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1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Page 1: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Multidisciplinary Teams and Knowledge Models

Professor M Neil James

Faculty of Technology

University of Plymouth

Page 2: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 3: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 4: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 5: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 6: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 7: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Knowledge Pools

• Business analogy

Dipping into different knowledge bases

Mutative growth possible

• Fundamental process 'keys' in nature

Page 8: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Knowledge Pools

• Business analogy

Dipping into different knowledge bases

Mutative growth possible

• Fundamental process 'keys' in nature

Mutation

Page 9: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Knowledge Pools

• Business analogy

Dipping into different knowledge bases

Mutative growth possible

• Fundamental process 'keys' in nature

Mutation

Replication (cloning)

Page 10: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Knowledge Pools

• Equivalent 'keys' in business

Design innovation

General Atomics Predator B unmanned aircraft

Page 11: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Knowledge Pools

• Equivalent 'keys' in business

Design innovation

Smart fabrication

Page 12: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Role of Team Leaders

• Manage problem constraints

Page 13: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Role of Team Leaders

• Manage problem constraints

• Coach and counsel team members

Page 14: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Role of Team Leaders

• Manage problem constraints

• Coach and counsel team members

• Resolve conflicts

Page 15: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Role of Team Leaders

• Manage problem constraints

• Coach and counsel team members

• Resolve conflicts

• Attributes:

Forceful

Page 16: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Role of Team Leaders

• Manage problem constraints

• Coach and counsel team members

• Resolve conflicts

• Attributes:

Forceful

Goal orientated

Page 17: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Role of Team Leaders

In short, a caring Genghis Khan…..SAVE the WHALE

Page 18: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Application to Design

• MDT's drawn from several potential disciplines

Different interests

Different skills

Page 19: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Application to Design

• MDT's drawn from several potential disciplines

Different interests

Different skills

• Gain experience in information retrieval from different 'pools'

Page 20: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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/

Page 21: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 22: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 23: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Application to Design

• Visualise the web of linkages between:

Modules

Page 24: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Application to Design

• Visualise the web of linkages between:

Modules

Skills

Page 25: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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Application to Design

• Visualise the web of linkages between:

Modules

Skills

Disciplines

Page 26: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 27: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 28: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 29: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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What Might MDT's Achieve in the Future ?

• Impact of network technologies

Information access

Real communication

Page 30: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 31: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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

Page 32: 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth

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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