AI Use Case
Optimise maintenance, repair, and operations parts and equipment inventory
Maintenance, repair, and operations equipment inventory optimisation balances kit inventory with predicted maintenance needs in order to reduce inventory costs and minimise obsolete and excessive inventory.
Function
Operations
General Operations
Benefits
Cost - Lifecycle maintenance support cost reduction,Cost - Reduced inventory costs,Cost - Reduced replacement costs
Case Studies
Korean Air ~Korean Air reduces maintenance defect history analysis lead times by 90% and improves on-time performance with machine learning and natural language processing ,Sears ~Sears Appliance Repair Unit gains 5 - 6% productivity by predicting parts required for field worker repairs,UPS~UPS plans to streamline internal operations by tracking every package and asset in real-time using sensors and machine learning,IBM~IBM launches Equipment Maintenance Assistant to predict equipment maintenance requirements and aid technicians in diagnosis and repair using machine learning
Potential Vendors
IBM Watson,IBM
Industry
Industrials
Machinery Equipment And Components
Data Sets
Structured / Semi-structured,Time series
AI Technologies
ML Task - Action Selection - Reinforcement Learning ,ML Task - Prediction - Regression,Machine Learning (ML),Traditional AI