Usage Data Analytics for Human-Machine Interactions with Flexible Manufacturing Systems: Opportunities and Challenges
Varsaluoma, J.; Väätäjä, H.; Heimonen, T.; Tiitinen, K.; Hakulinen, J.; Turunen, M.; Nieminen, H. (2017)
Varsaluoma, J.
Väätäjä, H.
Heimonen, T.
Tiitinen, K.
Hakulinen, J.
Turunen, M.
Nieminen, H.
IEEE
2017
Julkaisun pysyvä osoite on
https://urn.fi/urn:nbn:fi:tty-201903261334
https://urn.fi/urn:nbn:fi:tty-201903261334
Kuvaus
Peer reviewed
Tiivistelmä
Analyzing data from complex production systems and processes can be used in improving existing products, processes, and services, and innovating novel offerings. We report the findings from a six-month case study with a company developing flexible manufacturing systems. During a collaborative development process of a data analytics and visualization tool, our goal was to identify potential metrics, business opportunities, and challenges when utilizing logged data of end-users' human-machine interactions in development activities. Our key contributions include a characterization of the potential usage data metrics to be logged and visualized, identification of opportunities this data entails for business, and discussion about the challenges related to usage data logging in the studied context. Finally, we propose topics that should be considered in the organization before investing in usage data logging in the context of flexible manufacturing systems.
Kokoelmat
- TUNICRIS-julkaisut [18936]