Semiconductor Chip Manufacturing Industry Solutions - Semiconductor Chip Intelligent Manufacturing - Semiconductor CIM Solutions - Semiconductor Factory - GETECH

Semiconductor Chip Manufacturing Industry

Leveraging next-generation information technologies such as big data and artificial intelligence, we fully tap into internal data resources and the potential of high-end equipment to provide integrated solutions for semiconductor manufacturing factories, enabling the transition from high-end manufacturing to high-end intelligent manufacturing.

Industry Pain Points

1. Data Silos in Production Sites

Semiconductor factories generate vast amounts of data from information systems and automated processes. Production decisions increasingly rely on data analysis, making data's role more critical. However, bottlenecks in data extraction, storage, and organization persist, making data collection and organization time-consuming and labor-intensive. Moreover, data exists independently across systems, making it difficult to integrate and perform comprehensive analysis.

2. High Equipment Maintenance Costs

The semiconductor industry is a typical capital-intensive sector with a large number of expensive, mainly imported equipment. Unexpected downtime results in significant losses. Under market pressures for high performance and low cost, existing high-cost equipment 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 improving equipment utilization efficiency.

3. Time-Consuming Data Analysis

Semiconductor processes are complex with numerous influencing factors and intricate interrelationships, requiring extremely high precision in process control. This demands highly reliable and interpretable data analysis results. However, there are few big data application examples in the semiconductor industry, lacking deep integration of business and big data technology. Talent with combined OT and IT skills is scarce, and professional data mining and analysis tools are lacking.

4. Quality Reliance on Manual Experience

Yield is the 'lifeline' of the semiconductor industry, yet most factories still rely on manual experience for quality monitoring. Subjective human inspection leads to large quality deviations, slow detection speeds, and high labor intensity affecting accuracy and efficiency, limiting overall production efficiency and precision. High employee turnover, long training times, and rising labor costs make reliance on manual methods unsustainable.

Solutions

1. Equipment Control Management System
Through secondary development of equipment interfaces and software using IoT sensors and other technologies, compatible with international standard communication protocols in the semiconductor industry, real-time high-frequency collection of equipment data is achieved. This enables centralized equipment permission management, difficult equipment material control, program parameter verification, automatic production control, and equipment alarm and lifecycle management.

2. Production Execution Dispatching System
Model and manage factory basic information; verify process accuracy, process equipment, and control waiting times to prevent quality degradation due to excessive waiting, reducing the risk of whole-wafer batch yield and the cost of entire wafers; real-time aggregation of core production reports on production and quality, multi-dimensional analysis and display of factory production status, and analytical management from manufacturing, process, quality, equipment, and other departments.

3. Quality Yield Monitoring System
Built on proprietary technical solutions, it establishes a modern quality management system, addressing quality issues in intelligent manufacturing from a full industry chain perspective to meet high-quality product demands. Establish a quality control system for forward quality monitoring and reverse anomaly traceability management of suppliers, incoming material quality, R&D quality, lab quality, process quality, shipment quality, and customer quality, optimizing process flows, reducing quality risks, and cutting waste costs.

4. Eastern Intelligence Digital Factory Operating System (GOS)
GOS is the technological driving force empowering enterprise digital transformation, promoting smart factory upgrades. GOS provides next-generation core technology capabilities including but not limited to cloud computing, industrial IoT, industrial big data, industrial AI, industrial RTC/AR/VR, blockchain, and RPA.

Related Products

Customer Value

Case Studies

Full-Factory Computer Integrated Manufacturing (CIM) Solution Empowers the Creation of a Benchmark 8-inch Semiconductor Factory in China

As a high-precision industry, semiconductor manufacturing features high process stability requirements, high equipment overall efficiency demands, and strong inter-process correlations. Each manufacturing step generates vast amounts of data. In the wave of domestic chip replacement, optimizing processes, reducing defect rates caused by complexity, and improving chip quality and reliability are core pain points for Chinese semiconductor companies.

GETECH, through deep analysis of the customer's full-factory manufacturing processes and operational requirements, provided an integrated CIM solution. Using digital transformation and industrial internet technologies, we enhanced core competitiveness, integrated process data, achieved end-to-end planning, procurement, and manufacturing pull-through, enabled rapid internal and external system collaboration to meet challenges. GTECH planned a 3-phase informatization project for the customer's 8-inch factory, starting from core production and operational needs, gradually integrating systems like EAP Equipment Automation Management System, MES Production Execution Management System, SPC Statistical Process Control System, EQP Equipment Inspection System, OEE Equipment Efficiency Management System, and future systems needed for yield ramp-up such as FDC Equipment Process Parameter Failure Management System, QMS Quality Control Traceability System, MCS Material Dispatching System, DSP Automatic Dispatching System, APS Automatic Planning System, and RPT Data Reporting System, achieving full-factory IT system integration. GETECH's CIM integrated solution enabled dynamic equipment management, precise logistics management, efficient planning collaboration, transparent production execution, and accurate quality traceability. Meanwhile, GETECH's highly available, highly reliable industrial internet platform products helped the customer successfully advance digital transformation step by step, applying GETECH IoT, AI, and big data platforms to accelerate the upgrade from high-end manufacturing to high-end intelligent manufacturing.

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