Digitization and Informatization of Precision Machining Factory

Automation has brought standardized large-scale mechanical parts processing to a very high level, but when the demand for personalized precision mechanical parts processing becomes more and more, new challenges have arisen for precision machining factories. The quality, cost, delivery, and lean perspective of part machining have all become difficult, here are a few examples:

Defective product rate: When the processing batch of mechanical parts becomes smaller, the waste of startup will increase the defective product rate, which will actually reduce the quality; Time will also cause the cost to rise, and the downtime will also cause cost loss. From the perspective of the cost measurement of personalized mechanical parts processing, the cost must be allocated to each batch of products, then the energy consumption in this production plan, Machine efficiency becomes even more important - significantly higher costs; significant drop in delivery capacity: time-consuming process changeovers, downtime, rework, solutions that are already well established in high-volume machining of mechanical parts, are will magnify, causing delivery to drop.

Looking at the requirements of machining and manufacturing of mechanical parts from this perspective, we will find that it is inevitable to optimize the production line of precision machining plants in a larger overall situation, such as: how to maximize the coordination of the machining process of mechanical parts to eliminate the intermediate time and energy. Waste and waste? How to automatically distribute the load when there is equipment down the production line? How to reduce startup waste when the batch reduction quality iteration cycle becomes smaller? How can the time consumption of process changeover be reduced to achieve fast delivery?

Going back to the perspective of the operation of the precision machining plant, you will find that the processing of intelligent mechanical parts must rely on the transparency of information to analyze the problem and connect the data to observe the production line in a panoramic view and find the optimization of the operation of the precision machining plant. .