Analytics: Collecting, filtering and analyzing large amounts of data with AI to obtain previously unknown patterns, correlations and insights.

Prediction: Analytics, connectivity and AI models enhance the ability of a smart factory to predict developments or simulate alternative courses of action for decision-makers in scenario analyses.

Planning & scheduling: AI-based planning and control systems for order, capacity or bottleneck planning significantly increase the output of a production network without investing in machinery or capacity.

Implementation with axxalon flow and axxalon plan

Execution: Virtual robotics automates standard operational execution routines.
Scenarios, measures or decisions taken are executed transparently and automatically.
Humans can make focused decisions based on data and scenarios and retain full control.
Execution is then highly automated.

Implementation with axxalon flow

Connectivity & IIoT: The basis of the smart factory is the connection of system elements to the Internet of Things (IoT).
High connectivity of all elements increases the information density, database and actuators of an application.
The higher the connectivity, the greater the degree of freedom for complex smart factory applications.

Cloud computing: highly complex problems solved by microservices, preferably directly from the cloud.
This means that existing systems from the cloud can be expanded as required and the service is always ready to go.
Smart Factory users benefit from the results and high performance without having to maintain the infrastructure themselves.