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Multidisciplinary Teams and Knowledge Models. Professor M Neil James Faculty of Technology University of Plymouth. Multidisciplinary Teams. MDT's harness powerful knowledge benefits from members Advances in technology in different areas New ideas

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multidisciplinary teams and knowledge models

Multidisciplinary Teams and Knowledge Models

Professor M Neil James

Faculty of Technology

University of Plymouth

multidisciplinary teams

Multidisciplinary Teams

  • MDT's harness powerful knowledge benefits from members
    • Advances in technology in different areas
    • New ideas
    • Cross-fertilisation of concepts from other disciplines
  • What knowledge do other people possess that the MDT is unaware of ?
    • Information retrieval/mining
knowledge pools

Knowledge Pools

  • Standard business model – Bonsai tree
    • Fruit – saleable products
    • Trunk – core skills
    • Roots generic knowledge
  • Small and perfect
  • Not easily capable of growth
  • Expansion into new areas difficult
knowledge pools4

Knowledge Pools

  • Need to 'dip' into other knowledge pools
    • Innovative synergies
    • Ready-made problem solutions
    • New openings for growth and product range
  • Leads to the 'sequoia' model of business growth
knowledge pools5

Knowledge Pools

  • Sequoia can be 80-100 m high
  • Root system contained in top 1.5 m of soil
  • Spreads out over 4 square acres
  • Clone by suckers
  • Young trees use ancient root system of adults
knowledge pools6

Knowledge Pools

  • Young trees use ancient root system of adults
    • Share water resources
      • 'Dip' into each others pools
    • Share root linkage
    • Fast growth once water supply stabilised
    • New roots for mutual support
knowledge pools7

Knowledge Pools

  • Business analogy
    • Dipping into different knowledge bases
    • Mutative growth possible
  • Fundamental process 'keys' in nature
knowledge pools8

Knowledge Pools

  • Business analogy
    • Dipping into different knowledge bases
    • Mutative growth possible
  • Fundamental process 'keys' in nature
    • Mutation
knowledge pools9

Knowledge Pools

  • Business analogy
    • Dipping into different knowledge bases
    • Mutative growth possible
  • Fundamental process 'keys' in nature
    • Mutation
    • Replication (cloning)
knowledge pools10

Knowledge Pools

  • Equivalent 'keys' in business
    • Design innovation

General Atomics Predator B unmanned aircraft

knowledge pools11

Knowledge Pools

  • Equivalent 'keys' in business
    • Design innovation
    • Smart fabrication
role of team leaders

Role of Team Leaders

  • Manage problem constraints
role of team leaders13

Role of Team Leaders

  • Manage problem constraints
  • Coach and counsel team members
role of team leaders14

Role of Team Leaders

  • Manage problem constraints
  • Coach and counsel team members
  • Resolve conflicts
role of team leaders15

Role of Team Leaders

  • Manage problem constraints
  • Coach and counsel team members
  • Resolve conflicts
  • Attributes:
    • Forceful
role of team leaders16

Role of Team Leaders

  • Manage problem constraints
  • Coach and counsel team members
  • Resolve conflicts
  • Attributes:
    • Forceful
    • Goal orientated
role of team leaders17

Role of Team Leaders

SAVE the WHALE

In short, a caring Genghis Khan…..

application to design

Application to Design

  • MDT's drawn from several potential disciplines
    • Different interests
    • Different skills
application to design19

Application to Design

  • MDT's drawn from several potential disciplines
    • Different interests
    • Different skills
  • Gain experience in information retrieval from different 'pools'
application to design20

Application to Design

  • MDT's drawn from several potential disciplines
    • Different interests
    • Different skills
  • Gain experience in information retrieval from different 'pools'
  • Harness the internet as a data mining source
  • Image from Journal of Data Mining and Knowledge Discovery, Kluwer Academic Publishers
  • http://www.digimine.com/usama/datamine/
application to design21

Application to Design

  • MDT's drawn from several potential disciplines
    • Different interests
    • Different skills
  • Gain experience in information retrieval from different 'pools'
  • Harness the internet as a data mining source
  • Develop conceptual thought processes
application to design22

Application to Design

  • MDT's drawn from several potential disciplines
    • Different interests
    • Different skills
  • Gain experience in information retrieval from different 'pools'
  • Harness the internet as a data mining source
  • Develop conceptual thought processes
  • Develop skills in identifying critical areas in problems
application to design23

Application to Design

  • Visualise the web of linkages between:
    • Modules
application to design24

Application to Design

  • Visualise the web of linkages between:
    • Modules
    • Skills
application to design25

Application to Design

  • Visualise the web of linkages between:
    • Modules
    • Skills
    • Disciplines
application to design26

Application to Design

  • Visualise the web of linkages between:
    • Modules
    • Skills
    • Disciplines
  • Individual disciplines are all part of the overall field of engineering
    • Interlinked
    • Interdependent
what might mdt s achieve in the future

What Might MDT's Achieve in the Future ?

  • Reduced product development times
    • Classic example is Liberty ship design
      • Riveted construction ~ 242 days
      • Welded construction < 7 days
what might mdt s achieve in the future28

What Might MDT's Achieve in the Future ?

  • Reduced product development times
    • Classic example is Liberty ship design
      • Riveted construction ~ 242 days
      • Welded construction < 7 days
  • Increased risk avoidance
    • Greater reliability
    • More holistic understanding of linkages/problems
what might mdt s achieve in the future29

What Might MDT's Achieve in the Future ?

  • Impact of network technologies
    • Information access
    • Real communication
what might mdt s achieve in the future30

What Might MDT's Achieve in the Future ?

  • Impact of network technologies
    • Information access
    • Real communication
  • Effective knowledge capture
    • Higher recycling potential
    • Lean and efficient materials usage
what might mdt s achieve in the future31

What Might MDT's Achieve in the Future ?

  • Impact of network technologies
    • Information access
    • Real communication
  • Effective knowledge capture
    • Higher recycling potential
    • Lean and efficient materials usage
  • 'Virtual' design and manufacturing environments
    • Game technology
    • Process modelling
what might mdt s achieve in the future32

What Might MDT's Achieve in the Future ?

  • Potential limitations
    • Shortage of multi-skilled MDT team leaders
    • Loss of social dimension
      • Cyber-nerds

There is hope however…….

http://romance.live.com.au/articles/index.jsp

http://romance.live.com.au/articles/snaggies.jsp