Thinking in Systems, A Primer by D. Meadows

Donella Meadows was an American Environmentalist who was born in Illinois, USA in 1941. She was educated in chemistry and Biophysics. In 1970 she joined Dennis Meadows’s team who developed the World3 model, which was the basis of another famous book from her – “The Limits to Growth.” The model was about human population and economic growth in a finite world.

She received numerous awards for her contributions to sustainability (conservation and environment). She taught environmental studies at Dartmouth college for 29yrs from 1972 until her death in 2001. She passed away due to meningitis.

Summary of the book

A system is more than the sum of all parts. It encompasses dynamic interconnections that facilitate the flow of material and information to an end point or decision-making point. The structure, which is the combination of the elements, and their interconnections determine the systems behaviour.

A system encompasses stocks and flows wherein stocks are like temporary storage or buffers with dynamically varying levels. The flows consist of feedback loops that are either balancing or reinforcing. The rate of inflows and outflows determines the stock levels at any given time. These form the basis of a system’s future behavioural characteristics. A good modeling of the system would help perform what-if scenario analysis and make decisions that yield better results.

Often in practical systems, the loops tend to dominate each other resulting in a system’s response that is oscillatory, grows exponentially or decays over a certain time. Delays within the system are major influencing factors of the system’s behavior. And similarly, there dominance also tends to shift from one loop to the other, referred to as the systems dynamics. These dynamic behaviours could lead to stressing the stock levels, sometimes beyond the stage of regeneration and results in extinction. The same phenomenon reflects as business cycles or recessions in a nations economy, which are events due to the underlying behaviour and structure of the system. When neither of the loops dominate, the system reaches a state of stability.

“1 AND 1 = 2”
You think that because you understand “one” that you must therefore understand “two” because one and one make two. But you forget that you must also understand “and”.

– from the book

She goes on to say that archetypes are the underlying structures that lead to characteristic, repeating behaviours of the systems. She also calls them “traps “and suggests that by altering these structures the characteristic behaviours can be changed, thus avoiding the various traps.

Further she suggests a set of leverage points, the points within the system or external to the system where one could intervene to alter the behaviour of the system such that it produces more of what is desired and less of what is undesired. She emphasizes the less significance of numbers as compared to the paradigms (or mindsets) on the impact on systems behaviour.

She concludes her book by suggesting a few philosophies to traverse the world of systems but states that “In the end, it seems that mastery has less to do with pushing leverage points than it does with strategically, profoundly, madly, letting go and dancing with the system.”

In the end, it seems that mastery has less to do with pushing leverage points than it does with strategically, profoundly, madly, letting go and dancing with the system.

-from the book

Key points

• Systems & Systems Thinking
• Stocks & Flows
• Feedback loops – Reinforcing & Balancing
• Dominance & Dynamic Equilibrium
• Delays & Oscillations
• Critical Thresholds & Business Cycles
• Resilience, self-organizing, hierarchical
• Events, Behaviors, Structures
• Linearity and non-linearity
• Limiting factors, Bounded rationality
Archetypes, the Traps – Policy resistance, Tragedy of commons, Drift to Low Performance, Escalations, Success to the Successful, Shifting the Burden to the Intervenor, Rule Beating, Seeking the Wrong Goal
Leverage points – Numbers, buffers, stock & flow structures, delays, balancing FB loops, reinforcing FB loops, information flows, rules, self-organization, goals, paradigms, transcending paradigms
Wisdom of Systems – Pulse of the system, expose your models and assumptions, Information sharing, don’t ignore the un-quantifiable, feedback policies, intrinsic responsibilities, error embracing and learning, short term and long-term views, inter-disciplinary vs solving the real problem, goal of goodness

Here are some questions that I think will help comprehend the points she made in her book

  1. What is the authors definition of Systems, Systems Thinking and do we see any difference with our terminologies from the SE definitions?
  2. The author asserts that systems with similar feedback structures produce similar dynamic behaviors. Are there any different perspectives? Ref. (Pg50-51)
  3. How could we identify reinforcing and balancing feedback loops? (Pg 58 – 59)
  4. What is Dynamic equilibrium in the context of systems with multiple reinforcing and balancing feedback loops? (Pg 43 – 44)
  5. Given a scenario where the system uses renewable resources (e.g. fish), can the system grow forever? Why and Why-not? (Pg58 – 72)
  6. What are the traits of a well-functioning system? (pg 75 – 85)
  7. Why does she think the “just-in-time” system is more vulnerable? (pg 77)
  8. Do you see any similarity with contemporary modular design approaches and the Hora & Tempus story? (pg 83)
  9. Suboptimization & Central control w.r.t. system and subsystem goals (pg 85)
  10. What is the approach to be taken when modeling systems? (pg 90 – 96)
  11. What does she mean when she says, “systems surprise us”? (pg 90 – 110)
  12. How do we define the system boundaries? (pg 96)
  13. What does shifting limiting factors mean? (pg 102)
  14. What are archetypes? How can we identify & avoid them? (pg 111-113)
  15. What is policy resistance trap? Why does it arise? What methods does she suggest to address them? (pg 113 – 115)
  16. What are the 8 Traps she describes? Why do they arise? What methods does she suggest to address them? (pg 116- 141)
  17. Any thoughts on how do some of these “Traps” manifest in our Engineering Systems?
  18. Are Archetypes and Traps the same?
  19. DM’s list of intervention points to change structures of systems to produce more of what is desire (pg 145 – 165)
  20. The “Systems Wisdom” she mentioned (pg 170 to 185)

Some links to additional information about Donella Meadows and in general Systems Thinking

  1. Systems Thinking Resources – The Donella Meadows Project
  2. Donella Meadows – Wikipedia
  3. System Dynamics: Systems Thinking and Modeling for a Complex World (youtube.com)
  4. What is Systems Thinking? (youtube.com)

Comments

One response to “Thinking in Systems, A Primer by D. Meadows”

  1. Thank you

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