raimo p. hämäläinen [email protected] systemsintelligence.hut.fi
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Systems Intelligence for Life Cycle Management - Shifting the Focus from Products to People. Raimo P. Hämäläinen [email protected] www.systemsintelligence.hut.fi. Disciplines for coping with complexity. Operation Research / Management Science / Systems Analysis - PowerPoint PPT PresentationTRANSCRIPT
S ystemsAnalysis LaboratoryHelsinki University of Technology 1
Systems Intelligence for Life Cycle Management
- Shifting the Focus from
Products to People
Raimo P. Hämäläinen
[email protected] www.systemsintelligence.hut.fi
S ystemsAnalysis LaboratoryHelsinki University of Technology 2
Disciplines for coping with complexity
Operation Research / Management Science / Systems Analysis
Develop generic tools and methods for structured problem solving and decision support.
The “Science of Better”
Goals: Improve problem solving by learning, understanding and communication
Based on a systems thinking perspective
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Multi-Criteria Decision Analysis (MCDA)
Transparency in decision making– Integrated management of
objective data and subjective values
– Incorporation of risks and uncertainty
Well developed theory
Textbooks e.g.Belton, Stewart 2002; French et al. 2009
Increasingly used in environmental management
Introduced into Life Cycle Assessment literature
in the late 1990’s ( Miettinen, Hämäläinen 1997)
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Steps in MCDA
• Problem structuring • Value focused thinking • Identification of objectives and alternatives• Interactive preference elicitation• Composition of overall preferences and rankings • Sensitivity analysis – what if
Result: Transparent recommendationTools and e-learning material available on the web:www.decisionarium.hut.fi
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Todays TopicSystems Thinking in LCM
New lens:
Systems Intelligence (SI)
LCM is a systems approach
Shifting the focus from products to people makes human thinking the driver for improvement
SI + LCM = Ecological Intelligence
Key perspective in Environmental Leadership
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Systems Intelligence(Hämäläinen and Saarinen, 2004)
• Intelligent behaviour in the context of complex systems involving interaction,dynamics and feedback
• Combines human sensitivities with engineering thinking
• Pursuing the idea of making things work
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Systems Intelligence
A person with Systems Intelligence understands that she is always part of a system in her environment
• She perceives herself as part of the whole
- her own influence upon the whole
- the influence of the whole upon herself
- she realizes that others in the system can have different views of the whole
- she is able to act intelligently in the system
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The SI perspective
• Helps to identify productive forms of action • It is a competence that can be improved
by learning• Systems Intelligence is a basic form of
human intelligence
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Multiple Intelligences (Howard Gardner 1983)
• Linguistic • Musical • Logical-Mathematical• Spatial• Bodily-Kinesthetic • The Personal Intelligences – intra / inter• Plus higher-level cognitive capacities e.g.
common sense and wisdom
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SI and Multiple Intelligences
• Systems Intelligence is another higher level cognitive capacity
• SI links intelligence with the concept of system and systemic thinking
• SI embedds Social and Emotional intelligence (Goleman 1995, 2006)
• Systems Intelligence is a survival asset we have as a species
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SI relates to
• Systems Thinking
(Churchman 1968, Senge 1990,Checkland 1999,Jackson 2003) • Organizational theories and Action research
(Argylis, Schön , Schein ,Bohm 1980, Isaacs 1999) • Philosophy, Socratic tradition for thinking for good life • Positive psychology
(Bateson 2000, Goffman 1974, Seligman 2002)
• Theories of decision making and problem solving (Simon 1956, Keeney 1992, Kahneman, Tversky 2000)
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Organizational learning
The Fifth Discipline
(Peter Senge 1990):• Personal Mastery• Mental Models• Shared Vision• Team Learning• Systems Thinking
Systems Intelligence is the link between
Personal Mastery and Systems Thinking.
