From machine vision and predictive maintenance to digital twin simulations and connected worker platforms, cutting-edge automated systems are redefining what’s possible in food manufacturing.
With manufacturing barely expanding and costs tightening, companies are looking to squeeze every bit of efficiency from their operations. AI-driven optimization of OEE metrics is becoming an essential lever for doing exactly that.
While employees have every right to be sceptical about AI, it’s important to note that integrating AI into existing workflows can enhance productivity and remove the need for time-consuming manual tasks.
Food and beverage manufacturers are discovering that machine learning is a vital ingredient in moving to predictive maintenance strategies. Larger food companies have the jump on digital transformations, but smaller companies are starting small and increasing spending to start the journey.
Food and beverage manufacturers are discovering that machine learning is a vital ingredient in moving to predictive maintenance strategies. Larger food companies have the jump on digital transformations, but smaller companies are starting small and increasing spending to start the journey.
With robot automation, processors gain the versatility to accommodate all the preferred cuts for different market segments without the cost and time of working with an inflexible dedicated system.
FOOD ENGINEERING discusses machine learning, neural networks, Industry 4.0, data governance and other AI concepts in food manufacturing with Markus Guerster, founder and CEO of MontBlancAI.
FOOD ENGINEERING discusses machine learning, neural networks, Industry 4.0, data governance and other AI concepts in food manufacturing with Markus Guerster, founder and CEO of MontBlancAI.
The use of transportation management systems has become crucial in today's supply chain operations to mitigate the impact of unexpected delays, improve communication between stakeholders, and optimize planning for more efficient logistics processes.
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.
The system includes cameras, AI software, a conveyor and automatic ejection mechanisms with dual drops (one for foreign material, one for culls) to ensure only ideal potatoes reach later process stages.