PROMISE Product Lifecycle Management and Information Tracking using

PROMISE Product Lifecycle Management and Information Tracking using Smart Embedded Systems EU FP 6 IP 507100 IMS 01008 © November 2004 1

Product System flows Design Processes are designed, Information flows, complete The 4 phases of a product system resources used and products Material flows or incomplete life cycle produced and treated in each phase Production DFS DFMA Use & Service End-of-Use DFE Process Resources Product Materials Service Process Re-use Re-mfg Recycling Disposal © November 2004 2

PROMISE: Closing the information loops DESIGN PRODUCTION MOL EOL Proces s Process Resourc e Produc t Product Materials Service Re-use Re-mfg. Recycling Disposal © November 2004 3

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 © November 2004 4

Ideas in a nutshell Initial product info is written in the product embedded device Product delivery 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 © November 2004 5

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 - Data Internet (long distance) Wireless comm. (short distance) - Info request - Semantics - Ubiquitous computing - Diagnosis - Decision making e-transformation of information to knowledge © November 2004 6

PROMISE Vision ü 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. ü 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. © November 2004 7

PROMISE Mission ü to allow information flow management to go beyond the customer ü to close the product lifecycle information loops ü to enable the seamless e-Transformation of Product Lifecycle Information to Knowledge © November 2004 8

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? © November 2004 9

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? © November 2004 10

Product information available anywhere at any time =Product-centric information management: ü Concentrating information around product instead of around companies ü Enabling information sharing, easier access and management of the data ü Product information updates performed in real-time ü Product life cycle management becomes easier © November 2004 11

PEID Research = High class PEID: tags with ID and other sensing functionalities = PEID system protocols for maximum robustness and performance = PEID longevity and reliability © November 2004 12

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 © November 2004 13

Standardisation as an integration element ü Standardisation is one of the key integration elements of the IMS PROMISE project G Standardisation issues will be the main part of the agenda of the planned IMS PROMISE workshops G Standardisation will be also an element of collaboration with the ATHENA IP on interoperability and other external projects. © November 2004 14

Standardisation issues G Pre-normative and standardisation issues will be addressed in PROMISE at four levels: F Hardware (PEID) – ISO 18000 F Firmware, D 2 D, D 2 B – IMS Centre F Software (interoperability, security) - ATHENA F System (product policies, environmental issues, lifecycle management) – ISO 14000 © November 2004 15

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 © November 2004 16

Truck predictive maintenance demonstrator at CR Fiat 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 © November 2004 17

IMS-PROMISE why an IMS proposal ? = Products are global F Used locally = Production is global F Production units are local = Service & maintenance is global F Performed by local agents • End-Of-Life is global F Performed by local agents Global sustainabilty of product systems © November 2004 19

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 © November 2004 20

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. © November 2004 22

IMS PROMISE 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 © November 2004 23

PROMISE Workplan architecture © November 2004 24

PROMISE Clusters & Actions Research Clusters: specifications, theoretical foundations and methodologies = Research Cluster RC-1: PROMISE system architecture and modelling q q 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 © November 2004 25

PROMISE Clusters & Actions Research Clusters: specifications, theoretical foundations and methodologies = Research Cluster RC-2: Product Embedded Information Devices q Action RC-2. 1: PEID Core q Action RC-2. 2: PEID Customisable application specific prototypes q Action RC-2. 3: PEID pre-industrialisation © November 2004 26

PROMISE Clusters & Actions = Research Cluster RC-3: IT Infrastructure, Models and Software q q q 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 © November 2004 27

PROMISE Clusters & Actions = Research Cluster RC-4: Methodologies for Information and Knowledge Treatment & Decision Making q Action RC-4. 1: Concept and methods for transformation of information to knowledge q Action RC-4. 2: Methodology to support PROMISE specific KM processes q Action RC-4. 3: Requirements of decision making during BOL, MOL and EOL q Action RC-4. 4: Development of decision making methods and algorithms q Action RC-4. 5: Implementation of the PROMISE information management system q Action RC-4. 6: Consolidation and integration of evaluation results from the application clusters © November 2004 28

PROMISE Clusters & Actions Application Clusters: development of application sectorial demonstrators = Application Cluster AC-1: EOL (End-of-Life) q Action AC-1. 1: EOL information management for monitoring of End of Life Vehicles q Action AC-1. 2: EOL information management for heavy load vehicle decommissioning q Action AC-1. 3: EOL information management for tracking and tracing of products for recycling © November 2004 29

PROMISE Clusters & Actions = Application Cluster AC-2: MOL (Middle-of-Life) q Action AC-2. 1: MOL information management for predictive maintenance for trucks q Action AC-2. 2: MOL information management for heavy vehicle lifespan estimation q Action AC-2. 3: MOL information management for machine tools q Action AC-2. 4: MOL information management for EEE-1 (“brown” goods) q Action AC-2. 5: MOL information management for EEE-2 (“white” goods) q Action AC-2. 6: MOL information management for Telecom equipment © November 2004 30

PROMISE Clusters & Actions = Application Cluster AC-3: BOL (Beginning-of-Life) q Action AC-3. 1: BOL Demonstrator #1: Df. X in the railway sector q Action AC-3. 2: BOL Demonstrator #2: adaptive production in the automotive sector © November 2004 31

PROMISE Clusters & Actions Innovation Clusters = Innovation Cluster IC-1: Integration and Standardisation q Action IC-1. 1: Integration and harmonisation of efforts with external projects q Action IC-1. 2: Standardisation = Innovation Cluster IC-2: Business development q Action IC-2. 1: Consolidation of PROMISE results and solving of IPR issues q Action IC-2. 2: New innovative business opportunities identification and modelling q Action IC-2. 3: Exploration of potential market for new business opportunities q Action IC-2. 4: Evaluation of the considered business opportunities © November 2004 32

PROMISE Clusters & Actions Training Cluster = Training Cluster TC-1: Training q Action TC-1. 1: Develop training concept q Action TC-1. 2: Develop training delivery mechanisms q Action TC-1. 3: Develop a web facility for training and external relations © November 2004 33

PROMISE Integrating clusters © November 2004 34

Legend PROMISE Roadmap to Results Formalisation Main Deliverables Implementation TC-1 Training concepts IC-2 Training Delivery Mechanisms Business Opportunities & Roadmap Market Investigations 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 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 © November 2004 35

PROMISE Contact 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 © November 2004 36

Thank you ! © November 2004 37