Transcript PROMISE @ Product Lifecycle Management and Information Tracking using Smart Embedded Systems EU FP6 IP 507100 IMS 01008 © November 2004

PROMISE
@
Product Lifecycle Management
and Information Tracking
using Smart Embedded Systems
EU FP6 IP 507100
IMS 01008
© November 2004
1
Product System
flows
Design
Processes are designed,
Information
The 4 phases
flows,
of acomplete
product system
resources
Material
flows
used and products
orlife
incomplete
cycle
produced and treated in each phase
Production
DFS
DFMA
Use &
Service
@
End-of-Use
DFE
Process
Process
Process
Process
Resources
Resources
Resources
Resources
Product
Product
Product
Product
Materials
Service
Re-use
Re-mfg
Recycling
Disposal
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PROMISE:
@
Closing the information loops
DESIGN
PRODUCTION
MOL
EOL
Proces
s
Process
Process
Process
Resourc
e
Resourc
e
Resourc
e
Resourc
e
Produc
t
Product
Product
Product
Materials
Service
Re-use
Re-mfg.
Recycling
Disposal
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PROMISE enabling technologies
@
tomorrow (2005 – 2010)
 A possible & feasible approach:
Applications based on PLM systems enabled via PEID and
wireless Internet
PEID
PLM system
Reader
Internet
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Ideas in a nutshell
@
Initial product info is
written in the product
embedded device
Product delivery
Producer’s
PDKM Producer’s
PDKM
Producer’s
PDKM
Embedded
device
Wireless Internet
connection between
mobile device and
producer’s PDKM
@
Wireless connection
between mobile device
and product embedded
device
Update information in
the embedded device
and in the producer’s
PDKM
Service &
maintenance
A certified agent for
service or End-Of-Life
operations
End-Of-Life
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The PROMISE approach
-
Sensors
Tags
Memory
Data
@
- PLM agent
- Knowledge agent
- DFX agent
- Data
Producer’s
PDKM Producer’s
Embedded
device
- Info
- Advice
- PLM system
- KB repositories
PDKM
Producer’s
PDKM
- Info
- Info
- Data
Internet
(long distance)
Wireless comm.
(short distance)
- Info request
- Semantics
- Ubiquitous computing
- Diagnosis
- Decision making
e-transformation of information to knowledge
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PROMISE
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Vision
 To develop a new generation of PLM system
that
 uses smart embedded IT systems,
 allows the seamless flow and transformation of
data and information to knowledge.
 To allow all actors in a product’s lifecycle to
manage and control product information
 at any moment of its lifecycle,
 at any place in the world.
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PROMISE
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Mission
 to allow information flow management to
go beyond the customer
 to close the product lifecycle information
loops
 to enable the seamless e-Transformation
of Product Lifecycle Information to
Knowledge
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Product ID:
@
some questions
In general, a smart product should be able to answer questions like:
 Who are you?
 Who created you?
 Who owns you now?
 What kind of a product are you?
 Do you contain hazardous materials?
 Who repaired you?
 What has been happening to you?
 When are you going to expire?
 What is your destination?
 When should you arrive at your destination?
 Are you on the right route?
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Product ID:
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more questions
Products, or product components must be able to communicate
their relationships to other "things".
This enables a smart product to answer questions like:
 To which order do you belong?
 To what shipment do you belong?
 To what sub-assembly do you belong?
 What service procedure was carried out on you?
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Product information
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available anywhere at any time
Product-centric information management:
 Concentrating information around product instead of
around companies
 Enabling information sharing, easier access and
management of the data
 Product information updates performed in real-time
 Product life cycle management becomes easier
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PEID Research
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 High class PEID: tags with ID and other sensing
functionalities
 PEID system protocols for maximum robustness
and performance
 PEID longevity and reliability
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PEID Related Software Research
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 Data filtering, collection and event triggering models
 Aggregation strategies (i.e. how do we check if a PEID is linked
to the product, to a product component, etc)
 Distributed information services for managing product data
 Extended Product Data specifications to include product
instructions/recipes
 Distributed decision making/decision support strategies based
on availability of real time product data
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Standardisation
@
as an integration element
 Standardisation is one of the key integration
elements of the IMS PROMISE project
 Standardisation issues will be the main part of
the agenda of the planned IMS PROMISE
workshops
 Standardisation will be also an element of
collaboration with the ATHENA IP on
interoperability and other external projects.
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Standardisation issues

@
Pre-normative and standardisation issues will be
addressed in PROMISE at four levels:
 Hardware (PEID) – ISO 18000
 Firmware, D2D, D2B – IMS Centre
 Software (interoperability, security) - ATHENA
 System (product policies, environmental
issues, lifecycle management) – ISO 14000
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PEID Applications Research
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 Characterisation of the nature of product data
generated/accessible from PEID tagged items
 The role of PEID in real time response
 EOL: impact of product information on effectiveness of EOL
processes (e.g. disassembly)
 EOL/MOL: impact of product information on the
effectiveness and nature of reverse logistics processes
 BOL: impact of product information on guidelines for
product design improvements
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Truck predictive maintenance demonstrator
at CR Fiat
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REMOTE
DIAGNOSTIC
LINK
MAINTENANCE
Information and clustering of
data
GPS
Signals
MISSION
PROFILE ID.
