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How does PCB factory lean production enter into intelligent manufacturing?

Release date:2022-12-17

The operation of the circuit board factory is to provide customers with FPC flexible circuit board products with high quality and low price. This is what the circuit board operator must consider, and is also the value of the circuit board factory as a whole. Lean production is a kind of operation and production method to continuously improve the operating efficiency of PCB plants and improve their competitiveness, which is closely related to the business objectives of manufacturing units.



The performance index requirements of intelligent factory are defined based on the quantifiability of lean. These are the goals that must be achieved by all concepts such as digital operation, intelligent manufacturing, and industry 4.0. Intelligent manufacturing must be established on the basis of lean operation, automation and informatization, and carry out collaborative management on supply chain management, production and manufacturing links, and operation maintenance of circuit board plants, so as to form "optimization" based on equipment status, production orders, financial costs, etc., and provide "decision support" for operations. It is clarified that intelligent manufacturing must serve the operation of PCB factory and must take the operation strategy of PCB factory as the goal.

Intelligent manufacturing focuses on the waiting, transportation, defect rework, walking, and personnel waste in FPC FPC FPC production, and ensures the production efficiency of the circuit board factory. It ensures the production quality of FPC FPC FPC in terms of automation, and provides flexibility for customer orders. In order to better fulfill customer orders, Cabol Technology has introduced a large number of automated production equipment. The customized production of FPC FPCs has become more and more challenging when it comes to production efficiency and delivery time. Intelligent manufacturing automated production effectively solves the problems of production efficiency and delivery time.