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Lifecycle Knowledge (and information) Management Thursday, 16 June 2011 Dr.ir. Wilfred van der Vegte (1 st part) Dr. ir. Regine Vroom (2 nd part)

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Presentation on theme: "Lifecycle Knowledge (and information) Management Thursday, 16 June 2011 Dr.ir. Wilfred van der Vegte (1 st part) Dr. ir. Regine Vroom (2 nd part)"— Presentation transcript:

1 Lifecycle Knowledge (and information) Management Thursday, 16 June 2011 Dr.ir. Wilfred van der Vegte (1 st part) Dr. ir. Regine Vroom (2 nd part)

2 formal knowledge implicit or tacit knowledge informal knowledge explicit informal knowledge programmed instruction for a machine textual description in a book a persons skills in accomplishing a task examples processable reproducible, recordable not directly recordable, let alone processable explicit knowledge characteristics Recap from ADS: types of knowledge BUT: Formal knowledge and explicit knowledge arent synonyms; Implicit knowledge and informal knowledge arent synonyms. There is knowledge that is explicit but not formal ?? Q: Can you explain why formal knowledge is not contrary to informal knowledge, but rather a vague overlap between them exists. How can you clearly explain the difference?

3 formal knowledge implicit or tacit knowledge explicit informal knowledge store make explicit use by machinesuse by people macro-level KM micro-level KM formalize convert Recap from ADS: general knowledge flows & types of KM

4 Macro-level issues Macro-KM is typically dealt with by the company management and management-supporting staff (HRM) Two issues: Management of KM tasks allocated to humans: managing knowledge by managing people Allocation of tasks between humans and ICT systems

5 Management of KM tasks allocated to humans: stimulate knowledge flows workforce_management pdf Generation of new knowledge: incentives for innovation & creativity, recruit creative people,... Capturing existing knowledge: courses, lectures, company library,... Knowledge storage: if it has to be in peoples minds, strive for redundancy; nourish human capital,... Knowledge distribution: colloquia, job rotation,... Knowledge use: right people for the right job,... Make profit from company knowledge: patents,... Q: The importance of the IKM is made clear in the text, but how should we imagine this topic in real companies? Do big companies have an IKM-department like e.g. Human Resources? Are there people working on the implementation of IKM-systems as a full time job or is it part of the company culture which means no special people are in charge of IKM

6 Allocation of tasks between humans and IT systems Both humans and machines have their specific strong points and weak points MABA-MABA If the computer is best for a given task according to MABA- MABA, it does not mean that computer support (e.g. software that performs the task) is actually available Important motivation to put knowledge into computers is the risk of being too dependent of the availability of people. Example: design history Downside of computer systems: hardware & software can become obsolete

7 PLM – Product Lifecycle Management What is it? According to cimdata.com A strategic business approach that applies a consistent set of business solutions that support the collaborative creation, management, dissemination, and use of product definition information Supporting the extended enterprise (customers, design and supply partners, etc.) Spanning from concept to end of life of a product or plant Integrating people, processes, business systems, and information

8 formal explicit computer storage: PDM system designermanufacturing & assembly store knowledge flow How it started: PDM – Product Data Management paper or informal explicit computer storage

9 part manufacturing product assembly packaging distribution retail use service repair end-of-life designerother stakeholders knowledge flow Life-cycle knowledge flows

10 formal explicit computer storage PLM system part manufacturing product assembly packaging distribution retail use service repair end-of-life designerother stakeholders store collection & preparation by stakeholder expert ICT collection & preparation by designer expert ICT store knowledge flow Life-cycle knowledge flows paper or informal explicit computer storage

11 Life-cycle knowledge flows collection of knowledge none by expert (knowledge author) *KBS: knowledge-based system by ICT (automated) preparation of knowledge for processing formal (database or KBS*) formal (typically data mining) none by stakeholder /designer by expert (knowledge author) by ICT (automated) explicit informal (paper, video, audio recording) type of stored knowledge PLM

12 =PDM Most advanced conventional PLM systems none *KBS: knowledge-based system by ICT (automated) formal (typically data mining) none by ICT (automated) explicit informal (paper, video, audio recording) by expert (knowledge author) formal (database or KBS*) by stakeholder /designer by expert (knowledge author) PLM collection of knowledge preparation of knowledge for processing type of stored knowledge aerospace shipbuilding civil engineering (life cycle of a bridge) construction large-scale printers (Océ!)... i.e., industries with limited # of stakeholders, small production volumes, not consumer products Requires tightly controlled processes throughout the lifecycle. Where is that possible? For most consumer products, this type of Q (part): What kind of products is PLM currently used for?

