Industry 4.0 is revolutionizing the food industry through the use of Artificial Intelligence. According to the "Digital Transformation for MSMEs" survey, 96% of micro, small and medium-sized enterprises (MSMEs) facing supply chain challenges said that technology helped overcome them. In addition, 25% reported that technology contributed to increased productivity and efficiency.
This is because Artificial Intelligence provides many advances in the digital transformation of companies. It can be used in predictive maintenance and in the optimization of manual and repetitive production processes.
Predictive maintenance with Artificial Intelligence
Artificial Intelligence can be applied to predict failures in machinery and equipment used in the food industry. Smart sensors installed on machines have the ability to collect a large amount of data in real time. In addition, AI algorithms can analyze this data to identify patterns and anomalies.
Based on these analyses, decisions and corrective measures can be taken before failures occur. Thus, unplanned downtime can be avoided, reducing maintenance costs.
In addition, the waste of raw materials caused by machine malfunctions or production stoppages is also reduced.
If you want to learn more about the solutions and smart sensors for predictive maintenance, read the following article:
Optimization of manual and repetitive processes in the food industry
Another important point in the food industry is the presence of manual and repetitive processes that need to be monitored and optimized. If your company fits into this aspect, Artificial Intelligence associated with computer vision will be your greatest ally.
These technologies are capable of monitoring manual and repetitive assembly processes in real time. With this, each step performed is validated on each operator's monitor and audible and visual alerts are issued whenever one of them is forgotten or poorly executed.
With the use of a camera, a computer and Artificial Intelligence, it is possible to eliminate the concept of sampling your manual production and monitor 100% of your production in real time. In addition, analyzing this large amount of operational data makes it easier to identify areas of production that can be improved.
Thus, with the use of this technology, managers can:
Identify bottlenecks in the production line;
Improve the efficiency of cycle times;
Optimize the production sequence;
Suggest adjustments to machine configurations to increase productivity.
Want to know how Artificial Intelligence can optimize manual and repetitive processes in the food industry? Click here to contact us and learn how Macnica ATD Europe solutions can improve your company's production.