Unplanned downtime of the factory production line and unplanned maintenance will bring huge losses to the enterprise. It is impossible for every piece of equipment and machinery to remain unproblematic, but the downtime occurs outside the plan, which not only causes the company to suffer production losses. At the same time, it also drags down production efficiency. Today, when the cost is getting more and more expensive, such unplanned downtime may take a long time to check the repairs, and it will cost a lot of money, which is unbearable for SMEs.
In the Industry 4.0 model, there is a predictive maintenance method that automatically monitors machine wear in real time by placing various sensors on production equipment in a smart factory. By using machine learning algorithms, you can accurately track part and machine replacement times.
Predictive maintenance helps to arrange replacement parts of the equipment before the error occurs, and can arrange for a reasonable replacement time, such as when the machine is idle, without taking up production time. This not only ensures the efficiency of the production line, but also improves the overall agility of the plant.