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The new energy vehicle industry is experiencing explosive growth, and the wave of electrification, intelligence, and connectivity (the 'three transformations') in automobiles is reshaping the global semiconductor industry landscape. As the 'nerve center' of automotive electronics, the quality level of automotive-grade chips directly relates to driving safety and user experience. The construction of a quality management system has become a core competitiveness for semiconductor companies to break through automotive certification barriers and seize market opportunities.

Automotive Three Transformations Drive: Domestic Automotive Chip Quality 'Extreme Challenge'

From a functional perspective, automotive chips are mainly divided into four categories: main control chips (MCU/SoC) responsible for computation and control, power chips (IGBT) for energy conversion, sensor chips (CIS) for environmental perception, and memory chips (Memory) for data storage. As shown in the figure below, automotive chips are widely used in key areas such as power systems, smart cockpits, and autonomous driving, supporting the core functions of new energy vehicles.

With the increase in penetration rate of L3 and above autonomous driving, the number of chips per vehicle is growing exponentially, posing unprecedented challenges to the computational performance and real-time response capabilities of automotive chips.

Data from a third-party testing agency shows that automotive chips need to pass over 2,000 reliability tests throughout their lifecycle, with stringency far exceeding that of consumer electronics. The defect rate for industrial-grade chips is typically controlled at one in a million, while automotive chips must achieve a 'zero defect' standard of one in a billion; in terms of supply cycle, automotive chips need to meet a continuous supply capability of over 15 years to match the 20-year lifespan of automobiles.

The high-quality requirements of automotive chips force the semiconductor industry chain to form a precisely coordinated division of labor system. In the supplier system of整车厂, semiconductor companies are usually at the Tier3 level and need to deeply联动 with chip design, wafer manufacturing, packaging and testing, etc. This coordination is not only reflected in technical对接 but also in the standardization of quality management systems.

Currently, the international automotive industry has formed multiple authoritative standard systems, building entry barriers for automotive chips from multiple dimensions, including reliability testing of automotive-grade components, full-process quality management, and failure prevention and management processes from concept design to end-of-life recycling.

Getech Dongzhi QMS: Strictly Guarding Automotive Chip Quality, Winning the Breakthrough 'High-End Game'

Facing the 'extreme' quality challenges of automotive chips, Getech Dongzhi's QMS quality management system (hereinafter referred to as QMS) provides an integrated quality solution for the semiconductor industry chain, with the core concept of 'Quality in One System', covering all business scenarios from R&D, procurement, production, to after-sales, achieving precise control of automotive chip quality through data interoperability and process coordination.

1. R&D, Supply, Production, Service: Full Business Scenario Coverage

Getech Dongzhi QMS has built a complete quality business management system, covering all quality management business scenarios of R&D, supply, production, and service.

R&D Quality Control: Introduce APQP quality early planning in the product design stage, identify potential risks through DFMEA (Design Failure Mode Analysis), ensuring the design方案 meets automotive requirements. A case study of an IC design company shows that through the FMEA module of QMS, the potential risk identification rate in the design stage increased by 40%.

Supply Chain Quality Management: Establish a full lifecycle management system for suppliers, forming a closed loop from准入审核, performance evaluation to continuous improvement. For example: during IQC inspection, automatically associate relevant supplier information (including supplier status, qualified material list, supplier performance, supplier improvement, etc.), achieving source control of quality issues.

Production Process Control: In wafer manufacturing and packaging testing, QMS uses SPC (Statistical Process Control) to monitor key process parameters in real-time. For example, when the CPK value is below 1.67, it automatically triggers an alert, ensuring process stability. After application by a packaging and testing company, the first-pass yield of key processes increased by 3.2 percentage points.

After-sales Quality Traceability: Establish a complete product traceability system, supporting full-chain traceability from finished products to raw materials. When customer complaints occur, the system can locate key information such as material sources and production process parameters of the problem batch within 15 minutes, greatly shortening the problem analysis cycle.

2. Deep Integration of Automotive Standards, Six Tools Empower Product Yield Improvement

As one of the authoritative automotive standards, the IATF 16949 quality management system adds special requirements for the automotive industry on the basis of ISO 9001, covering core tools such as Advanced Product Quality Planning (APQP) and Potential Failure Mode Analysis (FMEA), guiding enterprises from inspection quality to prevention quality. Getech Dongzhi QMS deeply embeds automotive standards into system functions and provides professional solutions for the six quality tools required by IATF 16949:

3. Full-Chain Traceability, Assisting Automotive Customer Audits

Facing the needs of German automotive customers conducting on-site audits according to the VDA6.3 standard, Getech Dongzhi QMS provides full-process business support for audits:

Audit Preparation: The system automatically generates VDA6.3 audit checklists, supporting enterprises to conduct self-inspection and self-correction in advance, with problem identification rate increased by 60%;

On-site Audit: Provides real-time data query function, auditors can quickly retrieve key资料 such as design documents, process records, inspection reports, with audit efficiency increased by 40%;

Rectification Tracking: For problems found in audits, the system automatically generates rectification tasks, associating responsible departments and completion nodes, with rectification efficiency increased by 60%.

4. AI Technology Enhancement, Improving Quality Response Efficiency

Additionally, Getech Dongzhi QMS introduces AI technology to create an intelligent quality response system, upgrading the new paradigm of quality management:

8D Report Automatic Generation: Based on historical case库 and problem characteristics, the system can automatically generate an 8D report framework, with key information filling efficiency increased by 70%;

Quality Trend Prediction: Through machine learning algorithms analyzing historical data,提前预测潜在质量风险, after application by a manufacturing company, the accuracy of process anomaly warnings reached 92%;

Intelligent Knowledge Assistant: Build a quality knowledge base, support natural language queries, provide real-time quality knowledge support for front-line employees, with training costs reduced by 30%.

With the continuous increase in new energy vehicle penetration率, the market space for automotive chips will further expand. Semiconductor companies想要打赢“突围”战, must deeply integrate quality management concepts into the entire product lifecycle, use QMS systems to打通企业质量数据链, strengthen comprehensive quality control, and achieve product quality leap. Getech Dongzhi QMS deeply embeds automotive standards,通过全业务场景覆盖+全链条追溯严把车规芯片质量关, activate AI pulse, promote automotive chip quality management into a new era of digital intelligence, and lay a solid quality foundation for the domestic替代 process of automotive chips.