Waste in production processes often goes undetected. Bottlenecks, unnecessary waiting times or resources that are not used optimally reduce profitability without being visible at first glance.
There is no clear and immediate overview of key performance indicators (KPIs). If data is only available with a delay or not at all, well-founded decisions on process optimization cannot be made.
Data is often still collected manually or is scattered across a large number of different, unconnected systems. This leads to data islands, makes analysis more difficult and prevents a holistic overview of production.
Unforeseen events such as machine breakdowns, material bottlenecks or quality problems require complex and time-consuming ad hoc adjustments. This ties up valuable resources and makes forward-looking planning and sustainable optimization virtually impossible.