In complex and/or fast automated machines like assembly lines and packaging lines it can be very hard to notice and find the reasons for minor stops and idling. However these micro stops are often the biggest cause of performance losses and hence reduced OEE. They can be caused by hundreds of different reasons, which makes it impossible to detect them with traditional methods. In this webinar automotive tier-1 Tenneco explains how they use Yazzoom's AI-for-Industries software Yanomaly to notice and quickly pin-point the reasons for increased cycle times in the assembly lines of valves. Yanomaly uses proprietary AI algorithms that detect anomalies in the boolean signals of the PLCs that control such automated equipment. Yanomaly will report abnormal patterns in those control signals, even if they are only a few tens of milliseconds longer than usual.
HOW TO IMPROVE OEE BY DETECTION AND QUICK DIAGNOSTICS OF MICROSTOPS? IN THIS WEBINAR AUTOMOTIVE SUPPLIER TENNECO EXPLAINS HOW THEY IMPROVE OEE OF (SEMI-)AUTOMATED ASSEMBLY LINES USING YANOMALY