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A leading domestic 12-inch chip manufacturing enterprise (annual capacity over 500,000 wafers), focusing on the R&D, production, and sales of main control chips, MCUs, power management chips, and RF chips.

In the process of rapid expansion and meeting the 'zero defect' requirements for chips, the enterprise urgently needs to build a digital quality management system that complies with stringent standards like IATF 16949 to support its high-quality, high-reliability chip production goals. However, the existing traditional quality management model faces severe challenges:

Quality data silos: Quality-related data is scattered across ERP (receiving), WMS (warehousing), and multiple isolated systems, with systems not interconnected, lacking effective integration means, making it difficult to form a global quality view.

Lack of incoming inspection methods: The existing system lacks systematic management of the IQC process, with gaps in supplier material quality risk control.

Outdated process control methods: SPC relies on offline tools like Excel, with low efficiency, error-prone, difficult traceability, lacking real-time monitoring and warning capabilities, failing to meet strict process stability requirements.

Opaque change processes: Missing links between 'man-machine-material-method-environment-measurement' change processes and other systems, unclear change situations, and difficult control of change impacts.

Difficulty in quality analysis: Paper records and scattered data limit analysis dimensions for quality issues (e.g., defect distribution, repetitive fluctuations, root causes of quality loss), leading to delayed preventive improvements.

System operation efficiency needs improvement: Core quality processes like internal audits, management reviews, ECAR exception handling forms, and 8D reports rely on offline operations, with low efficiency, poor collaboration, and difficult knowledge retention.

High pressure from customer audits: Lack of system support for IATF 16949 six core tools (APQP/FMEA/CP/MSA/SPC/PPAP) and VDA 6.3 audit requirements, resulting in long preparation cycles and high pressure for customer factory audits.

Addressing the challenges faced by enterprises and the stringent quality control requirements of chip manufacturing, Getech provides a QMS solution deeply integrated with semiconductor industry experience and IATF 16949 standards.

1. Build a 'Quality in One System' unified platform

Full-process quality coverage: The system covers the entire lifecycle quality management from R&D, procurement (supplier certification/material certification), incoming (IQC), process (SPC, OQA, non-conforming product handling/MRB/EAR), change management (ECRB), system audits (internal/external/management reviews), after-sales feedback, and 8D improvements.

Deep integration: Connects existing core systems like ERP, WMS, MES, breaking data barriers, achieving automation and closed-loop management of quality data flow.

2. Deeply embed standards and industry best practices

IATF 16949 & six tools implementation: The system has a built-in process framework compliant with IATF requirements, providing professional, structured management tools for APQP, FMEA, Control Plan, MSA, SPC, PPAP, ensuring effective standard execution and data integration.

VDA 6.3 audit empowerment: Offers complete audit planning, execution, finding tracking, and rectification closure functions, significantly improving efficiency and confidence in handling VDA 6.3 process audits for OEM customers like German ones.

Semiconductor-specific process solidification: Specially optimizes quality processes unique to semiconductor manufacturing, such as new machine/program move-in (ECRB), high-precision calibration and measurement management, and strict environmental monitoring.

3. Data-driven and intelligent analysis

Unified data standards and master data: Establishes enterprise-level quality data standards, integrates scattered data, and builds a single source of truth.

Real-time SPC and quality warnings: Achieves real-time SPC monitoring, automatic anomaly detection, and warnings for key process parameters, shifting from post-analysis to pre-prevention.

Management dashboard (quality portal): Provides real-time quality KPI dashboards for different roles (e.g., supplier PPM, process yield/CPK, audit pass rate, issue closure rate), supporting quick decision-making.

The implementation of Getech QMS has brought significant digital quality improvements and business value to the enterprise:

20-day rapid delivery: Leveraging rich experience and expertise in the semiconductor industry, quickly reuses 80% of standard modules, achieving an industry speed of '20-day launch' for core modules in phase one, helping the enterprise completely bid farewell to traditional paper-based management and enter a new era of comprehensive digital quality management.

Dual optimization of quality efficiency and cost: Quality processes (e.g., ECAR, 8D, audits) are online and standardized, improving processing efficiency by 30%+, significantly reducing paper costs; automatic collection and centralized management of quality data increase data utilization by 50%+, laying the foundation for in-depth analysis.

Leap in chip quality assurance capability: Achieves end-to-end quality visibility, control, and traceability from 'incoming' to 'shipment', effectively supporting the 'zero defect' goal for chips; through real-time SPC and rapid exception response closure, significantly reduces process fluctuations and quality risks.

Significantly enhanced audit competitiveness: IATF 16949 and VDA 6.3 requirements are deeply embedded in the system, ensuring system operation compliance, with complete and instantly retrievable evidence chains; successfully helps customers efficiently pass strict on-site audits from key clients, receiving high praise and winning critical trust for business expansion.

Supplier collaboration and incoming quality improvement: Establishes systematic supplier准入, evaluation, improvement, and supplier COA import, IQC management processes, strengthening supplier quality control, guiding suppliers to participate in system application, reducing incoming material risks.

Knowledge retention and continuous improvement: Quality data, experience, and cases are effectively retained in the system, forming corporate knowledge assets, empowering a culture of continuous quality improvement (CQI).