Risk Matrix

Last updated 2026.02.13
리스크관리Risk Management예지보전Predictive Maintenance품질관리Quality Management의사결정Decision Support제조AI

Definition

Risk Matrix is a two-dimensional tool that evaluates risk levels and determines priorities by mapping the likelihood of occurrence against the severity of consequences. In manufacturing environments, it serves as a core methodology for visualizing and managing various risks including equipment failures, quality defects, and safety incidents.

Application in Manufacturing

Equipment Management and Predictive Maintenance

  • Failure Risk Assessment: Mapping equipment failure probability and production impact on matrix to prioritize preventive maintenance
  • Parts Replacement Planning: Evaluating critical component failure risks to optimize inventory management and replacement timing
  • AI Integration: Automatically mapping outputs from sensor data-based failure prediction models to risk matrix

Quality Management

  • Defect Type Risk Classification: Categorizing defect types as High/Medium/Low based on occurrence frequency and customer impact
  • Inspection Strategy Development: Applying 100% inspection for high-risk processes and sampling inspection for low-risk processes

AI-Driven Dynamic Risk Management

  • Real-time Risk Updates: AI models analyze production conditions, equipment status, and environmental variables to update risk matrix in real-time
  • Decision Support: Automatic alerts and recommended countermeasures when risk scores exceed thresholds

Key Points

Typical Matrix Structure: Configured as 5×5 or 3×3 grids, determining risk grades through combinations of likelihood (rare to almost certain) and severity (negligible to catastrophic)

Manufacturing Example: When evaluating mold breakage risk in injection molding, likelihood is assessed as 'low' while severity is 'very high' (production shutdown, high repair costs), classified as 'medium-high risk' requiring enhanced periodic inspections