Just as GPS directions account for live traffic data and evolving road networks to provide reliable guidance, digital process monitoring must account for changes in process conditions and requirements to provide reliable process control. In order to be reliable, it needs to shift to a carefree model framework to enable continuous model alignment within evolving industrial processes.
Digital process monitoring can increase industrial efficiency, sustainability, and profitability. Yet in practice, the reliability of digital process monitoring relies on constant updating and adapting of the underlying models due to evolving processes or environments. A navigation system that ignores road closures or new traffic patterns quickly loses trust. The same is true for digital process monitoring based on static models which quickly lose reliability in dynamic industrial environments.
Early GPS systems required users to manually purchase updated map data to remain reliable. Without those updates, the system confidently guides drivers using outdated map data. Similarly, digital process monitoring that relies on static models risks providing incorrect guidance when processes evolve.
Modern GPS systems solved this problem by building a framework that allows continuous updating based on live traffic feeds, providing drivers with a carefree experience. Digital process monitoring must make the same shift: a Carefree Model framework must be developed which enables continuous model alignment within evolving industrial processes.
Carefree Models Framework Workshop
During this workshop on June 10, we will advance digital process monitoring by defining the Carefree Model Framework with speakers from the process industry and with participants in interactive sessions. What was missing in old GPS systems, what do the modern GPS frameworks rely on, and what value have modern GPS systems brought to drivers? If modern GPS systems have moved from static maps to live, self-updating navigation systems with a carefree experience, what must change in digital process monitoring to achieve the same level of reliability and trust?
Date & time
Wednesday June 10
12:00 Walk-in lunch
13:00 Start program
16:30 Closing, drinks and network
Location
Radboud University, room EOS N01.130
Heyendaalseweg 141 6525AJ Nijmegen
Program
Presentations
- Walk-in lunch
- Welcome & introduction (RU)
- Starting out with digital process monitoring: expectations and challenges (Cirtex)
- Lessons learned from setting up digital process monitoring (not confirmed: KraftHeinz)
- Introduction to Carefree Model Levels (RU)
- Carefree Models: Maintenance (RU)
- Carefree Models: Adaptation (Syndigital)
- Carefree Models: Transfer (Fuqon)
Break
Interactive session
- What is lacking in digital process monitoring?
- What does a Carefree Model Framework rely on?
- What value must a Carefree Model Framework bring?
Collaboration opportunities & closing
Networking & drinks