The string‑up process is often unstable and difficult to analyze due to missing transparency across operators, machines, and products. Identifying where excessive breaks, extended string‑up times, or performance deviations occur requires manual analysis and experience‑based assumptions.
As a result, improvement potentials, cost drivers, and efficiency losses remain hidden, slowing down corrective actions and decision‑making.
Our String up Monitoring for POY and DTY (SUM4POY / SUM4DTY) measure and visualize the string‑up efficiency of all machines across the shopfloor.
The solution continuously calculates and evaluates key KPIs such as median string‑up time, number and frequency of breaks, lost production time, and total machine downtime. Performance can be analyzed by machine, operator, product, or time period, enabling targeted benchmarking and comparison.
Machines with high downtime or strong deviations in string‑up performance are automatically identified, providing a clear data basis for process optimization and focused improvement actions.
60–70% reduction in decision‑making and reaction time