Knowing how to get started and where to integrate new systems is key to success, as is having a balanced approach that values human expertise alongside technological development.
Artificial intelligence, coupled with machine learning, promises to improve plant operations from sensor level to the enterprise, but adoption has been slow with some overzealous starts.
Many manufacturers are implementing new advancements in automation technology, from artificial intelligence (AI) and digital twins to robotics. But automation depends on people to make the world a better place.
When asked to prioritize technologies, more than 80% of respondents listed every option as essential, underscoring the confusion that prevents decisive action.
With the rushed production schedules at plants, having key process information is not the only data needed, but key device data allows scheduled maintenance.