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Multidisciplinary Teams and Knowledge Models Professor M Neil James Faculty of Technology University of Plymouth 1 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 ? 2 Information retrieval/mining 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 3 Knowledge Pools • • 4 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 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 5 Knowledge Pools • Young trees use ancient root system of adults Share water resources 'Dip' into each others pools 6 Share root linkage Fast growth once water supply stabilised New roots for mutual support Knowledge Pools • • 7 Business analogy Dipping into different knowledge bases Mutative growth possible Fundamental process 'keys' in nature Knowledge Pools • • Business analogy Dipping into different knowledge bases Mutative growth possible Fundamental process 'keys' in nature 8 Mutation Knowledge Pools • • 9 Business analogy Dipping into different knowledge bases Mutative growth possible Fundamental process 'keys' in nature Mutation Replication (cloning) Knowledge Pools • Equivalent 'keys' in business Design innovation General Atomics Predator B unmanned aircraft 10 Knowledge Pools • 11 Equivalent 'keys' in business Design innovation Smart fabrication Role of Team Leaders • 12 Manage problem constraints Role of Team Leaders • Manage problem constraints • Coach and counsel team members 13 Role of Team Leaders • Manage problem constraints • Coach and counsel team members • Resolve conflicts 14 Role of Team Leaders • Manage problem constraints • Coach and counsel team members • Resolve conflicts • Attributes: 15 Forceful Role of Team Leaders • Manage problem constraints • Coach and counsel team members • Resolve conflicts • Attributes: 16 Forceful Goal orientated Role of Team Leaders In short, a caring Genghis Khan….. 17 SAVE the WHALE Application to Design • 18 MDT's drawn from several potential disciplines Different interests Different skills Application to Design • • 19 MDT's drawn from several potential disciplines Different interests Different skills Gain experience in information retrieval from different 'pools' 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/ 20 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 21 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 22 Application to Design • Visualise the web of linkages between: 23 Modules Application to Design • 24 Visualise the web of linkages between: Modules Skills Application to Design • 25 Visualise the web of linkages between: Modules Skills Disciplines Application to Design • • 26 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 ? • Reduced product development times Classic example is Liberty ship design Riveted construction ~ 242 days Welded construction < 7 days 27 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 • 28 Increased risk avoidance Greater reliability More holistic understanding of linkages/problems What Might MDT's Achieve in the Future ? • 29 Impact of network technologies Information access Real communication What Might MDT's Achieve in the Future ? • • 30 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 Future ? • • • 31 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 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 32