Optical materials

Advantages of the plan

Implement full-process process control and traceability, collect real-time key equipment parameters and process set values, and establish strong associations with work orders, batches, machines, and operators.
Improve the quality control level and defect analysis efficiency, and conduct real-time monitoring and early warning of key quality indicators (such as thickness uniformity) through SPC.
The cleanroom environment is compliant with batch production regulations. Real-time records are kept of the environmental parameters (particle count, temperature, humidity, pressure difference, etc.) of the product batches in the production area.
Achieve end-to-end production and agile decision-making, providing full-process data transparency from order receipt, production scheduling, material preparation, process execution, quality inspection to finished product storage and shipment.
Guidelines for material management and error prevention, precise material input instructions (barcode verification, error prevention checks), and complete batch tracking of materials.
Optimize the overall efficiency of equipment and implement preventive maintenance. Real-time monitoring of the operating status, downtime duration and causes of key equipment. Automatically trigger equipment events and generate preventive maintenance plans.

Demand Insights

The process parameters urgently require stability and traceability. The production process is extremely sensitive to even minor changes in the process parameters. Process fluctuations are the main cause of quality differences between batches and the decline in yield.

High-value materials require error prevention measures. The cost of raw materials is high and the requirements are extremely strict. There are concerns about the risks of manual operation, difficulties in batch traceability, and the difficulty in implementing the first-in-first-out principle.

Customer audits and customer complaints. Downstream customers are usually very powerful and have extremely strict requirements for quality traceability. Data collection is time-consuming and labor-intensive, and the credibility of the data is questioned.

The efficiency of defect analysis is too low, and it is difficult to pinpoint the root cause.

Solution Architecture

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Typical Case

Sanli Pu Optoelectronics

Anhui Wanwei De Rigge