MAKE | Supply Chain Analytics
OEE measurement and root cause analysis
OEE is a standard metric for measuring manufacturing equipment effectiveness, combining three key factors:
The aim is to identify improvement areas and enhance equipment productivity.
Maximize utilization and efficiency of manufacturing equipment.
Minimize equipment downtime and production defects.
Lower operational costs through improved efficiency and quality.
(Run Time / Planned Production Time) × 100%
(Ideal Cycle Time × Total Count / Run Time) × 100%
(Good Count / Total Count) × 100%
Using machine learning feature importance to identify OEE improvement factors:
Data Prep
Collect & train ML model
Feature Analysis
Identify top-ranked features
Root Cause
Investigate key factors
Validation
Test in real-world settings
Iterate
Implement & monitor
Follows CRISP-DM methodology - highly iterative, aligns with agile principles
Monitor & control using statistical methods
Forecast patterns in equipment performance
Identify factors affecting efficiency
Combined metric (world-class: 85%+)
Non-operational time reduction
Products meeting quality standards