Enterprise Architecture for Infrastructure network and performance metrics

Enterprise Architecture for Infrastructure network and performance metrics Ajay Nair MBA (S. Illinois Uni), MURP (CEPT Uni) Bindu B. Tech (kerala Uni), MBA (UCF Student)

Agenda 1. Transportation and Enterprise trends 2. Performance metrics for Transit – Next. Gen! 3. Financial and operational efficiencies 4. Systems and Architecture - considerations 5. Sub-systems and integration 6. Real-time data and decision making 7. Summary

1 Transportation and Enterprise trends

going to places Role of ‘me and my wheels’ in the future – It would continue as mixed-mode of transportation (private & public) Need for comprehensive management metrics – strong bottom line and service levels – performance metrics – internal and external – benchmarking with competing modes and operators Did we reach there (efficiently), since mankind started on ‘wheels’ in 4 th Millennium BC. We are still trying to run faster, efficiently individually and collectively to places… for work, play, study, home…. http: //www. america 2050. org/2009/09/where-high-speed-rail-works-best. html

High Speed Travel around the world ! Video Local Motives Where and How Developed anywhere Deployed anywhere Distributed workforce Mobile operations Mobile management!

Larger Region and Faster Transport - choices Fewer hours on Inter-state, Inter-city Travel Dedicated transit corridors and facilities More transit choices – Flexi fuel cars – Short run electric neighborhood ‘carlet’ – Fast intra-city transits – Inter-modal transit stations Mixed facility operations – – Remotely (AMI) & human operated systems – Fuel station - alternatives Questions & Answers - timely? Is that Door open / close? Is that Gate open / close? Is that Motor ready ? when is the next maintenance ? High-volume at new transit stations and handling ?

Public Transportation and Enterprise trends High speed trends Virtual organization communication corridors m. Ticketing, m. Services Supply-chain Marketing, Media channels Customer relationship e-411, e. Support Center ERP: Work. Order, Finance, People Emergency Response Flexi Transport Mixed-mode Transport Collaboration Tools http: //www. america 2050. org/2009/09/where-high-speed-rail-works-best. html

Enterprise Metrics and systems ! Function specific systems High level automation Costly measurements Expensive equipments Asset Scan systems (Storm, fire, manhole) Enterprise Web based portals Mobile personal-ware Distributed Servers/Cloud Data marts, e. ETL, BI Developed/deployed/manage d anywhere Distributed workforce Sub-systems Operation specific AMI Equipment messaging Self managed network Sign Maintenance systems Street furniture maintenance Workflow based system Hierarchic functions Data and Flow dependency Delayed data TCO Performance

2 Performance metrics for Transit – Next. Gen!

Transportation Infrastructure and Management Issues Transportation and Performance Indicators Investment Events Asset Management, Controls, Response Resources Decision Maintenance http: //www. america 2050. org/2009/09/where-high-speed-rail-works-best. html Operations

Transportation, Enterprise and Next. Gen Metrics Enterprise Management Plan Measurement Infrastructure network Operate Maintenance Market Customers Support Develop

3 Financial and operational efficiencies

Performance Portal Inventory of projects Budget utilization rates cost efficiencies investment, resource statistics across nodes Benchmark Network & Nodes (same class) for – Optimum resource use – Investment fund performance – IRR, cash flow, growth rate – Re-investment & performances

Balance Sheets Balance sheet: YTD (t 1 t 2), trends, forecast – Financial, operational and environmental balance sheet Efficiency indicators and dashboards for each operational unit City of Knox, Melbourne Victoria

Transportation Management Metrics Business models for High. Speed transit – Portfolio based investment and operations – New and repeat customer groups – Metrics on Customer loyalty – Information Customer base analysis – CRM on network, cities and regions In-memory, search’able, visualization BI features Real-time Facility Sensor and Metrics RFID IPCam IR Sensor

M 2 M/RMI -for corridor segments & facility

4 Systems and Architecture considerations

Life-cycle and evolution – fast! Manage • Infrastructure • Staff/, comp. • Opr. units • Service, programs • Customer Plan Measure • Infrastructure • Capacity, • MPMA, PQI, SAI • Services • RCI, VCI Implement • Supply-chain • As-built data • Components • Correction/revisions • efficiency • User Enterprise • Master plan • Development controls • Zoning • budget Design • Design versions • Components • Capacity • Service • Links