MAINTENANCE
ON DEMAND
GSM/GPRS
PEID
MISSION ANALYSIS
COMUNICATION WITH CAN
(PEID Engine,PEID Transmission, …)
REMOTE DIAGNOSTIC
LINK (WIRELESS)
GROUND
STATION
IDENTIFICATION OF INCOMING ANOMALIES
IDENTIFICATION OF MISSION PROFILES AND
CORRELATION WEAR / DRIVING STYLE
Engine
usage
profile
Consumption
analysis
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IMS-PROMISE
@
why an IMS proposal ?
 Products are global
 Used locally
 Production is global
 Production units are local
 Service & maintenance is global
 Performed by local agents
•
End-Of-Life is global
 Performed by local agents
Global sustainabilty of product systems
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PROMISE IMS structure
@
PROMISE IMS
assembly
All IMS partners
PROMISE IMS board
All regional
coordinators
PROMISE IMS
coordinator
BOMBARDIER - CH
EU
SINTEF
Modeling
Hw & Sw
CH
EPFL
DFX
USA
U. Milwaukee
e-Service
e-Maintenance
Japan
Toyota Motors
Product Life Cycle
Modeling &
Simulation
Australia
IRIS
EOL
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IMS PROMISE
regions & partners
@
Japan
Research partners (University of Tokyo, Waseda University, Chuo University) will develop
the product life cycle models, simulation algorithms and tools for the validation of the
PROMISE developments.
Industrial partners (Ricoh, Toyoda Machine Tools, Toyota Motors) will contribute as endusers mainly for testing the results produced in Japan. All of the Japan industrial partners are
well known global players in their respective sectors of activity.
USA
Research partners (University of Wisconsin-Milwuakee, Stanford University, University
of Michigan) will develop e-Maintenance and e-Service web-enabled systems used in the
MOL phase of a product’s life cycle.
Industrial partners linked with the Intelligent Maintenance Systems Center (IMS) run by
the above academic organisations will provide the necessary input from the industrial point of
in the above activity.
AUSTRALIA
Research partners (IRIS) will develop EOL management systems.
Industrial partners (MTI, AEEMA) linked with IRIS will provide the necessary input from the
industrial point of in the above activity.
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IMS PROMISE
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regional collaboration
Requirements and Specifications
CH
EU
USA
AUS
MOL
EOL
Information
Modeling,
Architecture,
Implementation
DFX
Logistics/
Decision making
PEID technology
Prototypes and Demonstrators
Japan
Modeling and Simulation
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PROMISE
@
Workplan architecture
Management
Management
RC-1
RC-2
RC-3
RC-4
AC-1 : EOL
Sectorial Application scenarios (Auto, EEE, Rail, …)
AC-2 : MOL
Sectorial Application scenarios (Auto, EEE, Rail, …)
AC-3 : BOL
Sectorial Application scenarios (Auto, EEE, Rail, …)
IC-1
Integration & Standardisation activities
IC-2
Business development activities
TC-1
Training activities
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PROMISE
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Clusters & Actions
Research Clusters:
specifications, theoretical foundations and methodologies
 Research Cluster RC-1: PROMISE system architecture and
modelling




Action RC-1.1: PROMISE system architecture
Action RC-1.2: PROMISE lifecycle modelling
Action RC-1.3: Product information flow modelling
Action RC-1.4: Definition of application scenarios
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PROMISE
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Clusters & Actions
Research Clusters:
specifications, theoretical foundations and methodologies
 Research Cluster RC-2: Product Embedded Information Devices
 Action RC-2.1: PEID Core
 Action RC-2.2: PEID Customisable application specific prototypes
 Action RC-2.3: PEID pre-industrialisation
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PROMISE
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Clusters & Actions
 Research Cluster RC-3: IT Infrastructure, Models and Software





Action RC-3.1: Design and Architecture
Action RC-3.2: Security and Privacy
Action RC-3.3: Communication and Interoperability
Action RC-3.4: Data Management
Action RC-3.5: Deployment, Test and Evaluation
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PROMISE
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Clusters & Actions
 Research Cluster RC-4: Methodologies for Information and
Knowledge Treatment & Decision Making
 Action RC-4.1: Concept and methods for transformation of information
to knowledge
 Action RC-4.2: Methodology to support PROMISE specific KM
processes
 Action RC-4.3: Requirements of decision making during BOL, MOL
and EOL
 Action RC-4.4: Development of decision making methods and
algorithms
 Action RC-4.5: Implementation of the PROMISE information
management system
 Action RC-4.6: Consolidation and integration of evaluation results from
the application clusters
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PROMISE
