AI Use Case

Optimise maintenance scheduling

Optimising maintenance scheduling (technicians with the right skill sets, replacement parts, maintenance equipment, etc.) in order to minimise the costs for replacement and/or upgrading of failing or under-performing parts or products.

Function

Operations

General Operations

Benefits

Cost - Asset uptime optimisation,Operational - Increased machine uptime,Cost - Lifecycle maintenance support cost reduction

Case Studies

"Hong Kong Metro System~The Hong Kong Metro saves 800,000 hours annually by optimising engineering work scheduling and resource allocation with AI",Rolls Royce~Rolls Royce plans to predict maintenance requirements for jet engines to improve aircraft efficiency using Microsoft Azure's machine learning,Deutsche Bahn~Deutsche Bahn reduces maintenance cost by 25% and delay-causing failures using machine learning

Industry

Data Sets

Structured / Semi-structured

AI Technologies

Traditional AI,Machine Learning (ML),ML Task - Prediction - Regression,ML Task - Prediction - Binary Classification,ML Task - Prediction - Multi-class Classification,ML Task - Action Selection - Reinforcement Learning

Potential Vendors

Microsoft Azure,KONUX