Abstract
The term Industry 4.0, coined to be the fourth industrial revolution, refers to a higher level of automation for operational productivity and efficiency by connecting virtual and physical worlds in an industry. With Industry 4.0 being unable to address and meet increased drive of personalization, the term Industry 5.0 was coined for addressing personalized manufacturing and empowering humans in manufacturing processes. The onset of the term Industry 5.0 is observed to have various views of how it is defined and what constitutes the reconciliation between humans and machines. This serves as the motivation of this paper in identifying and analyzing the various themes and research trends of what Industry 5.0 is using text mining tools and techniques. Toward this, the abstracts of 196 published papers based on the keyword “Industry 5.0” search in IEEE, science direct and MDPI data bases were extracted. Data cleaning and preprocessing were performed for further analysis to apply text mining techniques of key terms extraction and frequency analysis. Further topic mining i.e., unsupervised machine learning method was used for exploring the data. It is observed that the terms artificial intelligence (AI), big data, supply chain, digital transformation, machine learning, internet of things (IoT), are among the most often used and among several enablers that have been identified by researchers to drive Industry 5.0. Five major themes of Industry 5.0 addressing, supply chain evaluation and optimization, enterprise innovation and digitization, smart and sustainable manufacturing, transformation driven by IoT, AI, and Big Data, and Human-machine connectivity were classified among the published literature, highlighting the research themes that can be further explored. It is observed that the theme of Industry 5.0 as a gateway towards human machine connectivity and co-existence is gaining more interest among the research community in the recent years.
Highlights
A peak in use of actionable data sets i.e., Big Data in the year 2021 followed by internet of things (IoT) and machine learning indicate more interest among the research communities to explore from an integration perspective toward a well-connected, distributed, intelligent, and actionable human centric systems
Enabled by the capabilities of text mining techniques, in this paper an attempt to understand and classify Industry 5.0 based on the published research articles with the time frame of when the term was first coined i.e., 2016 to the year 2022 is portrayed
Addressing the objective of the paper, term extraction technique was used to identify the most often occurring terms in the abstract text data gathered on Industry 5.0 related publications
Summary
Manufacturers throughout the world are faced with the challenge of increasing productivity while keeping humans in loop at manufacturing industries This task becomes even more difficult as robots become more crucial to the manufacturing process by means of emerging technologies such as brain-machine interfaces and advances in AI. Industry 1.0 came about in the 18th century and focused on the sectors of textiles, steam power, iron, tools, cement, chemicals, gas, lighting, glass, paper, mining, agriculture, and transportation The achievements of this revolution include employability, agriculture development, transportation, and sustained growth. 2.0 started in the 19th century and focused on iron, steel, rail, electrification, machine tools, paper, petroleum, chemical, maritime technology, rubber, bicycles, automobiles, applied science, fertilizer, engines, turbines, telecommunications, and modern business management The achievements of this revolution include the emergence of the electrical power grid, telephones, telegraph, and internal combustion engines. Utilization of technology ethically to advance human values and needs, Socio-centric technological decisions, 6R methodology and logistics efficiency design principles
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