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Clusters & Actions
Application Clusters:
development of application sectorial demonstrators
 Application Cluster AC-1: EOL (End-of-Life)
 Action AC-1.1: EOL information management for monitoring of End of
Life Vehicles
 Action AC-1.2: EOL information management for heavy load vehicle
decommissioning
 Action AC-1.3: EOL information management for tracking and tracing
of products for recycling
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PROMISE
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Clusters & Actions
 Application Cluster AC-2: MOL (Middle-of-Life)
 Action AC-2.1: MOL information management for predictive
maintenance for trucks
 Action AC-2.2: MOL information management for heavy vehicle
lifespan estimation
 Action AC-2.3: MOL information management for machine tools
 Action AC-2.4: MOL information management for EEE-1 (“brown”
goods)
 Action AC-2.5: MOL information management for EEE-2 (“white”
goods)
 Action AC-2.6: MOL information management for Telecom equipment
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PROMISE
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Clusters & Actions
 Application Cluster AC-3: BOL (Beginning-of-Life)
 Action AC-3.1: BOL Demonstrator #1: DfX in the railway sector
 Action AC-3.2: BOL Demonstrator #2: adaptive production in the
automotive sector
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PROMISE
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Clusters & Actions
Innovation Clusters
 Innovation Cluster IC-1: Integration and Standardisation
 Action IC-1.1: Integration and harmonisation of efforts with external
projects
 Action IC-1.2: Standardisation
 Innovation Cluster IC-2: Business development
 Action IC-2.1: Consolidation of PROMISE results and solving of IPR
issues
 Action IC-2.2: New innovative business opportunities identification and
modelling
 Action IC-2.3: Exploration of potential market for new business
opportunities
 Action IC-2.4: Evaluation of the considered business opportunities
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PROMISE
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Clusters & Actions
Training Cluster
 Training Cluster TC-1: Training
 Action TC-1.1: Develop training concept
 Action TC-1.2: Develop training delivery mechanisms
 Action TC-1.3: Develop a web facility for training and external relations
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PROMISE
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Integrating clusters
R C M ile sto n e s
T e ch n ica l
A nnex
R esearch clusters
I1
C1
D em o
D e fin itio n
A p p li
sce n a rio s
D efine S pecs
P erfo rm R T D
M a n a g e m e n t & C o n tro l
(In te rn a l, E C , A u d its)
AC
M ile sto n e s
E v a lu a tio n F e e d b a ck &
R e co m .
M a rke t
FEEDBACK
A1
P. 3
A ppli clusters
IC M ile sto n e s
R ealise D em o s
P erfo rm E val
T C M ile sto n e s
A2
RTD
D e liv e ra b le s
P. 8
S ta n d a rd s
Inno C lusters
A p p li
D e liv e ra b le s
O1
E xplo it R esults
O2
D e liv e ra b le s
fo r E x p lo ita tio n
A3
T raining C luster
D evelo p T raining C o ncept
D eveo p T raining M aterial
D issem inate R esults
D e liv e ra b le s
fo r D isse m in a tio n
O3
A4
E x te rn a l
P ro je cts
M1
M 2 P a rtn e rs
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Legend
PROMISE Roadmap to Results
Formalisation
Main Deliverables
TC-1
Training concepts
IC-2
IC-1
TIPs & Business Plans
Standardization domains
& Roadmap
AC-1
to
AC-3
PROMISE Demonstrators
Design & Roadmap
RC-4
Concepts for Knowledge
Transformation
PROMISE Information
Management
RC-3
Fully Functional
Controller
RC-2
Standardization Initiatives
& Activities
Application scenarios
Requirements analysis
PROMISE Information Management
Implementation
intra-enterprise software
infrastructure
PROMISE Information
Management Validation
inter-enterprise software
infrastructure
PEID prototypes
Implementation
System specifications
and modeling
Month 12
PROMISE Demonstrators
Evaluation
PROMISE Demonstrators
Implementation
PEID prototypes
Month 0
Adoption
Training Delivery
Mechanisms
Business Opportunities
& Roadmap
Market Investigations
@
Implementation
Possible synergy with ATHENA and IMS PROMISE partners
Activities
RC-1
Concepts
More general result
Software Infrastructure
validation
PEID Validation
Consolidated modeling
Month 24
Month 36
Month 42
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PROMISE
@
Contact Details
Asbjørn Rolstadås (Project Coordination)
Phone: +47 73 59 37 85 Fax: +47 73 59 7117
E-mail: [email protected]
Bjørn Moseng (Project Administration)
Phone: +47 73 59 37 97 Fax: +47 73 55 1326
E-mail: [email protected]
SINTEF Technology and Society
S. P. Andersens veg 5
N - 7465 Trondheim, Norway
Phone: +47 73 59 03 00
Fax: +47 73 59 03 30
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@
Thank you !
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