User Case Study – CEP in Dynamic Resource Management

1. User Case Study – CEP inDynamic Resource Management Alan Lundberg TIBCO Software Inc.

2. Key Constraints • Yards & Ramps Trains (over 3,000 active per day) Crews (6,000 to 8,000 per day on trains) Cars (over 107,000) Tracks (32,000 miles)

3. Dynamic Resource Management Concept • Each train demands the 5 critical resources over time • For a train plan to be effective, all trains must have all resources allocated • As the train schedule moves, the resource demand moves Resource Supply Dimension  Train Demand Dimension  Time  Train Schedule Crew Assignment Locomotive Assignment Terminal Resource Allocation Network Capacity Allocation Car Assignment

4. Sample Train Resource Allocation

5. Network OperationsVelocity - MPH Good Hurricanes Bridge Fire Storm Damage PRB Issues Floods Blizzards 2005 2006

6. Business Pain • Less than half of all network schedules achieved • Track velocity = 17 mph. Every increase in 1 mph = • Hired many crew members last year to improve schedules – huge cost (fixed) and now customers over-schedule and use crews unwisely • Workforce issues and logistics • Appear at capacity but a system of over-schedule • Backup ramification to car management – terminal congestion – fuel consumption – dwell location – intermodal SLAs etc.

7. Concept Modeling for Dynamic Resource Management

8. Case Study Monitoring and Optimizing: Trains, Track Segments, Crews, Terminal Locations, etc

9. Dynamic Resource Management Case Study • All parts of a complicated process are monitored from end-to-end • There is a lack of : • Visibility into the overall process • Notification if something is down • Correlating activities from various unrelated applications • Increased need for: • Tracking history • Compliance and governance • Correlation of unrelated events • Root cause analysis • There’s always a plan…. but things never go according to plan