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Transcript of 1 Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology...
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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
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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
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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
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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
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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
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Knowledge Pools
• Business analogy
Dipping into different knowledge bases
Mutative growth possible
• Fundamental process 'keys' in nature
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Knowledge Pools
• Business analogy
Dipping into different knowledge bases
Mutative growth possible
• Fundamental process 'keys' in nature
Mutation
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Knowledge Pools
• Business analogy
Dipping into different knowledge bases
Mutative growth possible
• Fundamental process 'keys' in nature
Mutation
Replication (cloning)
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Knowledge Pools
• Equivalent 'keys' in business
Design innovation
General Atomics Predator B unmanned aircraft
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Knowledge Pools
• Equivalent 'keys' in business
Design innovation
Smart fabrication
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Role of Team Leaders
• Manage problem constraints
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Role of Team Leaders
• Manage problem constraints
• Coach and counsel team members
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Role of Team Leaders
• Manage problem constraints
• Coach and counsel team members
• Resolve conflicts
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Role of Team Leaders
• Manage problem constraints
• Coach and counsel team members
• Resolve conflicts
• Attributes:
Forceful
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Role of Team Leaders
• Manage problem constraints
• Coach and counsel team members
• Resolve conflicts
• Attributes:
Forceful
Goal orientated
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Role of Team Leaders
In short, a caring Genghis Khan…..SAVE the WHALE
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Application to Design
• MDT's drawn from several potential disciplines
Different interests
Different skills
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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'
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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/
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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
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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
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Application to Design
• Visualise the web of linkages between:
Modules
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Application to Design
• Visualise the web of linkages between:
Modules
Skills
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Application to Design
• Visualise the web of linkages between:
Modules
Skills
Disciplines
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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
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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
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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
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What Might MDT's Achieve in the Future ?
• Impact of network technologies
Information access
Real communication
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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
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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
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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