Infrastructure data (CAD, GIS, DMS, RMI, W/Flow) Enterprise database Enterprise Database Metrics forfor Metrics Neighborhood Corridor (As Built) DMS 360 Scan Doc+Photo Zone+Plan Site Plan DMS Doc+Phot o CAD Design BI DSS GIS CAD Survey BI Cube? GIS Region City Simulation ERP Intra-City Infra. Inter-City Infra. GIS

System design Mobile Materials Tablet PC Display boards PC Operations Finance Supply Maintenance Pg. M DSS User CRM Web Server Application Server Network Transit Segment i. ETL/BI Telematics/AVL Data Mart Segment GIS Server Asset/Facility data Workflow DMS Network/Carrier RFID/RMI Data

database progression Neighborhood Design-Development-Transition – CAD based Design file – As built data – Maintenance information – Operation data mining and drill reports (up and down) Data: change of hands ~ data lost en Where Wh Wh at

Design & Construction Data Evolution for Enterprise BI Need for Object based CAD/GIS as-built database on – Facility/Asset evolution to enterprise – spatial database More sub-systems for mixed-mode transport Integration of sub-systems to support the same ‘Customer’ – CRM and customer loyalty for Operators More dynamic mixed-mode OD data – how and which way ‘they’ move’!

High speed transportation and business issues Business models for High. Speed transit – m. Rail CRM systems for transit – ERP for crew, maintenance, operations and financial efficiencies – Investment portfolio and cost effectiveness Customer base and BI – Mega cities and regional volume based OD nodal network as Service Area – New and repeat customer mapping/GIS – Collaborative media advertisement network IPTv, displays – Usage patterns: • High speed inter-city/node Mass transport • Green intra-city transit http: //www. railway-technology. com/contractors/computer/hansecomm/

5 Real-time data and decision making

Real-time metrics & management Metrics - dimensions 1. Functions 2. Finance 3. Fleet 4. Operations 5. Demand 6. Supply 7. Crew 8. Time 9. Marketing, deals 10. Schedule 11. Customer satisfaction 12. Trend, BI 13. Balance sheet, budget Real-time BI, DSS Management Metrics Operations Accounting Maintenance Network Condition Customer Statistics Decisions Controls Resources Budget Support

Customer mobility changing patterns BI & performance – Flexi Trans! Collaborative data/metrics and Responses • dynamic capacity by segments and service area • Decision support • Route planning & logistics

6 Sub-system and integration

Transportation Management Metrics Information chain – Sensors and direct-data enterprise data integration – Reduce loss and parsing of data – Data Marts for Geo. BI – Mobile data & collaboration Metrics and ETL for decision support system Sensor Data capture forward Data Transmit Data Mart ETL Real-time Facility Sensor and Mterics RFID IPCam IR Sensor Management Metrics

Transportation and Enterprise System Real-time Management BI, Controls, Resources and Decision Management Metrics (Origin/Destination Node network) Metrics by Dynamic Segments Node 1 Network Operations Accounting Node 2 Network Asset Condition Customer Statistics Maintenance Baseline database Decisions, Controls, Resources Simulation DSS Resource Scenario plans

Transportation and Enterprise trends en Wh Where Simulation Functional, operation simulation What-if simulation Physical, systems GIS-CAD simulations DSS matrix Rule tables Decision trees Logic database Collaborative expert systems Resource support – Functional – Operational – Resource supply chains Wh at Image Credit: American Public Transportation Association

Features – we need! order and consistency better logistics industry and networks more accessible supply chains Better efficiency* of a transport system Save transit time, freight cost resources allocation and processes optimization quantitative, objective record of performance build repository of evidence & frameworks * - time, cost, resources, process

7 Summary

Summary Real-time performance measure Monitoring & direct data acquisition Order and consistency Save transit time, freight cost Rational resources allocation Processes optimization Better logistics & efficiency Record of performance - quantitative, objective Reduce ‘Yesterday’s measure’ issues Timely DSS, resource allocation

Thank You Email: ajaykr_nair@yahoo. com Tel: 786 -4448442