PLM, Lifecycle and Knowledge Management

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Presentation transcript:

PLM, Lifecycle and Knowledge Management PROMISE 2004-2008 IMS 2020 2009-10 WISPR 2011 ? Bjørn Moseng SINTEF

PROMISE Product Lifecycle Management and Information Tracking using Smart Embedded Systems EU FP6 IP 507100

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

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

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

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

What is the PROMISE? Innovation Closing information gap Improving environment

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

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

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

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

PROMISE applications

Predictive maintenance of machine tools MOL

Application areas 14

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

PROMISE partners (Europe) For more details http://www.promise.no/ 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.  

For more information www.promise.no/ www.promise-plm.com/