Manufacturers using Predictive Analytics

PREDICTIVE ANALYTICS WIPRO Applying Thought How manufacturers are moving from monitoring to predicting using data? Less than 50% of manufacturers use predictive data analysis capabilities I. Less than 40% use data analytics to find solutions to production problems What does this imply? While data collection from monitoring is common, manufacturing companies need to use data analysis to predict issues or solve problems Meritor wanted to reduce its reject parts per million by roughly 50% over a period of 3 years Wanted to reduce from 139 PPM in 2013 Communicated with Controllers Řeal Time Collected and Acted on data related to traceability to Improved Shop-Floor Pročess « « 75 PPM in 2016 IMPACT: 0% ZERO DEFECT RATE. During the year from March 2013 to March 2014, the York factory of Meritor had a zero defect rate. ON-TIME 98% DELVERY RATE This also permitted improvement of the on-time delivery rate to 98% - the best for any Meritor plant. 67 REJECT PPM LOWERED The company's overall reject PPM lowered to 67 in the first quarter of 2014, well below the 2016 goal. Source: Manufacturing and the data conundrum, an Economist Intelligence Unit report commissioned by Wipro Wipro helped improve customer satisfaction and reduce downtime for a global consumer electronics & appliances OEM By using predictive analytics on machine log data We are scaling this engine to fuel about 150 service use cases to 1 $ Improve Revenue Increase Operational ((U Efficiency Improve Customer Satisfaction 2 DO BUSINESS BETTER CONSULTING | SYSTEM INTEGRATION BUSINESS PROCESS SERVICES © Copyright 2014.Wipro Limited NM/MAR/JULI4 >>