Map-based Data Visualization and Business Intelligence Solutions for Transportation

Transcription

1 Map-based Data Visualization and Business Intelligence Solutions for Transportation INFORMS, October 16, 2012 Ravindra K. Ahuja, Ph.D., President & CEO

2 How do Railroads Route Shipments? Shipment of various commodity types between thousands of Origin-Destination Pairs Routed on a Complex Train Network to Minimize Cost and Maximize Service 2

3 How do Railroads Route Shipments? Shipment of various commodity types between thousands of Origin-Destination Pairs Routed on a Complex Train Network to Minimize Cost and Maximize Service 3

4 Railway Business Intelligence System 4

5 Motivation of RailBIS Greater visibility of current operations. What is actually executing in the field. Comparison of service design with actual operations Trend analysis and root cause analysis Components of RailBIS: Shipment Analysis Train Analysis Block Analysis Terminal Analysis One stop-shop for all data analytical need of the Service Design department. 5

6 Shipment Analysis Shipment volumes between any OD pairs of nodes. Trend analysis. Shipment transit time analysis between any OD pairs of nodes. Trend analysis. Ability to filter shipments using various attributes. Measuring service quality. Determining service standards. From high-level picture to lowest level details. 6

7 Train Analysis View actual train volumes (cars, length, and weight) and comparison with design volumes. Perform train volume trend analysis. View block-to-train assignments and design compliance. Determine compliance to train schedules (on-time train originations). View trains added/cancelled compared to design. View train s actual work events and compliance with the design. 7

8 Block Analysis View actual block volumes and compare with design volumes. Perform block volume trend analysis by date and day-of-week. View destinations carried by a block and compliance with the design. 8

9 Terminal Analysis (Future) Perform terminal volume analysis including trend analysis and comparison with design. Determine car dwell time at terminals including trend analysis and comparison with design. View terminal timeline and comparison with the design. View block-to-block connection matrix. View train-to-train connection matrix. 9

10 RailBIS Data Processing Modules Overview Network Data (Nodes, Links, Yards) Shipment Data Warehouse Shipment, Shipment Move Data Train Data Warehouse Train Details Train Route Details Block Data Warehouse Block to Train Assignment MREE Traffic, Trip Plan, Design Train, Block, and Traffic Data MREE to Actual Mapping rules As Needed Daily Daily Weekly As Needed Shipment Data Processing Routine Train/Block Data Processing Routine Actual to Design Mapping Processed Shipment Data - Dwell Analysis - Route Analysis - Volume Patterns Processed Actual Train and Block Data - Productivity/Utilization - On-time performance Actual to Design Comparison - Plan Compliance Fully automated process running daily to keep the system up-to-date. 10

11 RBIS Platform Overview Windows Server 2008 R2 ESRI on line / Bing Windows Server 2008 R2 SQL Server 2008 R2 RBIS Main DB SQL Server Client Protocol ESRI ArcGIS Server 10.x Background / Railroad Maps WCF (HTTPS) On line maps REST (HTTPS) RBIS Client RBIS Local Cache DB (SQL Server Compact) RBIS System DB (IIS User Authentication) RBIS Application Server DevForce App Server 6.1.x IIS 7.5 Windows Server 2008 R2 DevForce Client 6.1.x Silverlight 4.0 (5.0) IE/FF/Chrome/Safari Windows/Mac 11

12 System Overview Web-based map-based application. Cloud application. Multi-user system. Multi-session. Easy to use and easy to learn. Large database and fast response time Big data analytics.net application with scalable architecture. 12

13 Current State Designed, developed and deployed in the past one year. Release early, release often methodology Work very closely with the user to understand and meeting needs. There are 50 users of the system within Service Design at Canadian Pacific. One stop shop to meet the needs of Service Design. Use expected to grow with time as other departments showing interest in the project. 13

14 Case Study: Service Analysis for Customer Stakeholders: Service Design, Customer Service Question: What is the level of service we are offering to a customer? Reason for poor service. Motive: Present facts to customer service. Tool Capability Desired: Ability to select a set of shipments using different filters and determine the service level. 14

15 Case Study: Cost Analysis for Customer Stakeholders: Sales, Costing Question: Is the service provided to the customer cost effective? Motive: Present facts and negotiate the rate with the customer to make the business segments desirable to the railroad. Tool Capability Desired: Select the shipments provided by the customer, and calculate the work effort needed by trains on the route to move the shipments. Ability to fairly account for share of cost due to the shipment over all shipments riding on a train. 15

16 Case Study: Interchange Traffic Stakeholders: Service Design, Sales Question: Where were the shipments interchanged with another railroad finally destined to? Motive: Can the shipments be routed on our network for longer distance without increasing total miles for the shipments? This will bring more revenue. Tool Capability Desired: Ability to select the set of shipments interchanged with a railroad. Ability to group the routes and visualize the routing in map. Further group, filter and drilldown. 16

17 Case Study: Validate Train Design vs. Actual Stakeholders: Service Design, Strategic Planning Question: Is the average actual volume traveling on the train close to design? How are the volume fluctuations? Motive: Low volume requires cancellation, high volume requires running extras. These creates imbalance in locomotive and crew network, thus adding cost. Tool Capability Desired: Ability to compare both average and by day volume of train in design (planning world) and actual (real operations). Ability to review the volumes over the route of the train to identify the troublesome location, and do further root cause analysis. 17

18 Case Study: Relieve the Workload on a Train Stakeholders: Service Design, Yard Team Question: What set of shipments can be moved from the train to relieve the amount of the work performed by the train? Motive: Train has a varied mixture of shipments which require stopping at multiple stops for pickup and setoffs. Need to identify work stations with fewer number of cars and move these on local trains. Tool Capability Desired: Ability to select a train, and review the set of cars (blocks) traveling on the train. Review the work performed on the train (on average, and by day). Drilldown to shipment level to review the volume/route of the shipments. 18

19 Case Study: Start a New Train Service Stakeholders: Service Design, Sales Question: Can we justify starting a dedicated train service between two given locations? Motive: Some clients are asking for better service which can only be addressed by introducing a direct service. However, the volume given by client cannot fill the whole train. Do we have other shipments to fill the train? Tool Capability Desired: Select a corridor and find the traffic passing through. Review the consistency in the volume (volume trend) on the corridor to ensure the train will have consistent volume. Filter shipments further by commodity types and customers. 19

20 Case Study: Closure of a Major Yard Stakeholders: Executives, Infrastructure Teams Question: What is the overall route of traffic flowing through the yard, and what traffic will still be remaining after the closure? Motive: Prepare for alternate routing of traffic in case of inclement weather or other network disruption. Tool Capability Desired: Ability to choose all traffic which go through the yard, and separate out the originating/terminating traffic. Ability to do directional and by corridor analysis. Ability to view the trains carrying the group of shipments. 20

21 Next Steps Make this system an integral part of service designer s tool kit. Make it a complement of current planning system such as MREE. Continuous improvement of the plan through monitoring. Add hotspot prediction capabilities. Use historical trends and current state of the system to predict the future. A V T A R ASSET VISIBILITY TRACKING ANALYTICS (RailBIS) (Optimization) REPORTING 21

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