TY - JOUR
T1 - Investigating the Potential of Smart Manufacturing Technologies
AU - Zenisek, Jan
AU - Wild, Norbert
AU - Wolfartsberger, Josef
N1 - Funding Information:
The project ”Smart Factory Lab” is funded by the European Fund for regional development (EFRE) as part of the program ”Investing in Growth and Jobs 2014-2020”.
Publisher Copyright:
© 2021 Elsevier B.V.. All rights reserved.
PY - 2021
Y1 - 2021
N2 - Over the past years, the topic of smart manufacturing has been in the focus of researchers and manufacturing experts. Smart manufacturing describes the technology-driven ability to solve existing and future problems in a collaborative manufacturing infrastructure, which responds in real-time to meet changing demands. However, many companies are still unsure what smart manufacturing entails and which potential (and challenges) it holds. To get an insight into the issues addressed, a technology laboratory for the development of innovative technologies and concepts for intelligent production along the product life cycle was established at University of Applied Sciences Upper Austria. This paper offers an insight into the challenges and lessons learned from a 6-year research project where a subset of smart manufacturing technologies have been collaboratively investigated, including Mixed Reality, Additive Manufacturing and Predictive Maintenance. With our work, we want to support companies in better assessing the potential of smart manufacturing.
AB - Over the past years, the topic of smart manufacturing has been in the focus of researchers and manufacturing experts. Smart manufacturing describes the technology-driven ability to solve existing and future problems in a collaborative manufacturing infrastructure, which responds in real-time to meet changing demands. However, many companies are still unsure what smart manufacturing entails and which potential (and challenges) it holds. To get an insight into the issues addressed, a technology laboratory for the development of innovative technologies and concepts for intelligent production along the product life cycle was established at University of Applied Sciences Upper Austria. This paper offers an insight into the challenges and lessons learned from a 6-year research project where a subset of smart manufacturing technologies have been collaboratively investigated, including Mixed Reality, Additive Manufacturing and Predictive Maintenance. With our work, we want to support companies in better assessing the potential of smart manufacturing.
KW - additive manufacturing
KW - augmented reality
KW - predictive maintenance
KW - smart manufacturing
UR - http://www.scopus.com/inward/record.url?scp=85101771046&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2021.01.269
DO - 10.1016/j.procs.2021.01.269
M3 - Conference article
AN - SCOPUS:85101771046
VL - 180
SP - 507
EP - 516
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 2nd International Conference on Industry 4.0 and Smart Manufacturing, ISM 2020
Y2 - 23 November 2020 through 25 November 2020
ER -