Trends in intelligent manufacturing research: a keyword co-occurrence network based review

Abstract In recent years, driven by Industry 4.0 wave, academic research has focused on the science, engineering, and enabling technologies for intelligent cyber manufacturing. Using a network science data mining-based Keyword Co-occurrence Network (KCN) methodology, this work analyzes trends in topics manufacturing literature over past two decades to inform researchers, educators, industry leaders of knowledge It studies evolution methods Internet Things (IoT), cloud computing, The KCN methodology is applied systematically analyze keywords collected from 84,041 papers published top-tier journals between 2000 2020. not practically feasible review large body through tradition manual approaches like systematic scoping discover insights. results modeling analysis reveal important components structure literature, implicit interests switch provide insights development. This paper maps high frequency nine pillars help community identify education directions emerging