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©© November 2004November 2004 11
@PROMISEProduct Lifecycle Management
and Information Trackingusing Smart Embedded Systems
EU FP6 IP 507100IMS 01008
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End-of-UseUse &Service
ProductionDesign
The 4 phases of a product systemlife cycle
Resources ResourcesResources Resources
Process ProcessProcess Process
Product ProductProduct Product
Processes are designed,resources used and productsproduced and treated in each phase
DFEDFMA DFS
Information flows, completeor incomplete
Recycling
Re-use
Re-mfg
Disposal
Materials Service
Material flowsProduct Systemflows
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@PROMISE:Closing the information loops
MOLProcess
Resource
Product
DESIGNProcess
Resource
Product
PRODUCTIONProcess
Resource
Product
EOLProcess
Resource
Product
Materials
Disposal
RecyclingRe-mfg.
Service Re-use
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@PROMISE enabling technologiestomorrow (2005 – 2010)
A possible & feasible approach:
Applications based on PLM systems enabled via PEID and wireless Internet
Internet
ReaderPEID PLM system
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@Ideas in a nutshell
Product delivery
End-Of-Life
Embeddeddevice
Producer’sPDKM
Initial product info is written in the product
embedded device
A certified agent for service or End-Of-Life
operationsUpdate information in the embedded device and in the producer’s
PDKM
Wireless Internet connection between mobile device and producer’s PDKM
Wireless connection between mobile device and product embedded
device
Service &maintenance
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Producer’sPDKM
Producer’sPDKM
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@The PROMISE approach
- Data
Embeddeddevice
- Diagnosis- Decision making
- Data - Info
- Info
- Info request
- Info- Advice
- PLM system- KB repositories
- Sensors- Tags- Memory- Data
Wireless comm.(short distance)
Internet(long distance)
- Semantics- Ubiquitous computing
- PLM agent- Knowledge agent- DFX agent
ee--transformationtransformation ofof information to information to knowledgeknowledge
Producer’sPDKM
Producer’sPDKM
Producer’sPDKM
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@PROMISEVision
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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@PROMISEMission
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: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 informationavailable 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
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
Data filtering, collection and event triggering models
Aggregation strategies (i.e. how do we check if a PEID is linkedto 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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@Standardisationas 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
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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MAINTENANCEON DEMAND
MISSION PROFILE ID.
MISSION ANALYSIS
REMOTE DIAGNOSTIC LINK (WIRELESS)
GROUND STATION
Information and clustering of data
PEID
GPS GSM/GPRS
Signals
COMUNICATION WITH CAN(PEID Engine,PEID Transmission, …)
IDENTIFICATION OF INCOMING ANOMALIES IDENTIFICATION OF MISSION PROFILES AND CORRELATION WEAR / DRIVING STYLE
MAINTENANCE
REMOTE DIAGNOSTIC
LINK
Engine usage profile
Consumptionanalysis
Truck predictive maintenance demonstratorat CR Fiat
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PREVENTIVE MAINTENANCE
Goal: avoid failure
Example: Engine Oil substitution
High Costs due to materials and manpower
PREDICTIVE MAINTENANCEthe idea
CORRECTIVE MAINTENANCE
Goal: minimize maintenance direct costs
Example: all unpredicted /unpredictable failures
High costs mainly due to machine unavailability and repair time
THE IDEA BENEATH PREDICTIVE MAINTENANCE IS THE IDENTIFICATION OF
SLOW DEGRADATION TRENDS IN THE PERFORMANCE OF SPECIFIC SYSTEMS IN
ORDER TO IDENTIFY WITH A REASONABLE ADVANCE THE NEED OF AN
INTERVENTION.
THIS ALLOW THE OPTIMISATION OF MAINTENANCE INTERVENTION WITH
THE IMPLEMENTAION OF A PERSONALISED MAINTENANCE POLICY
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@IMS-PROMISEwhy an IMS proposal ?
