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PROMISE

PROMISE. Product Lifecycle Management and Information Tracking using Smart Embedded Systems EU FP6 IP 507100 IMS 01008. Product System flows. Information flows, complete or incomplete. Processes are designed, resources used and products produced and treated in each phase. Material flows.

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PROMISE

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  1. PROMISE Product Lifecycle Managementand Information Trackingusing Smart Embedded SystemsEU FP6 IP 507100IMS 01008

  2. Product Systemflows Information flows, completeor incomplete Processes are designed,resources used and productsproduced and treated in each phase Material flows The 4 phases of a product systemlife cycle Design Production Use & Service End-of-Use DFS DFMA DFE Process Process Process Process Resources Resources Resources Resources Product Product Product Product Materials Service Re-use Re-mfg Recycling Disposal

  3. PROMISE:Closing the information loops DESIGN PRODUCTION MOL EOL Process Process Process Process Resource Resource Resource Resource Product Product Product Product Materials Service Re-use Re-mfg. Recycling Disposal

  4. PROMISE enabling technologiestomorrow (2005 – 2010) • A possible & feasible approach: • Applications based on PLM systems enabled via PEID and wireless Internet PEID PLM system Reader Internet

  5. 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 A certified agent for service or End-Of-Life operations Update information in the embedded device and in the producer’s PDKM Service & maintenance End-Of-Life

  6. The PROMISE approach • - PLM agent • Knowledge agent • DFX agent - Data - Sensors - Tags - Memory - Data Producer’s PDKM - PLM system - KB repositories Embedded device Producer’s PDKM Producer’s PDKM - Info - Advice - Info - Info Internet (long distance) - Data Wireless comm. (short distance) - Info request - Semantics - Ubiquitous computing - Diagnosis - Decision making e-transformation of information to knowledge

  7. 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. PROMISEVision

  8. 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

  9. 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?

  10. 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?

  11. 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

  12. PEID Research • High class PEID: tags with ID and other sensing functionalities • PEID system protocols for maximum robustness and performance • PEID longevity and reliability

  13. PEID Related Software Research • 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

  14. 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.

  15. 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

  16. 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

  17. Truck predictive maintenance demonstratorat CR Fiat REMOTE DIAGNOSTIC LINK MAINTENANCE MISSION PROFILE ID. Information and clustering of data MAINTENANCE ON DEMAND GPS GSM/GPRS PEID Signals MISSION ANALYSIS COMUNICATION WITH CAN (PEID Engine,PEID Transmission, …) REMOTE DIAGNOSTIC LINK (WIRELESS) Engine usage profile GROUND STATION Consumption analysis IDENTIFICATION OF INCOMING ANOMALIES IDENTIFICATION OF MISSION PROFILES AND CORRELATION WEAR / DRIVING STYLE

  18. IMS-PROMISEwhy 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

  19. PROMISE IMS structure

  20. IMS PROMISEregions & 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 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. 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.

  21. IMS PROMISEregional collaboration Requirements and Specifications AUS CH EU USA Information Modeling, Architecture, Implementation MOL EOL DFX Logistics/ Decision making PEID technology Prototypes and Demonstrators Japan Modeling and Simulation

  22. PROMISEWorkplan architecture

  23. PROMISEClusters & 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

  24. PROMISEClusters & 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

  25. PROMISEClusters & 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

  26. 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 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

  27. 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 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

  28. PROMISEClusters & 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

  29. PROMISEClusters & 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

  30. PROMISEClusters & 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

  31. PROMISEClusters & 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

  32. PROMISEIntegrating clusters

  33. Training concepts Training DeliveryMechanisms TIPs & Business Plans Business Opportunities& Roadmap Market Investigations Standardization domains& Roadmap Standardization Initiatives& Activities PROMISE DemonstratorsDesign & Roadmap PROMISE DemonstratorsImplementation PROMISE DemonstratorsEvaluation PROMISE Information Management Validation PROMISE Information ManagementImplementation Concepts for KnowledgeTransformation intra-enterprise softwareinfrastructure PEID prototypesImplementation PEID prototypes PEID Validation Application scenarios System specificationsand modeling Consolidated modeling Requirements analysis Legend Concepts PROMISE Roadmap to Results More general result Formalisation Main Deliverables Implementation Adoption Possible synergy with ATHENA and IMS PROMISE partners Activities TC-1 IC-2 IC-1 AC-1toAC-3 RC-4 PROMISE InformationManagement RC-3 inter-enterprise softwareinfrastructure Fully FunctionalController Software Infrastructurevalidation RC-2 RC-1 Month 42 Month 0 Month 12 Month 24 Month 36

  34. PROMISEContact Details Asbjørn Rolstadås (Project Coordination) Phone:  +47 73 59 37 85   Fax:  +47 73 59 7117 E-mail:  Asbjorn.Rolstadas@ntnu.no Bjørn Moseng  (Project Administration) Phone:  +47 73 59 37 97   Fax:  +47 73 55 1326 E-mail:  Bjorn.Moseng@sintef.no 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

  35. Thank you !

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