The orders for an important customer have again not been completed on time. Instead of the planned five days, production now takes seven days. Other orders should also have been completed long ago. At the same time, other areas of the factory appear to be underutilized and unit costs continue to rise. Classical Lean and Six Sigma methods can help address these problems, but with ever increasing complexity and digitalization, these approaches are reaching their limits.
Therefore, it is necessary to combine established methods with new capabilities of data analysis and Data Mining to optimize production and logistics processes. One promising Data Mining method for process optimization is Process Mining.
Successful production thrives on efficient processes. Being future-proof is the key success factor.
io brings decades of project experience and cross-sector know-how from strategy to implementation to this complex field.