Data – and intelligence-based factory self-regulation systems are on the rise, and humans are shifting roles to better fit into this cycle.

Interface Intelligence: It’s really interesting that AI has been changing our lives because many of their applications are in factories that we don’t see on a daily basis. Can you share some interesting stories?

PM592-ETH Federico Torti: Of course. I think one of the most prominent applications of AI is in optical inspection and quality control, which for some industries means moving from reliance on human labor to full automation, which not only reduces operational and labor costs, but also revolutionizes the way human resources are managed.

Quality inspection is a stressful job, tedious and error-prone, because it often requires workers to move quickly and perform repetitive tasks. As a result, the adoption of automation not only reduces human error, but also improves overall product quality and significantly reduces customer complaints through a standardized view. Automated optical inspection can also generate data to optimize upstream production processes or equipment Settings, thereby reducing product defects and customer complaints. As a result, machines provide reliable data to drive upstream design and production adjustments.

PM592-ETH

PM592-ETH Even more exciting is the dynamic optimization of production planning and supplier scheduling. When the logistics link is disrupted, the information is captured and shared, and the AI model can then adjust the material purchase strategy among suppliers to assess its impact on production plans.

Another notable case is in the Philippines, where a factory uses artificial intelligence systems to collect weather forecasts and warnings online, make predictions and responses to natural disasters, such as predicting their impact on production planning, logistics and transportation, and then take preventive measures. For example, in case of increased volcanic activity, shut down air treatment facilities in advance to avoid dust clogging. These systems have dramatically improved the way companies operate.

There are many exciting cases documented in our white paper, more than 700 in total, which demonstrate the breadth and far-reaching impact of AI applications.