半导体设备制造行业-格创东智让工业更智慧

Semiconductor Equipment Manufacturing Industry

Employing big data, AI and other new-generation, core info. technologies, we help enterprises to unleash the potential of their internal data resources and high-end equipment. We provide semiconductor factories with integrated solutions to make their high-end manufacturing intelligent manufacturing.

Pain Points

1、Production Site Data Silos

Data are playing an increasingly important role for semiconductor manufacturers as the factory info. systems and the automation processes generate large amounts 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 be interconnected and be comprehensively analyzed.

2、High Operation and Maintenance Costs

The semiconductor industry, being typically asset intensive, has large amounts of expensive, mainly imported equipment, which may cause great losses during abnormal downtime. Under the high-performance and low-cost pressure from the market, 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 in the wafer factories. There is still room for improving the efficiency of equipment utilization.

3、Time& Labor Consuming Data Analysis

The craft of semiconductor industry is complex with many interconnected factors that 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 OT-IT convergence experts, 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 such as fluctuating deviations, slow pace, and low accuracy and low efficiency caused by high workload. With high employee turnover rate, long training times and increasing labor costs in the manufacturing industry, relying on manual labor is unsustainable.

Solutions

1、Equipment Control and Mgmt. Systems
Re-develop equipment interfaces and software using IoT sensors, making them compatible with the standard international communication protocols in semiconductor industry. 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 caused by 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 the 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.

Products

User Value

Cases

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A Semiconductor Equipment Enterprise Has Upgraded to Chinese-made, Intelligent Equipment Software, Helped by GETECH

With the rapid development of IT, IoT, big data and AI technologies, the semiconductor factories demand highly on such capabilities of semiconductor equipment as automation, IT, interconnectivity and intelligence. The equipment are expected to provide data to be used for productional operation decision-making such as scheduling, quality control and so on. The equipment are also expected to be automated by production mgmt. systems, to automatically allocate production batch and formula, and auto alert and withhold goods when anomalies occur. The development cycles of semiconductor equipment software, however, are extremely long. The product stability needs to be ensured by powerful software development abilities, and rich experience in production operation is needed to be applied to define functions and design processes. Moreover, the new AI technologies need interfaces from factory equipment, which pose extremely high requirement for software development abilities on semiconductor equipment. Experts in the semiconductor factory are however, mainly from areas of electricity, optics and materials. The lack of IT-OT convergent experts causes slow upgrading and iteration of semiconductor software, thus forming bottlenecks for the digitalization and intellectualization of semiconductor factories.
In its cooperation project with the world leading semiconductor equipment factory, GETECH, joining its semiconductor intelligent production experts, IT experts and semiconductor business consultant team with the client’s equipment experts has developed equipment software interfaces that target to bring advanced scheduling system. The interfaces are compatible with general communication protocols of semiconductor industry and with data interfaces from well-known manufacturers in the industry. Moreover, concerning client’s demand for automated analysis, GETECH developed the easy-to-use user interfaces and visual reports that make user operation more convenient and shorten response time to emergencies.

在格创东智与世界一流半导体设备厂商的合作项目中,格创东智的半导体智能制造专家、IT开发专家和半导体业务顾问团队与客户的设备专家共同开发针对先进排程系统的半导体设备软件接口,兼容半导体行业通用的通讯协议以及行业内知名厂商的数据接口,使得客户在未来进行先进排程系统接入所需时间大大减少。同时,格创东智针对半导体工厂客户所需的自动分析功能开发了简单易用的交互界面和可视化报表功能,使得设备用户能够更便捷地完成操作并缩短对紧急事件的反应时间。

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