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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


@PROMISE:Closing the information loops

MOLProcess

Resource

Product

DESIGNProcess

Resource

Product

PRODUCTIONProcess

Resource

Product

EOLProcess

Resource

Product

Materials

Disposal

RecyclingRe-mfg.

Service Re-use


@PROMISE enabling technologiestomorrow (2005 – 2010)

A possible & feasible approach:

Applications based on PLM systems enabled via PEID and wireless Internet

Internet

ReaderPEID PLM system


@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


@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


@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.


@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


@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?


@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?


@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


@PEID Research

High class PEID: tags with ID and other sensing functionalities

PEID system protocols for maximum robustness and performance

PEID longevity and reliability


@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


@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.


@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


@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


@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


@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


@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.


@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.


@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


@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


@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


@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


@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



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



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



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



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


@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



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


@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


@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 !

promise - inf.tu-dresden.de · this allow the optimisation of maintenance intervention with ......

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