As one of the most complex scenarios in industrial manufacturing, the semiconductor industry has extremely high requirements for product quality to achieve "zero defects" and pursue ultimate yield.

From Sand to Chip: How Many Quality Barriers to Cross

The upstream of the semiconductor industry chain mainly consists of supporting industries, while the midstream, semiconductor manufacturing, is the core, including chip design, wafer manufacturing, and packaging/testing; downstream involves applications. The long chain and multiple steps mean quality defects at any stage can cause failures. Common challenges include:

Data Silos, Hard Traceability: Quality data is scattered across 10+ systems (e.g., MES, ERP, LIMS), making traceability time-consuming and difficult;

Supply Chain Risks: Multi-tier supplier networks often have disconnected quality data, affecting stability and reliability;

Yield Pursuit: Nanoscale parameter fluctuations can cause yield collapse, impacting customer satisfaction;

Change Management: Frequent tech upgrades require rigorous traceability and risk control;

Data Value Loss: TB-level historical data lacks smart tools to uncover parameter-yield correlations.

GETECH QMS covers the full semiconductor lifecycle, integrating value chain information flow

Amid intensifying global semiconductor industry competition and accelerating technological iteration, quality management has become pivotal for semiconductor enterprises to enhance their core competitiveness. Traditional decentralized quality management models face multiple pain points, including inefficient quality management operations, fragmented data that cannot be centrally managed or effectively utilized, a lack of horizontal/vertical coordination across stages, insufficient tools for group-level quality management, and mounting pressure to comply with key customer quality requirements.

As a leader in industrial AI for semiconductors, GETECH QMS addresses industry specifics by structuring four layers: decision, management, execution, and application, building a full lifecycle quality system that integrates information flow and eliminates data silos.

For common challenges, GETECH QMS offers targeted solutions: 

Full Lifecycle Closed Loop

Implement quality management across the entire semiconductor product lifecycle, vertically integrating quality information chains from the group level to departmental units, while horizontally synchronizing quality business processes from market demands to R&D. Establish a unified, standardized, integrated, and intelligent decision-support platform centered on quality, enabling group-wide, process-wide, and lifecycle-wide quality operations.

Supplier Quality Management

Release Approved Vendor Lists (AVL) through supplier qualification processes, establish supplier performance evaluation and audit mechanisms, and leverage a supplier interaction platform to obtain quality agreement documents, hazardous substance reports, and Continuous Improvement Program (CIP) reports. Foster tighter quality collaboration between enterprises and suppliers through supply chain synergy optimization.

Production Process Control

Integrate Work-in-Progress (WIP) data from fabs and packaging/testing facilities, perform Statistical Process Control (SPC) monitoring, analyze outlier data, and generate Electronic Out-of-Control Action Plans (E-OCAP). Drive quality anomaly improvements through Material Review Board (MRB) processes and quality exception handling mechanisms.

5M1E Change Management

Standardize change activities and change process management during production, focusing on the six factors affecting product quality fluctuations—Man, Machine, Material, Method, Environment, and Measurement. Address current issues of uncontrolled or inadequately identified changes.

Customer Management

Implement 8D improvement management for customer complaints, ensuring closed-loop execution of Customer Special Requirements (CSR). Monitor Return Material Authorization (RMA) processes and automatically deliver Production Part Approval Process (PPAP) documents to customers via the system.

AI Engine-Driven

Leverage AI technology to empower quality management’s digital-intelligent transformation. Support automatic generation of post-sales 8D reports based on historical case libraries and issue characteristics, enable quality trend prediction through algorithmic analysis of past data, and construct a quality knowledge base to provide real-time quality support for employees.

Full-Chain Delivery, Value Realization, Showcasing Strength

GETECH QMS has full-chain delivery capabilities, covering materials, design, manufacturing, packaging/testing, and equipment. It has secured 20 projects with top firms, demonstrating strong service capabilities.

Case Studies

Top IC Design Firm: Upgraded customer portal, supplier, and service management, improving efficiency by 20%

12-inch Fab Project: Improved quality by 10%, process efficiency by 20%, and work efficiency by 30% through integration;

Packaging/Testing Firm: Enhanced incoming inspection and production quality, improving efficiency by 30%.

Semiconductor competition is about quality precision. GETECH QMS enables full lifecycle management, uses AI for acceleration, solves traceability issues, and achieves proactive risk management, reducing market and tech risks. It is a cornerstone for high reliability and yield. GETECH will leverage QMS to open new efficiency spaces.