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

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Presentation on theme: "Enterprise Architecture for Infrastructure network and performance metrics Ajay Nair MBA (S.Illinois Uni), MURP (CEPT Uni) Bindu B.Tech (kerala Uni), MBA."— Presentation transcript:

1 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)

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

3 Transportation and Enterprise trends

4 going to places http://www.america2050.org/2009/09/where-high-speed-rail-works-best.html  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….

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

6 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 ?

7 Public Transportation and Enterprise trends Mixed-mode Transport http://www.america2050.org/2009/09/where-high-speed-rail-works-best.html Virtual organization communication corridors High speed trends Customer relationship Supply-chain ERP: WorkOrder, Finance, People Marketing, Media channels mTicketing, mServices Emergency Response Flexi Transport Collaboration Tools e-411, eSupport Center

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

9 Performance metrics for Transit – NextGen!

10 Transportation Infrastructure and Management Issues http://www.america2050.org/2009/09/where-high-speed-rail-works-best.html Maintenance Events Transportation and Performance Indicators Operations Asset Response Investment Management,Controls, Resources Decision

11 Transportation, Enterprise and NextGen Metrics Enterprise Infrastructure network Operate Plan Develop Maintenance Customers Market Management Support Measurement

12 Financial and operational efficiencies

13 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

14 Balance Sheets  Balance sheet: YTD (t1- t2), trends, forecast –Financial, operational and environmental balance sheet  Efficiency indicators and dashboards for each operational unit City of Knox, Melbourne Victoria

15  Business models for HighSpeed 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 Transportation Management Metrics RFID IPCam IR Sensor Real-time Facility Sensor and Metrics

16 M2M/RMI -for corridor segments & facility

17 Systems and Architecture - considerations

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

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

20 Transit Segment System design Web Server GIS ServerWorkflow DMS Application Server Network/Carrier RFID/RMI Data Data Mart Telematics/AVL iETL/BI Network Asset/Facility data MaterialsSupply CRM Maintenance Operations Segment MobileTablet PCPC Display boards User DSS Finance PgM

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

22 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’!

23 High speed transportation and business issues  Business models for HighSpeed transit –mRail 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/

24 Real-time data and decision making

25  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 metrics & management Management Metrics Real-time BI, DSS Operations Decisions Controls Resources Network Condition Customer Statistics Accounting Maintenance Budget Support Budget Support

26 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

27 Sub-system and integration

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

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

30 Image Credit: American Public Transportation Association  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 Transportation and Enterprise trends When Where What

31 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

32 Summary

33  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

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


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