AI & AUTOMATION
1,400 %. That is game-changing for any business . Which means many manufacturers are now looking at how they plug AI and Big Data into their plans for the future .
Q . What is the best strategy for manufacturers striving to realise the value of AI and Big Data in their operations ?
CVH : Process engineers have exceptional domain expertise to put together process models – or Process Digital Twins – and be able to interpret the models . This is the foundation for improving competitive advantage and success with analytics . To drive analytics and improve processes , manufacturers should put together a strategy that can align domain expertise to five capabilities : Analysis - automatic root cause identification accelerates continuous improvement ; Monitoring – early warnings reduce downtime and waste ; Prediction – proactive actions improve quality , stability , and reliability ; Simulation – what-if simulations accelerate accurate decisions at a lower cost ; and Optimisation – optimal process setpoints improve throughput at acceptable quality by up to 10 %.
All process engineers can and need to develop capabilities in analytics and machine learning to remain competitive . Over time , engineers can go from small projects to pilots to multi-plant optimisation with deep application of analytics . Their deep domain expertise provides a
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