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IE673 Session 3 - System Thinking 2
Contents
• What is a system?
• System Stability
• Things in Common
• Change and Growth
• Putting the Pieces Together
• Complex Systems
IE673 Session 3 - System Thinking 3
What is a System?
• Use “system” in everyday sense
• A collection of parts which interact with each other to function as a whole
• A “heap” is not a system
• “Heaps” are not essentially change by adding or subtracting from the “heap”
• A system can be part of larger systems
– subsystems form a hierarchy
IE673 Session 3 - System Thinking 4
Hierarchical System
• Particle
• Atom
• Molecule
• Cell Nucleus
• Brain Cell
• Brain
• Nervous System
• Individual
• Local community
• State
• Nation
• World Civilization
• World Ecosystem
• Planet Earth
• Solar System
• Galaxy
• Universe
IE673 Session 3 - System Thinking 5
Systems and Stability
• If start at different point, still same results -- why?• A system of smaller units is more stable
– Protons & neutrons - smallest natural particles
– Large atoms unstable - uranium
IE673 Session 3 - System Thinking 6
Systems and Stability (continued)
• Holds true for maximum size of animals– Whales and dinosaurs
• A group of 5 versus 5000• A large group is a mob unless higher levels of
system organizations are created
IE673 Session 3 - System Thinking 7
Systems and Stability (continued)
• Even if gigantic low-level systems were possible, a series of higher level systems would be easier– Millions of possible molecules
– 92 atoms
– 3 particles - protons, neutrons, electrons
IE673 Session 3 - System Thinking 8
Systems and Stability (continued)
• System definition key word - interact• One part has effect on system - system has effect
on one part– Circular relationship or loop
• Example - bicycle and rider– A two part system
– Combined, can do things individual can not
– Constant small adjustment for “errors”
IE673 Session 3 - System Thinking 9
Systems and Stability
“Input” Brain Muscles Bicycle “Output”
Information
IE673 Session 3 - System Thinking 10
Systems and Stability
• Feedback loop– Provides Stability
– Cancels out slight changes
– “Negative” feedback loop
• Negative feed back loops– Occur by the thousands
– Are in our everyday life
IE673 Session 3 - System Thinking 11
Stability
• Negative feedback loops are everywhere– The thermostat
– Body temperature
– Float valves
– Thirst
– Inventories
– Group membership
– Predator and prey
IE673 Session 3 - System Thinking 12
Stability
• Systems can– “Aim” at a fixed “target”
– “Track” a moving “target”
• Tracking systems– Get feedback on how far it is from where it should be
– Uses the feedback to reduce the difference
IE673 Session 3 - System Thinking 13
Stability
• Tracking systems– Set-back thermostat
– Radar-controlled anti-aircraft guns
– Satellite docking systems
– Sun tracking solar collectors
– Driving a car
– Riding a bicycle
IE673 Session 3 - System Thinking 14
Stability
• Tracking systems– Human/Mechanical
• Person starts system going
• Guides with series of corrections
• System works so fast and so smoothly in some cases - hard to believe there is time for negative feedback to work
• Common in natural and social systems– Sunflower
– Politicians
– Companies
IE673 Session 3 - System Thinking 15
Things in Common
• Self-stabilizing systems make an active response to change– Bicycle
• An active response to change requires the use of energy– Wind generator
IE673 Session 3 - System Thinking 16
Active Systems
• Almost all living systems are active in sense that they continue to function and use energy even when dormant– Must stay active when at rest or die
IE673 Session 3 - System Thinking 17
Active Systems
• General rule– The more complex a system - the more energy spent on
maintenance
– Holds for social systems• Isolated peasant community vs a modern community
IE673 Session 3 - System Thinking 18
Things in Common
• System limitations– Amount and kind of change
• “Exposure”
• “Heat Stroke”
– Many negative feedback systems stable over wide range, but fail abruptly when pushed beyond its limits
IE673 Session 3 - System Thinking 19
Things in Common
• Loose systems– Negative feedback does not prevent change
– Negative feedback responds to change and keeps it under control
– The result is a characteristic wobble - “sloppy”
IE673 Session 3 - System Thinking 20
Things in Common
• Reaction times– Every negative feedback system has time limits
– Reaction time is most important
– The minimum amount of time necessary for one complete circuit
– If too slow, fast change can damage system
IE673 Session 3 - System Thinking 21
• Anticipation– Sometimes can’t afford the delay
– Systems cope - react to warnings
– Need ability to interpret warnings
– Inadequate reaction time due to responding to problems rather than warnings
Things in Common
IE673 Session 3 - System Thinking 22
• Counter-intuitive systems– Behavior contrary to common sense
– Predator - prey
– High blood pressure
– Rent control
• The “obvious” solution doesn’t work– negative feedback loops fight direct intervention
– Change the way pieces interact
– Don’t try to “out-muscle” the system
Things in Common
IE673 Session 3 - System Thinking 23
• Hidden systems– Hard to predict how system will react
– Feedback loops needed are not in sight• African village
• 1929 tariff on imports
Things in Common
IE673 Session 3 - System Thinking 24
• Vulnerable systems– Even the most stubborn system is vulnerable to
interference with information flow• Slight breeze and bicycle
– Can be used to advantage to change way system acts
Things in Common
IE673 Session 3 - System Thinking 25
• How?– Negative feedback loop breakdown
– system becomes unstable and breaks down
– A different kind of feedback - positive
Change and Growth
IE673 Session 3 - System Thinking 26
• Negative feedback works to cancel out change• Positive feedback works to cause more change
– Sound amplifier - “squawk”
– Interest on money
– Living things
– Knowledge
– Power
Change and Growth
IE673 Session 3 - System Thinking 27
• Plus and minus– The organization of every complex system is built out
of the same two elements - positive and negative loops
– Can apply knowledge about one system to another
Putting Things Together
IE673 Session 3 - System Thinking 28
• Simple system - one of each type of loop– Population growth
• Multiple loops– Add factors that could affect the loops
Putting Things Together
IE673 Session 3 - System Thinking 29
• Characteristics
• Self-stabilizing
• Goal-seeking
• Program-following
• Self re-programming
• Anticipatory
• Environment modifying
• Self-replication
• Self-maintaining and repairing
• Self-reorganizing
• Self-programming
Complex Systems
IE673 Session 3 - System Thinking 30
• Problems of complexity• The tragedy of the Commons• Cost of information
– Rule of thumb• Make each decision at the lowest possible level, but be ready
to shift the control of the situation to a higher level if a serious problem occurs
• The distortion of feedback
• Loss of predictability (due to flexibility)
Complex Systems