Whether the models are connected to a PLC data feed,
ERP/MRP/WMS, or RTLS systems, they need to be capable to self-evolve
in order to support the varying environment they represent.
Self-Modifying models are able to detect changes in the external environment and
constantly evolve in order to support the new constraints. An example of an evolving model
would be adding new equipment, changing the pick path in a warehouse, adding a new rack,
inserting a new machine into the flow, or generating a new assembly type.
Live Environments Are Constantly Changing
- New locations are added, equipment modified, rooms expanded, resources modified, schedules changing.
- Predictive analytics require with a high degree of confidence to operate efficiently
- Models and constraints need to self evolve based on the real-time data.
- Adding a new rack, inserting a new machine into the flow should be handled without user interaction.
- Constraints to the added component are learned from the live data feed and applied dynamically to the model.
- Minimum user intervention.
I would like to learn more about SimTrack
and Real-Time Predictive Analytics.