To create a new APS system based on optimization algorithms, flexible resources, BPMN processes, and machine learning.
A new generation APS that uses optimization algorithms, artificial intelligence, and BPMN tools to model the organizational processes of a company, optimally utilizes human resources and automatically cleans/refills input data.
The optimization algorithm will receive input data for production scheduling and lot sizing via a fixed API. It will output the start times of operations and their assignment to resources according to the optimization criteria.
A BPMN process verifier will automatically verify user-generated process models within the APS system to catch potential errors in the process design before the process is deployed.