TY - GEN
T1 - Determination of cognitive assistance functions for manual assembly systems
AU - Merkel, Lukas
AU - Berger, Christoph
AU - Braunreuther, Stefan
AU - Reinhart, Gunther
N1 - Publisher Copyright:
© 2019, Springer International Publishing AG, part of Springer Nature.
PY - 2019
Y1 - 2019
N2 - Since a growing number of variants increase complexity in today’s production systems, higher flexibility is needed. However, automated production systems are often not economical in high-variant production scenarios. Therefore, human flexibility plays an important role, especially for assembly tasks. In order to increase human flexibility in manual assembly a variety of assistance systems providing cognitive support for individual workers has been developed in recent years. Cognitive assistance systems can support assembly workers by providing, processing or collecting information. This paper presents an approach to determine cognitive assistance functions in manual assembly. The need for different assistance functions is investigated in order to make a needs-based selection. The results can then be matched with suitable technologies to design an assistance system. An application of this approach is shown for a manual assembly system in the learning factory for cyber-physical production systems in Augsburg, Germany.
AB - Since a growing number of variants increase complexity in today’s production systems, higher flexibility is needed. However, automated production systems are often not economical in high-variant production scenarios. Therefore, human flexibility plays an important role, especially for assembly tasks. In order to increase human flexibility in manual assembly a variety of assistance systems providing cognitive support for individual workers has been developed in recent years. Cognitive assistance systems can support assembly workers by providing, processing or collecting information. This paper presents an approach to determine cognitive assistance functions in manual assembly. The need for different assistance functions is investigated in order to make a needs-based selection. The results can then be matched with suitable technologies to design an assistance system. An application of this approach is shown for a manual assembly system in the learning factory for cyber-physical production systems in Augsburg, Germany.
KW - Cognitive assistance
KW - Human factors
KW - Industry 4.0
KW - Manual assembly
KW - Technology management
UR - http://www.scopus.com/inward/record.url?scp=85049370422&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-94619-1_19
DO - 10.1007/978-3-319-94619-1_19
M3 - Conference contribution
AN - SCOPUS:85049370422
SN - 9783319946184
T3 - Advances in Intelligent Systems and Computing
SP - 198
EP - 207
BT - Advances in Human Factors in Wearable Technologies and Game Design - Proceedings of the AHFE 2018 International Conferences on Human Factors and Wearable Technologies, and Human Factors in Game Design and Virtual Environments, 2018
A2 - Ahram, Tareq Z.
PB - Springer Verlag
T2 - AHFE 2018 International Conferences on Human Factors and Wearable Technologies, and Human Factors in Game Design and Virtual Environments, 2018
Y2 - 21 July 2018 through 25 July 2018
ER -