designing and implementing solutions to enhance the smart manufacturing capabilities of the clients it partners with .
“ In the product design and development area we have enabled teams to collaborate on 3D digital designs with partners in real time , using simulation tools to accelerate testing of digital rather than physical prototypes ,” explained Fosbrook . “ In demand planning we have used external data sources to better predict demand and improve forecast accuracy , reducing inventory , product writedowns and missed sales opportunities .”
Across their manufacturing client base , Eviden has :
• Used computer vision to improve speed and accuracy of complex visual product inspection and automate precision measurement tasks .
• Monitored equipment condition in realtime to predict and anticipate failure , enabling pre-emptive corrective action to reduce unplanned downtime .
• Measured energy usage to identify where changes in working practices will deliver cost savings and reduce CO2 emissions . “ In logistics , we are helping clients track inbound material shipments to accurately predict and continually update arrival times and provide quality risk alerts to optimise production planning and scheduling ,” said Fosbrook . “ In the area of field servicing , we have equipped technicians with wearable technologies to deliver accurate part identification and work instructions in their field of view , along with mobile devices to access maintenance jobs , input key asset data and order spare parts on the go .”
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