AI Driven Equipment Failure Prediction System
Our client is one of the leading Bike manufacturing companies, headquartered in Japan. They have global supply of Bikes and multiple manufacturing factories across various countries.
Problem Statement
Client was struggling to manage unplanned downtime due to unforeseen breakdowns of machines. The machine operators were easily managing it still the overall cumulative cost impact was very
high.
Our solution
We recommended building an AI driven predictive maintenance solution using the digital twin technology to understand patterns from IOT sensors, PLCs, Controllers etc. for predictions.
Results
DataFram System helped client in saving cost and increase efficiency of machines & manpower both. Our predictive maintenance solution is capable in forecasting failures even before they occur. This system sends alerts to operators for possible breakdown well before time so operators can quickly act on it save downtime.
The AI driven failure prediction system helped client in planning the schedule maintenance during non-peak hours which saved cost and increased the productivity. The reduction in disruption of production schedule also helped client in provider better services to their customers and manage the delivery timelines.