No. Process Mining primarily uses the digital traces that are already generated in your MES (Manufacturing Execution System) or ERP system (such as SAP PP). Every feedback from a work step, every material movement, and every transfer is enough to visualize the process in real time. No hardware upgrades are necessary.

A classic OEE measurement tells you that a machine is stopped or running too slowly. Process Mining tells you why. We link machine data with upstream logistics and order processes. This way, you can see if the machine is stopped because material is missing from the warehouse, a setup process was planned incorrectly, or there was a quality bottleneck in the previous step.

Yes. Modern Process Mining algorithms support so-called "Object-Centric Process Mining." This means we can map complex relationships: when 10 components become an assembly (convergence) or an order is split across three machines (divergence), our system represents this correctly and transparently.

Yes, even especially well. Especially in complex variant manufacturing or batch size 1, classic analysis methods (like time studies) lose track. Since we rely on the digital traces of each individual production order (Case ID), we reconstruct the exact sequence for each individual product and make specific bottlenecks and rework visible.

This primarily depends on the configuration of your BI system and your source systems. In practice, we usually load the data in short, fixed cycles (e.g., hourly or every 15 minutes) into your Power BI or Qlik dashboard. This "near-real-time" setup is completely sufficient for dynamic shift control and bottleneck analysis, while also protecting the performance of your productive MES/ERP systems.