TY - GEN
T1 - A State-of-the-Art Review and Framework for Human-Centric Automation in Industry 5.0
AU - Yaqot, Mohammed
AU - Menezes, Brenno
AU - Mohammed, Abdulfatah
AU - Moloney, Kim
N1 - Publisher Copyright:
© IFIP International Federation for Information Processing 2024.
PY - 2024/9/6
Y1 - 2024/9/6
N2 - As we go beyond the concept of Industry 4.0 (I4.0), the point where industry and human participation meet becomes a matter of philosophical debate. What is the rationale for developing a substitute for human effort? The expected substitution of several work positions sparks debate on society’s ability to adjust to this technology-driven change, necessitating a comprehensive investigation. The primary research question in this work addresses how Industry 5.0 (I5.0) can enhance human-machine collaboration to improve operational efficiency and worker satisfaction. The methodology employed in this work involves a systematic review of relevant literature, focusing on two particular aspects of human-centric manufacturing: the symbiotic relationship between humans and automation and the identification of the capabilities that automation can enhance in worker skills amidst the myriad challenges of digital governance. To address these challenges—such as job displacement, skill gaps, and ethical concerns in automation—the Enhanced Human-Automation Symbiosis (EHAS) framework is proposed. This framework aims to balance technological advancements with human needs by enhancing our understanding of the complex dynamics between human capacities and automation. In this paper, we present a comprehensive state-of-the-art review and outline our proposed framework, discussing future research directions, developmental prospects, and practical implementation issues.
AB - As we go beyond the concept of Industry 4.0 (I4.0), the point where industry and human participation meet becomes a matter of philosophical debate. What is the rationale for developing a substitute for human effort? The expected substitution of several work positions sparks debate on society’s ability to adjust to this technology-driven change, necessitating a comprehensive investigation. The primary research question in this work addresses how Industry 5.0 (I5.0) can enhance human-machine collaboration to improve operational efficiency and worker satisfaction. The methodology employed in this work involves a systematic review of relevant literature, focusing on two particular aspects of human-centric manufacturing: the symbiotic relationship between humans and automation and the identification of the capabilities that automation can enhance in worker skills amidst the myriad challenges of digital governance. To address these challenges—such as job displacement, skill gaps, and ethical concerns in automation—the Enhanced Human-Automation Symbiosis (EHAS) framework is proposed. This framework aims to balance technological advancements with human needs by enhancing our understanding of the complex dynamics between human capacities and automation. In this paper, we present a comprehensive state-of-the-art review and outline our proposed framework, discussing future research directions, developmental prospects, and practical implementation issues.
KW - Digital transformation
KW - Enhanced human-automation symbiosis
KW - Human-automation
KW - Industry 5.0 Operator 5.0
UR - https://www.scopus.com/pages/publications/85204521763
U2 - 10.1007/978-3-031-65894-5_27
DO - 10.1007/978-3-031-65894-5_27
M3 - Conference contribution
AN - SCOPUS:85204521763
SN - 9783031658938
T3 - IFIP Advances in Information and Communication Technology
SP - 385
EP - 400
BT - Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments - 43rd IFIP WG 5.7 International Conference, APMS 2024, Proceedings
A2 - Thürer, Matthias
A2 - Riedel, Ralph
A2 - von Cieminski, Gregor
A2 - Romero, David
PB - Springer Science and Business Media Deutschland GmbH
T2 - 43rd IFIP WG 5.7 International Conference on Advances in Production Management Systems, APMS 2024
Y2 - 8 September 2024 through 12 September 2024
ER -