半导体芯片制造行业-格创东智让工业更智慧

Semiconductor Chip Manufacturing Industry

With such core and new generation info. technologies as big data and AI, fully releasing the potentials of enterprise internal data resources and high-end equipment, we provide semiconductor factories with integrated solutions to make high-end manufacturing intelligent manufacturing.

Pain Points

1、Production Site Data Silos

Data is playing an increasingly important role for semiconductor manufacturers as the factory info. systems and the automation processes generate large amount of data, and the production side relies more and more on data analysis. Nevertheless the existing bottlenecks made the extraction, storing and organization of process data time and labor consuming. Moreover, data were stored in separate systems which were difficulty to connect and to be comprehensively analyzed.

2、High Operation and Maintenance Costs

The semiconductor industry, being typically asset intensive, has large amount of expensive, mainly imported equipment, which may cause great losses during abnormal downtime. Under the market pressure of high performance and low cost in the semiconductor industry, the existing high-cost equipment management methods are unsustainable. Moreover, the existing system cannot carry out real-time visual monitoring and centralized management of multiple production lines and multiple machines for the wafer factories. There is still room for improving the efficiency of equipment utilization.

3、Time and Labor Consuming Data Analysis

The craft of semiconductor industry is complex with many factors that interconnect and affect the production process. The crafting process demand extremely highly on accuracy to guarantee the high reliability of data analysis. Nevertheless, there are few model cases in the application of big data to semiconductor industry. The integration of business and big data is still superficial because of a lack of talents who understand OT and IT convergence, and a lack of professional data mining and analysis tools.

4、QC Relies on Manual Labor

The yield rate is the lifeline of the semiconductor industry, but most factories are still relying on manual experience for quality control. The overall production efficiency and accuracy is limited due to the flaws of manual, subjective inspections including fluctuating deviations, slow pace, and low accuracy and efficiency caused by high workload. With high employee turnover rate, long training times and increasing labor costs in the manufacturing industry, the reliance on manual labor is unsustainable.

Solutions

1、Equipment Control and Mgmt. Systems
Re-develop equipment interfaces and software using IOT sensors, making all international standard communication protocols in the semiconductor industry compatible. The systems can achieve real-time, high-frequency collection of equipment data, centralized equipment authority mgmt., equipment material control, program parameter calibration, automated production control, equipment alarms and life-span controls.

2、Manufacturing Execution and Dispatching System
modeling mgmt. of basic factory info.; verify the accuracy of process, craft, and process equipment, and control waiting time to prevent quality degradation due to excessive waiting, and to reduce both the risk of whole-batch wafer yields and the cost of wafers; real-time summary and multi-dimensional analysis of core reports on production and quality, to demonstrate production condition and to analyze and manage multiple departments ranging from manufacturing, to crafts, to quality, to equipment and so on


3、Quality and Yield Monitoring Systems
Modern QM systems are built using independent tech. plans to solve the quality problems of intelligent manufacturing from the perspective of the whole industrial chain and to satisfy enterprises’ demands for high quality products. The QC systems can achieve forward quality monitoring and backward anomaly traceability mgmt. of suppliers and the quality mgmt. of incoming materials, R&D, labs, processes, outgoing goods and customers, to optimize craft process, reduce quality risks and the costs of waste.

4、GOS for Digital Factories
GETECH Digital factory operation system GOS is the technology that drives enterprises’ digitalization and factory upgrading. The new generation core tech. platforms that GOS provides include but not limited to cloud computing, industrial IoT, industrial big data, industrial AI, industrial RTC/AR/VR, blockchain, and RPA.

User Value

Cases

Full Factory Computer-Integrated System CIM as the Solution to Build and Empower China’s Model 8-inch Semiconductor Factory

The semiconductor manufacturing, as a high-precision industry, requires highly on production stability and comprehensive equipment efficiency. The production procedures are strongly related, and each procedure can generate large amounts of data. The biggest pain point for Chinese semiconductor industry lies in chip quality and reliability: how in the wave of the “Chinese chips as the alternative”, to optimize production procedure and reduce defect rate by lessen production complexity?

After in-depth analyses with the client on the production crafts and procedures, and the factory operation demands, GETECH has offered the full-factory CIM solution and aims to improve client’s core competitiveness through digital transformation and industrial internet. The procedural data are employed to meet challenges by obtaining end-to-end connection between planning, procurement and production, and by facilitating quick coordination of internal and external systems. GETECH has planned the three-stage informatization projects for the client’s 8-inch factory. Starting from its core production and operation demands, it gradually connects such systems as EAP, MES, SPC, EQP, OEE and so on, and when the production output grows in the future, such systems as FDC, QMS, MCS, DSP, APS, RPT to realize thorough interactions between all the IT systems in the factory.
The CIM solution by GETECH has helped the client to achieve dynamic equipment mgmt., accurate logistics mgmt., efficient planning collaboration, transparent production execution and accurate quality tracing. Moreover, the highly usable and reliable industrial internet platform products provided by GETECH were firstly piloted and then successfully roll-out, to contribute to the client’s digital transformation. With GETECH’s IOT, AI and big data platforms, the factory’s high-end manufacturing briskly enters an intelligent era.

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