PSIasm/Qualicision is a powerful tool for managing and visualizing multiple resources in chained production processes. An integrated basic scheduling feature allows planning simple workflows. For the planning of more complex work steps of multi-criteria key performance indicators (KPIs) are considered in PSIasm. The integration of Qualicision technology creates added value that combines technological software progress with optimization intelligence.
For this purpose, a Qualicision-based solver was integrated in PSIasm. In the simplest case, the Qualicision solver can initially schedule single-stage operations in sequence, considering different qualitative optimization goals such as urgency, importance, compactness and number of alternatives.
The use of PSIasm/Qualicision allows the automatic creation of planning and decision scenarios, see Figure, which enable an optimization history by means of logging the degrees of goal achievement. This is the basis for the use of machine learning methods paired with the Qualicision learning algorithm.
This can map the respective data situations (order data, deadlines, capacities, utilization levels, setup times, etc.) to the process plans in such a way that PSIasm/Qualicision continuously learns the required process behavior automatically from the interactions with the user and proposes preference settings that are optimally matched and parameterized to the current data situation.