ASSYST

Automatic supply chain:
Continuous analysis, simulation, and optimization

A tool for supply chain managers for the automatic modelling, analysis, and monitoring of supply chains is to be developed. The model produced identifies any dependencies within the supply chain network, quantifies these, and if appropriate, categorizes them as system-critical. The idea is that with the assistance of intelligent algorithms, dependencies on external factors – such as the economic climate, political situation, weather, and traffic – are integrated into the model. Simultaneously, interfaces are automatically generated via which the companies can securely share data among each other. For example, business partners with whom there is a supplier relationship would be able to provide production and delivery rates, facilitating a dynamic picture of the current supply and sales situation in real time.

The supply chain model is becoming significantly more precise because correlations between external and internal data are found through machine learning processes. These enable a continuous simulation of the model, so that increasingly more precise recommendations for action can be given automatically.

Funding

This project is funded by the Federal Ministry for Economic Affairs and Energy
via the Central Innovation Programme for SMEs (ZIM).