r4 XEM predicts asset availability and identifies drivers of uptime and downtime to improve availability. Asset availability predictions simplify and improve resource and operational planning. Factors driving unplanned downtime and delayed time to repair become demand signal inputs to predictive maintenance. Increases return on capital investment while reducing operational risk and reducing expense.
Core Capabilities
Asset Availability
- View predicted status by day and by item over multiple time horizons in a configurable Common Operating Picture UI
- Automated event prediction with an ensemble of predictive techniques
- Expose drivers of unplanned downtime and delays in time to repair
Predictive Maintenance
- Converts drivers and predictions of downtime into demand signals for maintenance resources and activities
- Optimizes maintenance cycles and resources for fleets for current and futures scenarios
- Inputs to scheduling, resource deployment, and network design
Supply Optimization
- Converts drivers and predictions of downtime into demand signals for inventories and orders for critical parts and materials
- Inputs to supplier network design
Asset Lifecycle Management
- Tracking asset health from acquisition to decommission
- Intelligent replacement and upgrade planning
Benefits
Asset Availability and Utilization
Improved Production and Logistics Throughput
Improved Customer Service Levels
Reduced Operating Expense
