OBIS Logistics Management Product – Early example

Transforming the Business of Government © 2008 IBM Corporation

OBIS Logistics Management Product – Early example

Note: This graphic is from an US Army CLI presentation

Fully complies with US Army CLOE Standards


Generic Platform Service ArchitectureGPSA – SOA to the Tactical Edge

Low Bit-RateRadio

Networks


Problem sets

Vehicle support Health and Usage Monitoring Systems (HUMS data)

Command and Control

Logistics

IS/IT Maintainers


Generic Platform Service Architecture (GPSA)

Vehicle Data Bus

SensorsEg RFID

Actuators

Vehicle EMU

IBM LinuxProcessor

Bowman

Deployed Maintenance Base

Forward Command post

Notes: • IBM Linux Processors may be replaced by existing kit – Eg Windows Servers!• Vehicle EMU may or may not exist• Vehicle data bus may or may not exist

MQTT

MQTT

MQTT

Bowman

Bowman

Bowman

Vehicle Data Bus

Sensors

Actuators

Vehicle EMU

IBM LinuxProcessor

BowmanMQTT

Bowman

Other Sensors

Vehicle Data Bus

Sensors

Actuators

Vehicle EMU

IBM LinuxProcessor

Bowman

MQTT

Or

Eg. CANbus

Other Sensors


GPSA Architecture

C2 Related Services, Including:•Blue Force Tracking (Radio/GPS)•Messaging – Military and Mail•SSA feed from vehicle to CP•SSA feed from CP to Vehicle - All via Tactical Datalinks (Link 11/16)

Sensor/Actuator - HUMS Information Services

Logistical Information Services, Including:•Tamper-Proof RFID Tag Reader/s•Smart embedded components•Materiel drop-off schedules/routes

IS/IT Infrastructure Management Services

Mic

robr

oker

(S

OA

ES

B)

Comms service

1

Comms service

2

Comms service

3

Vehicle Services Publishing Data

Onboard Users

Remote UsersService extracts from other Platform Applications

Onboard UsersOnboard

Users


Component model: vehicle

Adapter Adapter

IP devices

CANbus J1939 or

OBDGPS

μB

Transmitter

Accelero-meter Logs Apps Resources

Operating Systems

SSMs

PerformanceResponse time trackingLatency

AvailabilityPorts, Networks

Trapd probe

Object Server

Gateway(or adapter)

SNMP traps

SNMP traps

Socket probe

AdapterEvents requiring correlation, etc

Config file handler plug-in

Process

ed Events

Fault reporting UI

Shared situational awareness UI


Maximo

Component model: HQ

UDP

Logs Apps Resources

Operating Systems

SSMs

Object Server

μB

Socket probe

Adapter

Trapd probe

Adapter

Tivoli Integrated Portal

HistoricalEvents

Impact Asset manager

Cognos

CCMDB

Incident focussed dashboard Reporting dashboard

MessageAsset related messages

MetersFirmwareSoftware

Receiver

Gateway

Enterprise Service Bus

Service desk

Logistics applications






TSOMTNMIP

ITM

ITM

ITCAM

Discovery and Dependency data is used to create or extend TBSM’s service models

Events drive the status of a service and can be used to auto-populate the creation a service.

Event content is used to change the status of service health which typically includes severity, numerical values, and others

Business Data is used to both drive service model structures and service health/status

It is used in addition to event data to provide non-infrastructure health of the services and align the service with business support systems.

e2e Service Management – Complete Service Definition


Case Study: Consolidated Operations ManagementUS Air Force


Case Study: Consolidated Operations ManagementUS Air Force


Metropolitan Transportation & Roads Solution Areas

Prospective Business Partner examples

Automatically collect toll charges Implement congestion charging and distance-based

charging schemes

Road User Charging

Develop automated fare collection Create universal/integrated transportation accounts Provide multi-modal transport billing

Integrated Fare Management

Provide asset lifecycle and maintenance management

Improve reliability of transport assets

Transport Asset Management

Transport Information

Management

Exploit analytical capabilities such as the Traffic Prediction Tool

Deliver traveler advice via Internet, 511, PDA, etc. Provide journey optimization and performance reporting


Intelligent Transportation

Road Usage Charging Integrated Fare Management

Distance-based charging

Congestion charging

Road tolling

Multi-modal

Single mode

Asset Management

Traffic Management

Traffic Control

Parking Management

Public Transit Operations

Integrated Transportation Services

Transport Control Centre Traveller Information & Advice

Analytics & Simulation

Enabling

Exploiting

Mobility Services

Public transit

Intelligent VehiclesOptimisation

and Scheduling

Transport Infrastructure Management

Private vehicles

Digital Surveillance


Intelligence Transportation

Road Usage Charging Integrated Fare Management

Distance-based charging

Congestion charging

Road tolling

Multi-modal

Single mode

Public transit

Traffic Control

Parking Management

Transport Control Centre Traveller Information & Advice

Enabling

ExploitingQueensland Motorways

Stockholm

London

Singapore LTA

Dublin

Guangzhou Rapid Transit System

Traffic Prediction Tool: Singapore,

Megaffic Simulator: Kyoto

Aviva “PAYD”

Intelligent VehiclesOptimisation

and Scheduling

Transport Infrastructure Management

Asset Management

Traffic Management

Public Transit Operations

Integrated Transportation Services

Analytics & Simulation

Mobility Services

EindhovenNetherlandsUS States ..

Private vehicles

Digital Surveillance

S3

Documents

OBIS Logistics Management Product – Early example