PMMI Report: The Top Three Impacts Of AI On Operations
still possible to find solutions to optimize both machine and process performances through traditional methods, but utilizing AI technologies does the same task in a frac- tion of the time.
The growth of AI models will continue to affect the packag- ing industry in a multitude of ways in the coming years, ac- cording to a new report from PMMI Business Intelligence entitled, “The AI Advantage in Equipment: Boosting Per- formance and Bridging Skills Gaps.” Business Intelligence researchers conducted a series of interviews with experts across packaging and processing to find current attitudes and uses of AI within the industry. The key takeaway from these conversations, according to PMMI, is that AI is more of an evolution than a revolu- tion, with human intervention still required to make final decisions. Researchers found three main impacts that cur- rently available AI solutions will have on the packaging industry. Increased Staff Productivity One key advantage for a company implementing AI is that it enables staff to be much more efficient and produc- tive with their time. The AI technology with the most poten- tial to improve this metric is an AI assistant. Time-consum- ing tasks like data entry and coding can now be completed with the help of these assistants. This increases the speed at which projects can be completed, freeing up additional time for staff members to focus on other valuable tasks. Digital twin simulations are another example of this. It’s
The virtual environment allows AI to create and test many different iterations of items, like a specific compo- nent of a machine. This greatly reduces development time
and streamlines the development process. Increased Machine Performance And OEE
Another major impact of AI technology is increasing both machine performance and the overall equipment ef- fectiveness (OEE) of automated technologies. Integrating AI into machine vision systems improves decision-making success rates in processes like quality inspection and al- lows for a wider range of complex tasks to be completed. CONTINUED ON PAGE 60
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