Corrective Action

Last updated 2026.02.13
시정조치Corrective ActionCAPA품질관리Quality Management근본원인분석Root Cause Analysis8D제조AIManufacturing AI예방조치

Definition

Corrective Action is a systematic improvement activity in manufacturing to eliminate the root causes of non-conformities and prevent recurrence. When issues such as defective products, equipment failures, or customer complaints occur, it involves not just addressing the immediate problem but analyzing why it happened and implementing systematic improvements.

Application in Manufacturing

Implementation Process

  • Problem Identification: Detection of defects, customer complaints, equipment anomalies, process deviations
  • Root Cause Analysis: Utilizing 5Why analysis, Ishikawa diagrams, 8D problem-solving methodology
  • CAPA Development: Quality assurance teams and shop floor personnel collaborate to design improvements
  • Implementation & Verification: Apply corrective measures and monitor effectiveness in preventing recurrence

Practical Examples

  • Standardizing welding parameters and retraining operators after welding defects
  • Improving production planning systems following repeated delivery delays
  • Resetting inspection equipment calibration cycles after measurement errors

Manufacturing AI Integration

AI-powered corrective action systems transform reactive responses into proactive prevention. Machine learning algorithms learn from historical non-conformance data and CAPA records to automatically infer root causes and recommend the most effective corrective measures. Natural Language Processing (NLP) analyzes customer complaints and work logs to uncover hidden patterns, while computer vision automatically classifies defect types to reduce CAPA initiation time. Real-time process data monitoring enables early detection of non-conformance indicators, facilitating preemptive corrective actions. This AI-driven approach significantly enhances the speed and accuracy of problem resolution in manufacturing environments.