Products are globalUsed locally
Production is globalProduction units are local
Service & maintenance is globalPerformed by local agents
• End-Of-Life is globalPerformed by local agents
Global sustainabilty of product systems
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@PROMISE IMS structure
PROMISE IMS assembly
All IMS partners
PROMISE IMS boardAll regional
coordinators
PROMISE IMS coordinator
BOMBARDIER - CH
EUSINTEF
ModelingHw & Sw
CHEPFLDFX
USAU. Milwaukee
e-Servicee-Maintenance
JapanToyota Motors
Product Life Cycle Modeling & Simulation
AustraliaIRISEOL
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@IMS PROMISEregions & partners
European UnionResearch partners (BIBA, Cambridge University, CIMRU, HUT, ITIA-CNR, SINTEF, POLIMI): system modeling, knowledge management and logistics and decision making. Solution providers (SAP, Indyon, INFINEON, Stockway, InMediasP, COGNIDATA): Indyon, Stockway and INFINEON will develop e-integrated hardware and software infrastructure of PROMISE. SAP, COGNIDATA and InMediasP will be responsible for the Product Data and Knowledge Management issues. Industrial partners (Centro Ricerce FIAT, Caterpillar, Merloni, WRAP, INTRACOM, FIDIA): specifications and requirements tasks, scenario specification and testing & evaluation.
SwitzerlandResearch partner (EPFL): DFX and Product Data and Knowledge Management issues in close collaboration with the respective CH & EU participants.
Industrial partners (Bombardier Transportation, ENOTRAC) are interested in the information flow and management for design, service and maintenance of railway systems.
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@IMS PROMISEregions & partnersJapanResearch partners (University of Tokyo, Waseda University, Chuo University) will developthe 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 end-users 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.
USAResearch 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 theabove academic organisations will provide the necessary input from the industrial point of in theabove activity.
AUSTRALIAResearch partners (IRIS) will develop EOL management systems.Industrial partners (MTI, AEEMA) linked with IRIS will provide the necessary input from theindustrial point of in the above activity.
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@IMS PROMISEregional collaboration
Logistics/Decision making
Information Modeling,
Architecture, Implementation
PEID technology
Requirements and Specifications
Japan
Modeling and Simulation
DFX MOL
Prototypes and Demonstrators
CH EU USA AUS
EOL
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@PROMISEWorkplan architecture
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
Man
agem
ent
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@PROMISEClusters & ActionsResearch Clusters:specifications, theoretical foundations and methodologies
Research Cluster RC-1: PROMISE system architecture and modelling
Action RC-1.1: PROMISE system architectureAction RC-1.2: PROMISE lifecycle modellingAction RC-1.3: Product information flow modellingAction RC-1.4: Definition of application scenarios
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@PROMISEClusters & ActionsResearch Clusters:specifications, theoretical foundations and methodologies
Research Cluster RC-2: Product Embedded Information Devices
Action RC-2.1: PEID CoreAction RC-2.2: PEID Customisable application specific prototypesAction RC-2.3: PEID pre-industrialisation
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@PROMISEClusters & Actions
Research Cluster RC-3: IT Infrastructure, Models and Software
Action RC-3.1: Design and ArchitectureAction RC-3.2: Security and PrivacyAction RC-3.3: Communication and InteroperabilityAction RC-3.4: Data ManagementAction RC-3.5: Deployment, Test and Evaluation
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@PROMISEClusters & 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 knowledgeAction RC-4.2: Methodology to support PROMISE specific KM processes Action RC-4.3: Requirements of decision making during BOL, MOL and EOLAction RC-4.4: Development of decision making methods and algorithmsAction RC-4.5: Implementation of the PROMISE information management systemAction RC-4.6: Consolidation and integration of evaluation results from the application clusters
