enterprise architecture for infrastructure network and performance metrics
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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
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