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Systems Thinking
• Emphasizes the importance of wholes and perspectives
• Models systems of interaction from outside• Can become a trap when one only sees the
system from outside and does not recognize herself being an active player in the system
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Characteristics of systems
• Whole is more than the sum of its parts • “Whole” and “Part” are relative abstractions • Always subject to redefinition by changing the
perspective
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How we see systems determines the model
• Beliefs about needs and goals• Framing: costs or benefits• Boundaries: fixed or flexible• Alternatives: fixed or flexible• Values: fixed or evolving and constructed in
the context.
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Systems can take over
• People can get caught in systems that serve nobody’s interests
• People can feel helpless regarding their possibilities of changing the system
• People react to the system without seeing their effect on the whole
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Systems Intelligence
• Becomes a challenge for personal learning• Trusts that people can influence complex
systems• The theoretical understanding of Systems
Thinking need not increase Systems Intelligence
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1. What does the system generate – and to what extent is this what we want?
2. How does the system mold us as human beings?
3. What kind of in-between does the system endorse?
Ask first the System Questions
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Change is not easy
• Mental change• Perceptual change • Individual behavioural change• Change in the system
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Thinking about thinking
• Key to learning Systems Intelligence• One’s actions are a function of one’s thinking
(mental models, beliefs, assumptions, interpretations, etc.)
• Challenge my mental models by meta-level thinking regarding my own thinking
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Invisible system
• We often perceive systems only through a mechanistic perspective
• We see materials, products and costs
When people are considered:– the true system often includes hidden
subsystems – such as processes of trust or fear generation
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Seeing oneself in the system
• With the eyes of the others• The impact of my behaviour upon the
behaviours of others• The impact of the current system on all of
us
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Managing the invisible
• To understand the system, it can be more important to know what is not produced than what the standard output is
• SI tries to understand both the visible and the invisible part
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Perceptual and behavioural change
• Seeing both the organizational/physical and the human parts
• SI looks for productive inputs to impact both parts
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Change in the system
• People adjust to systems instinctively. • If a system is changed, people also change
their behaviours. This leads to further change• A small change in my behaviour might trigger
a chain of changes in the behaviours of others
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In experimental games :People choose co-operative strategies with Systems Intelligence. They do not take everything for themselves.
Evolution gave us SI
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1. Seeing oneself in the System – Ability to see ones roles and behaviour in the system. Also through the eyes of other people and with different framings of the system. Systems thinking awareness.
2. Thinking about Systems Intelligence – Ability to envision and identify productive ways of behaviour for oneself in the system and understanding systemic possibilities.
3. Managing Systems Intelligence – Ability to personally work with systems intelligence.
4. Sustaining Systems Intelligence – Ability to continue and foster systems intelligence in the long run .
5. Leadership with Systems Intelligence – Ability to initiate and create systems intelligence culture in one’s organization.
5 step ladder of SI
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So What?
Is there a role for
Systems Intelligence in LCM?
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LCA is Systems Thinking
• Describes a product system and assesses the inventories and impacts.
• LCA is not enough• The Systems Thinking trap lurks in LCA.• Life Cycle Management takes LCA into action
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Life Cycle Management(UNEP/SETAC LMC Definition Study 2003)
Integration of
life cycle perspective and economic, social, environmental considerations
into overall
strategy, planning and decision making of
organization’s product portfolio
System oriented platform
Improvement and sustainability driver
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The system questions
• What does a product system produce?
- satisfaction of needs – what else?
- environmental costs – is this what we want? • How does the product system mold us?• How does the product system influence
our in - between?
- does it endorse environmental responsibility
and sustainability culture
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Happiness as an indicator in LCA(Hofstetter, Madjau, Ozawa, 2006)
Does the system produce happiness ?
A weighted sum of happiness enhancers and rebound effects?• set achievable important non-materialistic goals (weight = 2.5)• become an outgoing personality (1.5)• focus beyond self (1)• ……….
But - happiness is systemic
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Systems can take over
• People can be caught in environmentally harmful systems that serve nobody’s interests
• People in the system can feel helpless regarding their possibilities of changing the system
• We live in consumption systems without seeing the cumulative overall effects
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Social Life Cycle Management
• Impact categories are expanded• Social evaluation of companies is not enough• Expanding the product / service system
boundary with a social perspective?–involve the stakeholders
–re-evaluate needs
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Stakeholder involvement with SI
• Invisible elements, emotions / trust are important in the process
• The way people are encountered can be more influential than the issue itself
• Dialogue not conflict resolution• Beliefs about the expected beliefs and goals
of others do matter
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Redefinition question:
What other possibilities
are there to meet
people’s needs?
