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Oseco Case Study - Delivering Condition Monitoring with Seebo - Seebo Industrial IoT Case Study
Oseco Case Study - Delivering Condition Monitoring with Seebo
Oseco were completely new to Industry 4.0, Oseco needed to find a lean and quick method for successfully implementing condition monitoring.
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Reducing Downtime with Predictive Analytics - Seebo Industrial IoT Case Study
Reducing Downtime with Predictive Analytics
To improve production capacity and avoid downtime, a global biotechnology manufacturing company implemented Seebo Predictive Analytics.The company’s quarterly operations review revealed a 3.6% increase in downtime during production. This downtime stemmed from an unexplained viscosity in one product in the production line.The resulting pipeline blockages between the reactor and the centrifuge in the production line led to more frequent equipment cleaning procedures and stoppage during the batch production, high levels of waste, a decreased capacity, and lengthened time to market.The investigative team could not identify a reason for the blockage, as all relevant production parameters were in the approved working range.
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