search engine (OIBRSE) as a conduit to acquire the digital object identifiers and universal resource locators if the DOI non-exists with research articles. The research work archives the one hundred sixty-five research articles, gleaned by conducting the literature review upon IIoT-BRs. The research results that research trends and contributions of I4-(BO) and I4-(BG) are strong. However, I4-(BO) and I4-(BG) are slightly prose than I4-(MES) and I4-Network (PNC). The research growth is a weak residue of the industry 4.0's (IIoT-BRs). The research stores the authentic evidence to supervise the researchers for current research gaps and motivates them to extend their glance to weak IIoT-BRs. The research work aids the new researchers of industry 4.0 to learn and optimize their knowledge in empire of industry 4.0 too.

Date: 2020
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