Enterprise Architecture for Infrastructure network and performance metrics

Ajay NairMBA (S.Illinois Uni), MURP (CEPT Uni)

BinduB.Tech (kerala Uni), MBA (UCF Student)

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

Transportation and Enterprise trends

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 4th Millennium BC.

We are still trying to run faster, efficiently individually and collectively to places… for work, play, study, home….

High Speed Travel around the world !

Local Motives

Where and How Developed anywhere Deployed anywhere Distributed workforce Mobile operations Mobile management!

Video

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

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

Enterprise Metrics and systems ! Enterprise

Web based portals Mobile personal-ware Distributed Servers/Cloud Data marts, eETL, BI Developed/deployed/

managed 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

TC

O

Performance

Performance metrics for Transit – NextGen!

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

Transportation, Enterprise and NextGen Metrics

Enterprise

Infrastructure network

Operate

Plan

Develop

Maintenance

Customers

Market

Management

Su

pp

ort

Mea

sure

men

t

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 (t1-t2), trends, forecast– Financial, operational and

environmental balance sheet

Efficiency indicators and dashboards for each operational unit

City of Knox, Melbourne Victoria

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 FacilitySensor and Metrics

M2M/RMI -for corridor segments & facility

Systems and Architecture - considerations

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

Infrastructure data (CAD, GIS, DMS, RMI, W/Flow)

Site Plan

Corridor (As Built) Neighborhood

RegionCity

Doc+Photo

GIS

Zone+Plan

CAD Survey

Doc+Photo

CAD DesignGIS

Intra-City Infra.

GIS

Inter-City Infra.

DMS

DMS

Enterprise Database

for Metrics

360 Scan

Simulation ERP

BI Cube?

Enterprise database

for Metrics

GIS

DSS

BI

Transit Segment

System design

Web Server

GIS Server Workflow DMS

Application Server

Network/Carrier

RFID/RMI Data

Data Mart Telematics/AVL

iETL/BI

Network

Asset/Facility data

Materials SupplyCRM

Maintenance

Operations

Segment

Mobile Tablet PC PC Display boards

User DSS

Finance

PgM

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

Wh

ere

What

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 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/

Real-time data and decision making

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

ManagementMetrics

Real-time BI, DSS

Operations

DecisionsControls

Resources

NetworkCondition

CustomerStatistics

Accounting

Maintenance

BudgetSupport

BudgetSupport

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

Sub-system and integration

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 FacilitySensor and Mterics

SensorData captureforward

DataTransmit

DataMartETL

ManagementMetrics

Transportation and Enterprise System

Management Metrics(Origin/Destination Node network)

Real-time Management BI, Controls, Resources and Decision

Operations

Decisions, Controls, Resources

AssetCondition

CustomerStatisticsAccounting

Maintenance

Baseline database

Node 1 Network

Node 2 Network

Metrics by Dynamic Segments

SimulationDSSResourceScenario plans

Metrics by Dynamic Segments

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

Wh

ere

What

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

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