Preventive Action
Last updated 2026.02.13예방조치Preventive Action품질관리Quality Management예지보전Predictive MaintenanceAI품질관리이상감지Anomaly Detection
Definition
Preventive Action is an improvement activity implemented to eliminate potential weaknesses identified in a management system before they cause nonconforming products or services. The key is proactive response to prevent defects before actual problems occur.
Application in Manufacturing
Traditional Approach
Manufacturing sites implement preventive actions in situations such as:
- Process vulnerability analysis: Identifying potential risk factors through FMEA (Failure Mode and Effects Analysis)
- Trend monitoring: Analyzing quality data trends to detect signs of defects
- Horizontal deployment: Applying issues from one line preventively to other lines
- Predictive maintenance: Replacing components before failure when abnormal signs are detected
AI-Enabled Preventive Action
AI technology dramatically enhances the effectiveness of preventive actions:
- Early anomaly detection: Machine learning models detect subtle deviations within normal ranges to predict potential defects
- Predictive quality control: Analyzing process variable combinations to alert conditions with high defect probability
- Equipment predictive maintenance: Real-time sensor data analysis to suggest optimal maintenance timing before failures
- Digital twin simulation: Pre-validating impacts of process changes in virtual environments
Key Points
Difference from Corrective Action: While corrective action addresses problems that have already occurred, preventive action responds proactively before problems arise.
Practical Examples:
- When welding current values trend toward upper control limits, performing equipment inspection and parameter adjustment before defects occur
- AI models detecting subtle characteristic changes in specific raw material lots and preemptively adjusting process conditions
- Implementing preventive maintenance 3 weeks before bearing replacement cycle through vibration data analysis