Customer challenge
A key KPI for measuring line performance is TRS (Taux de Rendement Synthétique ) or OEE (Overall Equipment Effectiveness).
On the production line studied, the OEE is calculated in real time, but we observe that it fluctuates wildly from one hour to the next, and is ultimately mediocre when we check its average value. Different teams are involved: automation, quality, maintenance, laboratory, operators, and each has its own idea of the reasons for this flotation. Who’s right? What changes need to be made to achieve rapid (and inexpensive) improvement?
Technord’s solution
All available data sources are inspected, and the resulting Machine Learning analysis objectifies the ideas of the various teams and eliminates misconceptions. In addition, potential solutions are listed and prioritized according to their direct impact and cost.
Gain for the customer
The OEE has a direct impact on the return on investment of the process. Solutions are chosen on the basis of the potential increase in OEE, which is assessed (on the basis of historical data) and its ease of implementation. The OEE is then increased step by step, as is the return on investment.