Goal and Scope in LCA
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Consuming in Virtual Second Life
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Can we see the drivers of our needs
related to our consumption ?
Maslow’s Hierarchy of Needs
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Invisible systems
• What is not produced (happiness /sustainability) can be more important than the material output of the products system
• The process of achieving a social goal can matter more than the end product:
-buying a bread or home baking the bread
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• My priorities in the satisfaction of needs over my own life
• Rethinking values can lead to revision of needs = a change in the system
• Where can I make value based trade-offs?• Can I learn to manage consumption in a more
sustainable way• Change is not easy
Personal Life Cycle Management
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1. Seeing oneself in the Environmental System – Ability to see ones impacts on the environment. Environmental awareness.
2. Thinking about Environmental Systems Intelligence – Ability to envision changes in one’s consumption
3. Managing Environmental Systems Intelligence – Ability to personally change consumption patterns.
4. Sustaining Environmental Systems Intelligence – Ability to continue personal systems intelligent LCM in the long run .
5. Leadership with Environmental Systems Intelligence – Ability to initiate and create systems intelligent LCM culture in ones social network/ organinzation.
5 Levels of SI in personal LCM
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• Underlying philosophy in Life Cycle Thinking?• Awareness of SI makes people want to have
more of it • It is systems intelligent for companies and
people to use LCM• Formula for Ecological Intelligence:
EI = SI + LCM
Systems Intelligence in LCM
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Systems Intelligence Research GroupCo-directors:Professors Raimo P. Hämäläinen andEsa SaarinenDownloadable articles and books on SI:http://www.systemsintelligence.hut.fi/
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References
Belton Valerie and Stewart Theodor J. 2002. Multiple Criteria Analysis, An Integrated Approach. Massachusetts, Kluwer
Churchman C. West. 1968. The Systems Approach. New York, Delta
French Simon, Maule John and Papamichail Nadia. 2009. Decision Behaviour, Analysis and Support. Cambridge, University Press
Gardner Howard. 1983. Frames of Mind: The Theory of Multiple Intelligences, Tenth anniversary edition. New York, Basic Books
Griesshammer Rainer et al. 2006. Feasibility Study: Integration of Social Aspects into LCA, UNEP-SETAC
Goleman Daniel. 1995. Emotional Intelligence, New York, Bantam Books
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References
Goleman Daniel. 2006. Social Intelligence, London, Hutchinson
Goleman Daniel. 2009. Ecological Intelligence, Bantam
Hofstetter Patrick, Madjar Michael and Ozawa Toshisuke. 2006. Happiness and Sustainable Consumption, Int J LCA 11, Special Issue 1, Ecomed Publishers
Hämäläinen Raimo P. and Saarinen Esa (Eds.). 2004b. Systems Intelligence - Discovering a Hidden Competence in Human Action and Organizational Life, Helsinki University of Technology, Systems Analysis Laboratory Research Reports, A88, October 2004
Jackson Michael C. 2000. Systems Approaches to Management, New York, Kluwer
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References
Keeney Ralph L. 1992. Value-Focused Thinking: A Path to Creative Decisionmaking, Cambridge, Harvard University Press
Miettinen Pauli and Hämäläinen Raimo P. 1997. How to Benefit from Decision Analysis in Environmental Life Cycle Assessment (LCA), European Journal of Operational Research 102, Elsevier
Miettinen Pauli and Hämäläinen Raimo P. 1999. Indexes for Fixed and Feasible Environmental Target Setting: a Decision Analytical Perspective, International Journal of Environment and Pollution 12, Nos.2/3.
Saur Kondrad et al. 2003. LMC Definition Study, UNEP/SETAC Life Cycle Initiative
Senge Peter. 1990. The Fifth Discipline: The Art and Practice of the Learning Organization, New York, Doubleday Currency