TY - GEN
T1 - Prototyping Assistive Systems for Manual Assembly in Real Production Environments
T2 - 2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021
AU - Pimminger, Sebastian
AU - Kurschl, Werner
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/8
Y1 - 2021/9/8
N2 - In current production environments, industry 4.0 or smart production plays an essential role. The trend towards more and more individualization and an increasing number of product variants place high demands on people working in manufacturing. Assembly workers must achieve increasingly shorter cycle times and constantly learn how to assemble new products. The support from assistive systems (e.g. digital work instructions, pick-by-light, automatic component recognition for quality control) is necessary in these environments. But many systems and prototypes presented in this field work perfectly in lab environments, however, they may fall short when deployed in a real production environment. We developed a comprehensive and flexible assistance system for manufacturing and identified design and technical challenges, which may only appear when working at the shop floor and. In this paper, we present our experiences and discuss our key challenges and lessons learned.
AB - In current production environments, industry 4.0 or smart production plays an essential role. The trend towards more and more individualization and an increasing number of product variants place high demands on people working in manufacturing. Assembly workers must achieve increasingly shorter cycle times and constantly learn how to assemble new products. The support from assistive systems (e.g. digital work instructions, pick-by-light, automatic component recognition for quality control) is necessary in these environments. But many systems and prototypes presented in this field work perfectly in lab environments, however, they may fall short when deployed in a real production environment. We developed a comprehensive and flexible assistance system for manufacturing and identified design and technical challenges, which may only appear when working at the shop floor and. In this paper, we present our experiences and discuss our key challenges and lessons learned.
KW - assistive technology
KW - extended reality
KW - human factors
KW - human in the loop
KW - human-computer interaction
KW - manufacturing systems
UR - http://www.scopus.com/inward/record.url?scp=85118958497&partnerID=8YFLogxK
U2 - 10.1109/ICHMS53169.2021.9582461
DO - 10.1109/ICHMS53169.2021.9582461
M3 - Conference contribution
AN - SCOPUS:85118958497
T3 - Proceedings of the 2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021
BT - Proceedings of the 2021 IEEE International Conference on Human-Machine Systems, ICHMS 2021
A2 - Nurnberger, Andreas
A2 - Fortino, Giancarlo
A2 - Guerrieri, Antonio
A2 - Kaber, David
A2 - Mendonca, David
A2 - Schilling, Malte
A2 - Yu, Zhiwen
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 September 2021 through 10 September 2021
ER -