TY - GEN
T1 - Human Fatigue Aware Cyber-Physical Production System
AU - Paredes-Astudillo, Yenny A.
AU - Moreno, Diego
AU - Vargas, Ana Maria
AU - Angel, Maria Alejandra
AU - Perez, Sergio
AU - Jimenez, Jose Fernando
AU - Saavedra-Robinson, Luis A.
AU - Trentesaux, Damien
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/9
Y1 - 2020/9
N2 - Production systems contain advanced automated processes, and humans are involved in activities, such as monitoring, managing and/or operating, to ensure the right functioning of these systems. The challenge for industries is to develop human-centred scheduling systems that orchestrate the interaction between human and machines devices considering both operations productivity and human well-being. In this paper, a cyber-physical production system integrating a smart station is proposed to dynamically change the schedule of tasks to human operators, regarding the cognitive fatigue level during execution. The smart station consists in a human operator connected to a galvanometer that tracks electric currents on his skin coupled to a virtual holon that seeks the human well-being minimising his cognitive fatigue estimated from the tracking of the current. This Holon is also in charge of the modification of the scheduling through the adaption of the workload. A real experiment has been conducted to validate the contribution of the proposed approach and the results demonstrate significant mitigation of human wellbeing degradation in term of cognitive fatigue.
AB - Production systems contain advanced automated processes, and humans are involved in activities, such as monitoring, managing and/or operating, to ensure the right functioning of these systems. The challenge for industries is to develop human-centred scheduling systems that orchestrate the interaction between human and machines devices considering both operations productivity and human well-being. In this paper, a cyber-physical production system integrating a smart station is proposed to dynamically change the schedule of tasks to human operators, regarding the cognitive fatigue level during execution. The smart station consists in a human operator connected to a galvanometer that tracks electric currents on his skin coupled to a virtual holon that seeks the human well-being minimising his cognitive fatigue estimated from the tracking of the current. This Holon is also in charge of the modification of the scheduling through the adaption of the workload. A real experiment has been conducted to validate the contribution of the proposed approach and the results demonstrate significant mitigation of human wellbeing degradation in term of cognitive fatigue.
KW - control architecture
KW - cyber-physical system
KW - holon
KW - human dynamic
KW - human-centred
KW - task allocation
UR - https://www.scopus.com/pages/publications/85093982249
U2 - 10.1109/ICHMS49158.2020.9209366
DO - 10.1109/ICHMS49158.2020.9209366
M3 - Conference contribution
AN - SCOPUS:85093982249
T3 - Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020
BT - Proceedings of the 2020 IEEE International Conference on Human-Machine Systems, ICHMS 2020
A2 - Fortino, Giancarlo
A2 - Wang, Fei-Yue
A2 - Nurnberger, Andreas
A2 - Kaber, David
A2 - Falcone, Rino
A2 - Mendonca, David
A2 - Yu, Zhiwen
A2 - Guerrieri, Antonio
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st IEEE International Conference on Human-Machine Systems, ICHMS 2020
Y2 - 7 September 2020 through 9 September 2020
ER -