TY - GEN
T1 - Mass customization and paperless assembly in the learning factory for cyber-physical-production systems
T2 - 18th IEEE International Conference on Advanced Learning Technologies, ICALT 2018
AU - Merkel, Lukas
AU - Atug, Johannes
AU - Berger, Christoph
AU - Braunreuther, Stefan
AU - Reinhart, Gunther
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/10
Y1 - 2018/8/10
N2 - Producing companies are facing rising numbers of variants and increasing international competition. Therefore, many companies seek to enable their production systems for mass customization. Especially in manual assembly, rising complexity can lead to lower productivity and higher error rates. In order to master growing complexity, assistance systems are introduced in manual assembly to support assembly workers by providing, transmitting and receiving relevant information. Since digitization influences entire work environments, knowledge and experience about digital technologies is needed in producing companies for the introduction process. In order to develop digital competences of production managers, this paper presents an interactive learning module in the Learning Factory for Cyber-physical Production Systems (CPPS). Based on an assembly scenario of remote-controlled cars, participants can experience the difference between paper-based and paperless assembly. This learning module shows new challenges for shopfloor managers, intra logistics as well as assembly workers. In an industrial assembly scenario with rising level of digitization, the participants discuss in a moderated workshop the impact of digitization on their own factory with experts from the learning factory.
AB - Producing companies are facing rising numbers of variants and increasing international competition. Therefore, many companies seek to enable their production systems for mass customization. Especially in manual assembly, rising complexity can lead to lower productivity and higher error rates. In order to master growing complexity, assistance systems are introduced in manual assembly to support assembly workers by providing, transmitting and receiving relevant information. Since digitization influences entire work environments, knowledge and experience about digital technologies is needed in producing companies for the introduction process. In order to develop digital competences of production managers, this paper presents an interactive learning module in the Learning Factory for Cyber-physical Production Systems (CPPS). Based on an assembly scenario of remote-controlled cars, participants can experience the difference between paper-based and paperless assembly. This learning module shows new challenges for shopfloor managers, intra logistics as well as assembly workers. In an industrial assembly scenario with rising level of digitization, the participants discuss in a moderated workshop the impact of digitization on their own factory with experts from the learning factory.
KW - Assembly
KW - Learning factory
KW - Mass customization
UR - http://www.scopus.com/inward/record.url?scp=85052520894&partnerID=8YFLogxK
U2 - 10.1109/ICALT.2018.00130
DO - 10.1109/ICALT.2018.00130
M3 - Conference contribution
AN - SCOPUS:85052520894
SN - 9781538660492
T3 - Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018
SP - 270
EP - 271
BT - Proceedings - IEEE 18th International Conference on Advanced Learning Technologies, ICALT 2018
A2 - Chen, Nian-Shing
A2 - Chang, Maiga
A2 - Huang, Ronghuai
A2 - Kinshuk, K.
A2 - Moudgalya, Kannan
A2 - Murthy, Sahana
A2 - Sampson, Demetrios G
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 9 July 2018 through 13 July 2018
ER -