Big data, industry 4.0 and cyber-physical systems integration: A smart industry context

Abstract

The advancements in the industries have paved the way for the distributed establishment of the big data volumes, cyber-physical systems, and industrie 4.0. The perspectives of modules are integrated with the shop-floor monitoring and controlled by computational paradigms, and digital computational spaces. The performance rises after introducing an intelligent and automated manufacturing industry into the next-generation industry. The scope of this paper is to address the state-of-the-art technologies and phases such as digital twins, big data analytics, artificial intelligence, and internet-of-things. The research challenges are examined with attention on data integrity, data quality, data privacy, data availability, data scalability, data transformation, legitimate and monitoring issues, and governance. Lastly, potential research issues that need considerable research efforts are summarized. We believe that this paper is presenting the research directions for researchers in the area of smart industry towards its integration for the advancements of the industrial sector, and agile management. Some surprising development as industry 4.0 integration with socio-technical systems was found in designing the architecture of vertical, horizontal, and end-to-end integration mechanisms.