Defect Rate

Last updated 2026.02.13
불량률Defect Rate품질관리Quality ControlKPIAI검사PPM제조지표

Definition

Defect Rate is a critical quality indicator that represents the proportion of products that fail to meet quality standards out of the total manufactured items. Typically expressed as a percentage (%) or PPM (Parts Per Million), it directly reflects the quality level and production efficiency of manufacturing processes.

Application in Manufacturing

Key Quality Management Indicator

Defect rate serves as the most fundamental yet crucial KPI in manufacturing operations. It is measured by process, production line, and operator to identify problems and prioritize improvement activities.

Manufacturing AI Applications

  • Real-time Monitoring: Machine vision and AI detect defects in real-time on production lines and track defect rates continuously
  • Predictive Analytics: AI learns from process data to predict defect occurrences and detect rising defect rate patterns early
  • Root Cause Analysis: AI algorithms analyze correlations between defect rates and process variables to automatically identify defect causes
  • Automatic Classification: Deep learning-based inspection systems automatically classify defect types, improving defect rate data accuracy

Key Points

Calculation Methods

  • Defect Rate (%) = (Number of Defects / Total Production Quantity) × 100
  • PPM = (Number of Defects / Total Production Quantity) × 1,000,000

Practical Application Examples

  • Semiconductor Fab: Ultra-precise management in PPM units, targeting below 0.1 PPM with AI inspection
  • Automotive Parts: Used as supplier evaluation criteria, requiring defect rates below 0.5%
  • Electronics Assembly: Real-time defect rate dashboards by line, automatic alerts when exceeding 1%