Smart scheduling recommender system for process-centric production planning in medium sized enterprises (SRS-4-MSE)

Abstract

SRS-4-MSE is focusing on a process-centric scheduling for MSE in the MEM sector by combining process mining and process simulation algorithms in a recommender system to reduce throughput times with the application of a digital twin. In the Swiss mechanical and electrical engineering industries (MEM), usually ERP modules for scheduling processes based on heuristics are applied in the production planning. Reduction of throughput time with smart digital twins in the production allows for an increase regarding flexibility and responsiveness as well as higher delivery readiness (reduced out-of-stock). First analysis results of the PoC performed with an anonymized offline data set indicated a reduction potential of average throughput times of over 50%.