Semiconductor Industry Smart Manufacturing - Semiconductor Industry CIM Solutions - Semiconductor Industry Customer Cases - Semiconductor Factory Digitalization

Semiconductor Industry Smart Manufacturing - Semiconductor Industry CIM Solutions - Semiconductor Industry Customer Cases - Semiconductor Factory Digitalization - Gechuang Dongzhi -- Copy

Semiconductor Manufacturing Industry

Centered on new-generation information technologies such as big data and artificial intelligence, fully tap into internal data resources and the potential of high-end equipment, providing integrated solutions for semiconductor manufacturing factories, enabling the transition from high-end manufacturing to high-end smart manufacturing.

Industry Pain Points

1. Production Site Data Silos

Semiconductor factory information systems and automation processes generate vast amounts of data, with production strategies increasingly relying on data analysis, making data's role more critical. However, bottlenecks exist in data extraction, storage, and organization during manufacturing, consuming time and effort. Moreover, data remains isolated across systems, making it difficult to integrate and analyze comprehensively.

2. High Equipment Maintenance Costs

The semiconductor industry is capital-intensive with numerous, mainly imported, expensive equipment; abnormal downtime causes significant losses. Under market pressure for high performance and low cost, existing high-cost management methods are unsustainable. Additionally, current systems struggle with real-time visual monitoring and centralized management of multiple production lines and machines in fabs, leaving room for improved equipment utilization efficiency.

3. Time-Consuming Data Analysis

Semiconductor processes are complex with many influencing factors and intricate relationships, requiring极E��Eprecision control and highly reliable, interpretable data analysis results. However, there are few big data application examples in the industry, lacking depth in combining business with big data technology, and a scarcity of talent with OT and IT skills, as well as professional data mining and analysis tools.

4. Quality Relies on Manual Experience

Yield is the lifeline of the semiconductor industry, but most factories rely on manual experience for quality monitoring. Subjective human inspection leads to large quality deviations, slow speed, high labor intensity affecting accuracy and efficiency, limiting overall productivity. High staff turnover, long training times, and rising labor costs make manual methods unsustainable.

Customer Value

Dynamic Equipment Monitoring
Real-time collection and monitoring of equipment and process data with异常颁E��; automated control through system linkage; analysis of equipment downtime reasons; centralized management of equipment parameters.
Precise Logistics Management
Generate incoming inspection tasks based on material types to ensure quality; precise logistics配送Eaccording to plans with error-proof loading; barcode-based classification and control of production tools to reduce batch mixing risks.
Efficient Plan Coordination
Based on order scheduling priorities, reduce machine changeover time, improve utilization, flow same-order batches together to reduce front and back-end adjustment time; achieve global information central management across factories, displaying real-time production performance and equipment status for timely response.
Transparent Production Execution
Real-time transparency of processes, personnel, and progress; standard recipe management prevents errors; increases product turnover, reduces costs; real-time alarm for abnormalities and dynamic scheduling improves yield and output.
Accurate Quality Traceability
Achieve full production chain正吁Equality real-time monitoring and颁E�� and reverse异常 precise traceability from crystal pulling, slicing, epitaxy to assembly; automatic配方 and verification of equipment parameters and programs.

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Semiconductor Industry Smart Manufacturing - Semiconductor Industry CIM Solutions - Semiconductor Industry Customer Cases - Semiconductor Factory Digitalization - Gechuang Dongzhi -- Copy

Semiconductor Manufacturing Industry

Industry Pain Points

Solutions

Related Products

EAP Equipment Automatic Control System

MES Production Execution Management System

SPC Statistical Process Control System

EQP Equipment Inspection System

OEE Equipment Efficiency Management System

Customer Value

Cases

Whole Factory Computer Integrated System (CIM) Solutions Empower Building China's Benchmark 8-inch Semiconductor Factory

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