High-tech electronics & semiconductors

Full-process intelligence: Covers the entire chain of design, manufacturing, and testing, enabling AI-driven intelligent production scheduling, process optimization, and real-time monitoring, thereby enhancing overall efficiency.
High precision and high yield: Through big data analysis and machine vision inspection, precise control of process parameters, significant reduction of defect rates, and guarantee of product consistency.
Flexible production: Supports rapid switching among multiple varieties and small batches, meets the customization and rapid iteration requirements of the semiconductor industry, and shortens the delivery cycle.
Predictive Maintenance: Utilizing IoT sensors and AI algorithms to predict equipment failures, reducing unplanned downtime, extending equipment lifespan, and lowering maintenance costs.
Green manufacturing: Optimizes energy and material consumption, reduces waste emissions, and complies with global carbon neutrality trends and environmental protection regulations.
Data-driven decision-making: Integrating all-link data, constructing digital twin models, helping enterprises respond flexibly to market changes, and accelerating technological innovation and capacity upgrading.

Demand Insights

The integration problem of multi-source equipment, with numerous brands of production line equipment, significant differences in communication protocols, and the absence of standard interfaces for old equipment.

The real-time response capability is insufficient, and traditional polling-style communication cannot meet the precise process requirements.

The process formula management is chaotic, with the formula versions lacking effective control, and the error rate of manual maintenance is high.

The product change process is lengthy, with numerous approval stages for engineering changes and a long approval cycle.

Equipment maintenance is passive, and the accuracy rate of predicting key equipment failures is low.

Scheme architecture

Centered on the MES manufacturing operation platform, it connects systems such as PLM (product design), APS (planning and scheduling), ERP (procurement/inventory), WMS (warehousing), QMS (quality), and SCADA (equipment integration), achieving digitalization of the entire production process; through standardized interfaces, it realizes data exchange across systems, covering the end-to-end information chain from suppliers to customers. 。

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Typical case

Huawei Microelectronics

Weika

Kairui

Xingke

Zhonghuanxingke

Shandong Tianyue