With the progress of science and technology, electronic products have been closely related to our daily life and production. From electronic toys to aerospace, electronic manufacturing is indispensable. In the process of electronic product manufacturing, from the wafer production, chip packaging, all kinds of electronic products assembly, for the stability of the electronic products manufacturing technology and electronic products demand is higher and higher.Therefore, in the production process of electronic manufacturing industry, it is more necessary to realize lean production, coordination between planning and logistics, precise logistics pulling distribution, whole-process quality traceability, equipment production data collection and analysis, etc. Fully realize the transparency of the production process and the "intelligence number" management, to provide more accurate and transparent decision-making basis for the decision-makers of the enterprise.For electronic manufacturing industry,  enterprises needs to considering achieve management breakthrough as soon as possible under current environment pressure：

· The pressure of cost control brought about by rising labor costs, raw material costs and customers' continuous price reduction has continuously compressed profit margins；

· Customers have more and more strict requirements for delivery time and how to keep balance between delivery time and inventory?

· Sensitive items in electronic components, environmental protection regulations and product recall regulations, etc., which all make brands request the suppliers to establish a complete quality and material traceability system;

· The customer needs the manufacturer to provide a management execution system to ensure that the quality of the product can be implemented in accordance with the predetermined rules,so as to avoid uncontrollable situations;

· The upgrade and transformation of intelligent factory is imminent. The old management and operation mode of the original factory can no longer meet the requirements of supply management, especially in the aspect of customer personalized demand. Benefit analysis of intelligent manufacturing.

· Full traceability

  Forward tracing: tracing and analyzing the records of materials, processing lines and equipment, operating staff and quality during production and processing; 

  Reverse tracing: tracing the product, warehouse and shipment information of the material according to the batch and production time of the material.

· Real-time information and timely decision making

  Adopt barcode or RFID as carrier to collect logistics, production and quality information in real time；

  Real-time acquisition of material receiving, IQC, warehousing, delivery and wip, semi-finished product inventory information;

  Real-time access to the processing progress of production order, production line and wIP status;

  Obtain yield, through-rate, defect distribution and quality control chart in real time, analyze and improve quality status.

· Automatic error prevention and real-time monitoring

  Process error prevention: avoid skipping, missing station, bad shipment, packing error, shipment error, etc；

  Wrong feeding: SMT error prevention, material preparation error prevention, refueling error prevention, engineering change error prevention；

  Wrong packing: check packing list and accessories；

  Modify translation results.

· Good value-added service for customers

· Key points of logistics innovation:

  Say Goodbye to the traditional manual record, the assignments can be traced;

  Operation process solidified, work efficiency improved;

  Improve warehouse space utilization;

  Inventory accuracy and turnover improvement;

  Accurate data analysis;

  Automation human work Saving.

· Key points of manufacturing innovation

  Analyze the man-hour and man-capacity accurately;

  Provide accurate data to the plan through real-time data acquisition;

  Reduce paper work on site;

  Information tracing system can be implemented;

  Real-time data statistics, reduce statistical work.

· Intelligent data mining (intelligent storage)

  Big data mining, massive industrial data integration;

  Rule deduction and summary, recommend strategies automatically;

  Existed 3D models to optimize workflow;

  Machine learning, artificial intelligence.

· Key points of supplier coordination

  More efficient communication with suppliers;

  Through the delivery label and barcode, the material quality, timely delivery rate and other data can be calculated at any time for each supplier to do evaluation and upgrade;

  Barcode facilitates material information tracking;

  Promote suppliers to improve material quality through supplier evaluation.