TY - GEN
T1 - A qualitative study of industry 4.0 use cases and their implementation in electronics manufacturing
AU - Zinn, Jonas
AU - Vogel-Heuser, Birgit
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - Industry 4.0 is estimated to have an economic potential of 267 billion euros for Germany. As a highly dynamic and innovative industry, electronics manufacturing is expected to contribute 23 billion euros. In order to realize this estimated potential, industry 4.0 technologies need to be implemented in concrete use cases providing value to electronics manufacturers. To better understand the current state of industry 4.0 use case adoption, we conduct expert interviews with eight electronics manufacturing companies from industrialized countries. With the results of the interviews, we aim to better understand, which industry 4.0 use cases provide the most value to electronics manufacturers and to what extent they are already implemented.
AB - Industry 4.0 is estimated to have an economic potential of 267 billion euros for Germany. As a highly dynamic and innovative industry, electronics manufacturing is expected to contribute 23 billion euros. In order to realize this estimated potential, industry 4.0 technologies need to be implemented in concrete use cases providing value to electronics manufacturers. To better understand the current state of industry 4.0 use case adoption, we conduct expert interviews with eight electronics manufacturing companies from industrialized countries. With the results of the interviews, we aim to better understand, which industry 4.0 use cases provide the most value to electronics manufacturers and to what extent they are already implemented.
KW - Applications
KW - Electronics manufacturing
KW - Factory and process automation
KW - Industry 4.0
KW - State-of-the-practice study
KW - Use cases
UR - http://www.scopus.com/inward/record.url?scp=85079069640&partnerID=8YFLogxK
U2 - 10.1109/INDIN41052.2019.8972323
DO - 10.1109/INDIN41052.2019.8972323
M3 - Conference contribution
AN - SCOPUS:85079069640
T3 - IEEE International Conference on Industrial Informatics (INDIN)
SP - 706
EP - 713
BT - Proceedings - 2019 IEEE 17th International Conference on Industrial Informatics, INDIN 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th IEEE International Conference on Industrial Informatics, INDIN 2019
Y2 - 22 July 2019 through 25 July 2019
ER -