1. PLM, Lifecycle and Knowledge Management
PROMISE
IMS
WISPR ?
Bjørn Moseng SINTEF

2. PROMISE
Product Lifecycle Management and Information Tracking using Smart Embedded Systems EU FP6 IP

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

4. Communicate with your product ?
Design
Manufacturing
BOL
Where and when is my car produced?
What are the specifications of the engine?
Which parts can be repaired or substituted?
How to improve the car by adding new functions?
etc
BOL
BOL
BBB
BOL
Use
Maintenance
MOL
What has happened with my car before I bought it?
Which parts have been repaired and when?
When do I have to change/repair my brakes?
How to reduce service/maintenance cost of my car?
etc
nnnnn
hhhhhhhhhhh
Reuse
Recycling
EOL
What is the residual value of my car?
Is this component worth remanufacturing?
How to handle different parts when recycling.
Which components contain hazardous materials?
etc
sssssssssaa

5. Closed loop PLM - concept
Sensors
Tags
Memory
Data
Product
PEID
Knowledge agent
DFX agent
Manufacturer’s
Product data DB
Data
Info
Advice
Info request
PLM Server
PLM agent
(reader with antenna)
Diagnosis
Decision making

6. PROMISE delivers a new generation of PLM system that
uses smart embedded IT systems
allows the seamless flow and transformation of data and information to knowledge
which 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

7. What is the PROMISE? Innovation Closing information gap
Improving environment

8. What is the PROMISE? Innovation Technologies Closing information gap
Improving environment
Technologies
PEID - Product Embedded Information Device
DSS - Decision support systems
PDKM - Product Data Knowledge Management
Middleware
Applications
PEID
RFID
Middleware
Embedded
Systems
Read /
Write
Decommissioning
Business
Processes
Products
Design
Production
Design for X
Preventive
Predictive
Maintenance
Tracking
&
Tracing …
Adaptive
Effective
Recycling
Semantic
enrichment
Dispatching
Notifications
Management
Product Data and
Knowledge Management
Decision
Support

9. What is the PROMISE? Innovation Technologies Demonstrators
Closing information gap
Improving environment
Technologies
PEID - Product Embedded Information Device
DSS - Decision support systems
PDKM - Product Data Knowledge Management
Middleware
Demonstrators
Ten application areas

10. What is the PROMISE? Innovation Technologies Demonstrators
Closing information gap
Improving environment
Technologies
PEID - Product Embedded Information Device
DSS - Decision support systems
PDKM - Product Data Knowledge Management
Middleware
Demonstrators
Ten application areas
Business opportunities
Business plans
Standards

11. Architecture and Standards
PROMISE Architecture
User requirements drawn from 10 different industrial applications
Applications cover the complete product lifecycle and across different industrial sectors
Specifications defined for each interface and component of the architecture
PROMISE Standards
Standard for product data representation
Standard for product data exchange

12. PROMISE applications

13. Predictive maintenance of machine tools MOL

14. Application areas 14

15. PROMISE figures Duration 42 months 2004-08
Total cost of EU project is 14,6 mill €
EU part sponsored by EU Commission (8 mill €)
Europe - IMS co-operation research project
Europe - Australia - Japan - USA - Korea

16. PROMISE partners (Europe)
For more details
What we are doing is
- Development of Decision Support Systems
- Development of EOL demonstrators
- Standardisation activities
- Training
Linking to Boeing / AirBus industrial activities.
- ID/Application matching
- Sensor Integration
1) the locomotive - Bombardier is one of the partners, who will be developing a demostrator for MOL (Middle-of-Life) management (preventive/predictive maintenance, diagnosis, etc.)
2) the car engine - this is the Fiat demonstrator, which is looking at EOL decisions
3) cateripillar - similar to the Fiat demonstrator, looks at EOL decisions, by including critical lifecycle parameters such as engine temperature, part replacement data, etc in the decision-making process.
CRF (Fiat) project, where we are involved in the development of the demonstrator by:
 - setting up a test rig for tagging engine components (in our lab)
 - developing a decision support tool that uses lifecycle usage information (number of starts, temperature, etc.) of engine components to optimise product recovery decisions made at the end-of-life of the engine.

17. For more information