Digital Twin for Food Processing Packaging Line

Title

Digital Twin for Food Processing Packaging Line

Content

The Fourth Industrial Revolution has begun! France industrial economy is backsliding—the share of GDP generated by industry has dropped 10 points since 1980 to less than 14%, according to a recent French government report—but factories can make a comeback with more agility, optimization, and continuous value extraction from data. The steam engine, electric power, and the first personal computers reshaped the face of industry. Today, the widespread use of interconnected digital systems is propelling industry into its fourth historic revolution. When surveyed, 80% of business leaders expect these new tools to have a significant impact on their businesses, mentioning more precise monitoring of production, productivity gains, and improved responsiveness to customer needs. This revolution is happening because data can now be sent continuously over the Internet to feed powerful analysis tools, and computing power has increased to the point where data can be processed and answers provided in real time. A machine can be connected to an entire production chain and perform a multitude of perfectly controlled industrial tasks autonomously. By continuously analyzing the thousands of operations required to manufacture a product, artificial intelligence can detect the slightest deviation and help humans make decisions when faced with information overload. AI becomes an agile and effective supervisor, automatically identifying any anomaly on a production line and optimizing processes to save time, materials, and energy. CEA-List drives this digital industrial revolution with collaborative robots, digital twins, and the Internet of Things. Digital twins enable virtual simulation and real-time monitoring of production environments, allowing AI systems to detect deviations, predict equipment failures, and optimize quality control across manufacturing and food processing supply chains.