13 formal explicit computer storage PLM system part manufacturing product assembly packaging distribution retail use service repair end-of-life designerother stakeholders store collection & preparation by stakeholder expert ICT collection & preparation by designer expert ICT store knowledge flow Life-cycle knowledge flows paper or informal explicit computer storage

14 Examples of lifecycle knowledge flows Designer to part manufacturing, no storage: Designer explains details of technical drawing to the mould maker over the telephone Designer to part manufacturing, storage on paper prepared by designer (explicit informal): Technical drawing Designer to part manufacturing, storage in computer by designer prepared by ICT (formalized): CAD model for NC milling Designer to user, storage on paper prepared by experts (explicit informal): User manual Designer to recycler, collection & preparation by designer/manufacturer, storage on product (text/graphics) (explicit informal) Material codes on products

15 Examples of lifecycle knowledge flows Designer to user or repairperson, storage in computer by experts (formalized): Knowledge-based car diagnostics system (http://www.metacog.com/example2.htm)

16 Examples of lifecycle knowledge flows Part manufacturing to designer, no storage: Mould maker calls designer to report a tight tolerance on the drawing that cannot be realized Part manufacturing to designer, collection & preparation by experts, storage on paper (explicit informal): Handbook with dimensioning guidelines for various manufacturing processes Part manufacturing to designer, collection & preparation by experts, storage on computer (formalized): DFM software (dfmpro.geometricglobal.com)

17 Examples of lifecycle knowledge flows User to designer, collection & preparation by user, storage on computer (explicit informal): User posts a product review to a website Designer to designer, collection & preparation by designer, storage on computer (explicit informal): Design rationale capture software (process-based approach) Designer to designer, collection & preparation by expert, storage on computer (formalized): Design rationale capture software (feature-based approach) Designer: Pipes A and B must be connected at an angle System: You need a knee pipe to connect them. Specify angle. Designer: angle = 45º System connects pipes in CAD system with 45º knee pipe and records as rationale: A and B had to be connected at a 45º angle

18 Examples of lifecycle knowledge flows Any stakeholder to designer, collection by ICT, preparation by experts, storage in computer (formalized) closed-loop product lifecycle management based on product- embedded information devices (Kiritsis, 2009)

19 The holy grail of lifecycle knowledge management? Any stakeholder to designer, collection by ICT, preparation by experts, storage in computer (formalized) closed-loop product lifecycle management based on product- embedded information devices (Kiritsis, 2009) We can go further... Any stakeholder to designer, collection and preparation by ICT, storage in computer (formalized) closed-loop product lifecycle management based on product- embedded information devices and data mining of collected information Any stakeholder (including designer) to any stakeholder, col- lection & preparation by ICT, storage in computer (formalized) Q (part): What will be the future role of IKM in (sustainable) design engineering in relation to ubiquitous computing? Application opportunity for consumer products: controlled flow of supplies (coffee pads, printer cartridges, batteries, etc.)

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21 Other questions When does PLM become profitable (market / product batch size)? Are there cheap solutions for small market sizes?

22 Other questions The (...) KBE tools seem to be very engineering/technical based, and give direction to decisions in for example material, dimensions etc. However, in product design, the user aspects are important as well, not only the technical features. Are there also knowledge based tools available which deal with features like colour, user experience, use cues etc. Reading material: last part of 8.1 Aesthetics-related search engines based on data mining: –Princeton 3D shape search based on data mining: ( invisible link) –Similarity-based search engines for images: ( invisble link) –Font recognition search engine: ( invisible link)

23 Other questions Would IKM tools enable product designers to regard sustainable solutions more easily, or that a data base can be used to offer the best sustainable options? Most computer programs supporting design for sustainability and LCA are actually knowledge-based systems

24 Other questions The paper on KMS presents a very good overview on information and knowledge management in product design, also from an industrial design perspective. Would it be possible to also show / discuss more such interesting tools during the lecture which can be useful to the students?

25 Other questions What phases of the product life cycle are the hardest to collect information from? Especially the use phase, in particular the details (interaction, manipulation, user decisions,...)

26 Other questions How do you decide as a company whether or not to publish (share?) your research (and development?) data? A lot can be gained from open-source information sharing, but the company also loses its IP. Depends on lots of things: Other closely linked IP that you can protect? Can you generate income from additional sources (e.g., advertisements)? Can you share it in an incomplete way, for instance only the end results without sharing the details on which these were based, or only the details?....

27 formal explicit computer storage part manufacturing product assembly packaging distribution retail use service repair end-of-life designerother stakeholders store collection & preparation by stakeholder expert ICT collection & preparation by designer expert ICT store knowledge flow e.g., drafter (technical drawings) e.g., writer of user manual e.g., CAD/PDM/PLM system e.g., user writing a review e.g., programmer of DFX system e.g., closed-loop PLM with RFID Life-cycle knowledge flows (Kiritsis paper) paper or informal explicit computer storage


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