Over the last decade, Industry 4.0 has focused more on digitalization and AI-driven technologies for increasing the efficiency and flexibility of production. In early 2021, the European Commission proposed the concept of “Industry 5.0”, which complements the existing “Industry 4.0” paradigm. However, since the European Commission released its Industry 5.0 Policy, several research efforts focused on the comparison of Industry 4.0, Industry 5.0 and Society 5.0 as well. The comparison extends to the validity of Industry 5.0. The ongoing Industry 4.0 is technology-focused, whereas Industry 5.0 (or Society 5.0 with Japanese perspective) is a more value-driven approach, towards the implementation of the available enabling technologies in industry. This new model is based on three interconnected core pillars as follows: human-centricity, sustainability, and resilience. In 2018, the Chinese Academy of Engineering proposed the concept of Human-Cyber-Physical Systems (HCPS) in the context of new-generation intelligent manufacturing, concluding that the essence of intelligent manufacturing is to design, construct, and apply HCPS in various cases and at different levels. Both Industry 5.0 and HCPS recognize the Human Digital Twin (HDT) as one of the key methods towards human-centric smart manufacturing. By extension Human-Centricity is a new way of thinking about data management and its possibilities in terms of data generation in manufacturing, focusing on key terms such as (self)sovereignty, self-determination, self-governance, autonomy, agency and so on. Consequently, in Industry 5.0, the research focus will be directed towards the new generation of human operators, the Operator 5.0. However, in recent years, more and more complete and realistic twins of machines and equipment are included in the digital representations of the factories, while humans have been almost neglected. Nevertheless, human characteristics, behaviors, psychophysical and organizational conditions are quite important and have a direct impact on the final performance and operations of production systems toward HCPS and Industry 5.0. In this context, this special issue explores technologies scientific paradigms, methods, models and technologies with solid theoretical development and practical importance for the realization of HDT in industry. Topics to be covered include, but are not limited to the following:
Theory, investigation and review of HDT for Industry 5.0 and HCPSHDT within Human–Robot Collaboration (HRC) and smart robotsBig data analytics within HDT in industryData Management and Data Policies within HDT for Industry 5.0HDT for hybrid intelligenceHDT for human-centric smart manufacturing and serviceHDT in production management and logisticsHDT of ergonomics and human factors
Important Dates
Full paper submission deadline: 30 November 2022
Revised paper submission deadline: 30 May 2023
Final decision notification: 30 July 2023
Publication: 30 July 2023 (Online first after acceptance)
Guest Editors:
Prof. Baicun Wang, Zhejiang University, Email: baicunw@zju.edu.cn
Prof. Xueguan Song, Dalian University of Technology, Email: sxg@dlut.edu.cn
Prof. Fei Tao, Beihang University, Email: ftao@buaa.edu.cn
Prof. Pai Zheng, Hong Kong Polytechnic University, Email: pai.zheng@polyu.edu.hk
Prof. Tianliang Hu, Shandong University, Email: tlhu@sdu.edu.cn
Prof. Hao Li, Zhengzhou University of Light Industry, Email: lh9666@hotmail.com
Prof. Dimitris MOURTZIS, University of Patras, Email: mourtzis@lms.mech.upatras.gr