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@PROMISEClusters & 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 VehiclesAction AC-1.2: EOL information management for heavy load vehicle decommissioningAction AC-1.3: EOL information management for tracking and tracing of products for recycling
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@PROMISEClusters & Actions
Application Cluster AC-2: MOL (Middle-of-Life)
Action AC-2.1: MOL information management for predictive maintenance for trucksAction AC-2.2: MOL information management for heavy vehicle lifespan estimationAction AC-2.3: MOL information management for machine toolsAction 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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@PROMISEClusters & Actions
Application Cluster AC-3: BOL (Beginning-of-Life)
Action AC-3.1: BOL Demonstrator #1: DfX in the railway sectorAction AC-3.2: BOL Demonstrator #2: adaptive production in the automotive sector
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@PROMISEClusters & ActionsInnovation Clusters
Innovation Cluster IC-1: Integration and StandardisationAction IC-1.1: Integration and harmonisation of efforts with external projectsAction IC-1.2: Standardisation
Innovation Cluster IC-2: Business developmentAction IC-2.1: Consolidation of PROMISE results and solving of IPR issuesAction IC-2.2: New innovative business opportunities identification and modellingAction IC-2.3: Exploration of potential market for new business opportunitiesAction IC-2.4: Evaluation of the considered business opportunities
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@PROMISEClusters & Actions
Training Cluster
Training Cluster TC-1: Training
Action TC-1.1: Develop training conceptAction TC-1.2: Develop training delivery mechanismsAction TC-1.3: Develop a web facility for training and external relations
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@PROMISEIntegrating clusters
I1
TechnicalAnnex
C1 Management & Control(Internal, EC, Audits)
O2Deliverablesfor Exploitation
M2 Partners
Research clusters
Define SpecsPerform RTD
A1
P. 3Appli clusters
Realise Demos Perform Eval
A2
P. 8Inno Clusters
Exploit Results
A3
Training Cluster
Develop Training ConceptDeveop Training Material
Disseminate ResultsA4
O1Standards
O3
Deliverablesfor Dissemination
RTDDeliverables
AppliDeliverables
Appliscenarios
RC Milestones
ACMilestones
IC Milestones
TC Milestones
Evaluation Feedback &Recom.
M1ExternalProjects
MarketFEEDBACK
DemoDefinition
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Concepts
Formalisation
Implementation
Adoption
TC-1
IC-2
IC-1
AC-1to
AC-3
RC-3
RC-2
RC-4
RC-1
Legend
PROMISE Roadmap to ResultsMain Deliverables
More general result
Possible synergy with ATHENA and IMS PROMISE partnersActivities
Month 42Month 36Month 24Month 12Month 0
Application scenarios
PROMISE DemonstratorsDesign & Roadmap
System specificationsand modeling
PEID prototypes
Requirements analysis
PROMISE InformationManagement
Fully FunctionalController
PROMISE DemonstratorsImplementation
PROMISE Information ManagementImplementation
intra-enterprise softwareinfrastructure
PEID prototypesImplementation
Concepts for KnowledgeTransformation
Market Investigations Business Opportunities& Roadmap
Training concepts
PROMISE Information Management Validation
inter-enterprise softwareinfrastructure
PEID Validation
Standardization domains& Roadmap
Standardization Initiatives& Activities
Consolidated modeling
PROMISE DemonstratorsEvaluation
TIPs & Business Plans
Training DeliveryMechanisms
Software Infrastructurevalidation
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@PROMISEContact DetailsAsbjørn Rolstadås (Project Coordination)Phone: +47 73 59 37 85 Fax: +47 73 59 7117E-mail: [email protected]
Bjørn Moseng (Project Administration)Phone: +47 73 59 37 97 Fax: +47 73 55 1326E-mail: [email protected]
SINTEF Technology and SocietyS. P. Andersens veg 5N - 7465 Trondheim, NorwayPhone: +47 73 59 03 00Fax: +47 73 59 03 30
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Thank you !