Supplier Quality Management
Last updated 2026.02.13공급업체관리품질관리SQM공급망관리입고검사AI품질관리supplier managementquality control
Definition
Supplier Quality Management (SQM) is a systematic approach to managing and improving the quality of raw materials, components, and semi-finished products procured from external suppliers. It encompasses the entire process from supplier selection through evaluation, monitoring, and improvement, serving as a critical factor determining final product quality.
Application in Manufacturing
Key Activity Areas
- Supplier Selection & Certification: Evaluating quality systems, production capacity, and on-time delivery rates to select qualified suppliers
- Incoming Inspection: Blocking defective materials through incoming quality control and early detection
- Periodic Evaluation: Managing supplier ratings based on KPIs including quality performance, delivery, and responsiveness
- Collaborative Improvement: Root cause analysis and joint improvement activities (8D, CAPA) when defects occur
AI Technology Applications
AI-powered supplier quality management dramatically enhances manufacturing efficiency:
- Predictive Analytics: Learning from historical quality data to predict defect probability by supplier
- Automated Inspection: Vision AI-based automated incoming inspection reduces inspection time by 80%
- Risk Monitoring: Real-time data analysis for early detection of quality anomaly indicators
- Supply Chain Optimization: Comprehensive analysis of quality, price, and delivery to recommend optimal suppliers
Key Points
In automotive parts manufacturing, AI-based SQM implementation has reduced defect rates by 60% and shortened supplier evaluation time to 1/10 of manual processes. Effective supplier quality management is a core competency ensuring entire supply chain stability and final product quality.