Description – Challenge #1
Keywords: Machine Occupancy, Process Planning, Process Simulation, Fuzzy Logic, Process Mining
Category: Proof-of-Concept Project
The production process of one of our partners in the continuous production is highly manually operated. The processing of raw material through the production line is planned weekly. Still, it often needs fast and flexible adaptions within the process. This creates high manual effort and leads to an efficiency loss.
The process includes 15,000 parameters and different up-and downstream variables that lead to multiple possible production processes across multiple machines. The industry partner aims to get an (AI-powered) process simulation and planning that facilitates the correct machine occupancy and allocation of the raw material mixes in the different machines.
The simulation shall recommend the best possible way through the production based on the weekly production plan. It should lead to a faster process, and a double-check with the feasibility of the production plan. The complexity of this challenge lies in the multiple parameters and the effects on them across the whole production line instead of just optimizing one machine. A good user interface should accompany the simulation for various stakeholders to plan work orders.