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Why Systems Surprise Us: Chapter 4

Why Systems Surprise Us: Chapter 4. EIND 142 Spring 2018. Overview. We view the world as a model, but based on our understanding of events- thus we are often surprised. The Issue.

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Why Systems Surprise Us: Chapter 4

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  1. Why Systems Surprise Us:Chapter 4 EIND 142 Spring 2018

  2. Overview • We view the world as a model, but based on our understanding of events- thus we are often surprised

  3. The Issue • Systems thinking goes back and forth constantly between structure (diagrams of stocks, flows, and feedback) and behavior (time graphs). • We are trained to think event –event analysis. This is the simplistic approach on the news. • The market went down because of inflation worries. • The issue is these simple statements give us no context for what will happen tomorrow. • We should look at behavior over time to help us understand structure.

  4. The point • These behavior-based models are more useful than event-based ones, but they still have fundamental problems. • We don’t know stocks and delays for instance. • Most models are based on historical data- like driving your car by looking in the rear view mirror. • This often fails to anticipate the future because things change. • Do errors occur more often in short term or long term forecasts?

  5. Bottom Line • And that’s one reason why systems of all kinds surprise us. We are too fascinated by the events they generate. • We pay too little attention to their history. And we are insufficiently skilled at seeing in their history clues to the structures from which behavior and events flow.

  6. Linear Minds in a Non Linear World • Consider the fertilizer example in the book (p. 91). • A little tasteful advertising can awaken interest in a product. A lot of blatant advertising can cause disgust for the product. • The mythical man- month in project management • Conclusion: • Nonlinearities are important because they change the relative strengths of feedback loops. They can flip a system from one mode of behavior to another.

  7. Boundaries and Cradle to grave thinking • Generally there is no boundary for a system. Things come from someplace and go someplace! • That is the reason for the system life cycle in systems engineering. • Consider waste / sewage: is it reasonable to have the “cloud” of the system end with “dispose in the river?” • Can boundaries be too big? • Remember that boundaries are of our own making, and that they can and should be reconsidered for each new discussion, problem, or purpose.

  8. How do we address this? • we live in a world in which many causes routinely come together to produce many effects. • Multiple inputs produce multiple outputs, and virtually all of the inputs, and therefore outputs, are limited. • Law of the minimum or theory of constraints. • BUT… • These issues change, there are things we do not know, new factors emerge

  9. Delays (Again) • Delays are ubiquitous in systems. Every stock is a delay. Most flows have delays—shipping delays, perception delays, processing delays, maturation delays. • The delay between catching an infectious disease and getting sick enough to be diagnosed—days to years, depending on the disease. • It takes 3 to 8 years to design a new car and bring it to the market. That model may have 5 years of life on the new-car market. Cars stay on the road an average of 10 to 15 years.

  10. The challenge- rationality? • It would be so nice if the “invisible hand” of the market really did lead individuals to make decisions that add up to the good of the whole. • Unfortunately, there are multiple examples of people acting rationally in their short-term best interests and producing aggregate results that no one likes. WHY? • Bounded rationality means that people make quite reasonable decisions based on the information they have. But they don’t have perfect information, especially about more distant parts of the system.

  11. Systems thinking- the realities • Businessmen don’t know for sure what other businessmen are planning to invest, or what consumers will be willing to buy, or how their products will compete. • We misperceive risk, assuming that some things are much more dangerous than they really are and others much less. • We live in an exaggerated present—we pay too much attention to recent experience and too little attention to the past, focusing on current events rather than long-term behavior. • We discount the future at rates that make no economic or ecological sense. We don’t give all incoming signals their appropriate weights.

  12. Assignment: Due 2/19 • Read this NASA summary of Fukushima- Daiichi and write a one page summary of how the mistakes described tie into the discussion in this part of the book and summarized in these slides. • https://nsc.nasa.gov/resources/case-studies/detail/the-great-wave-of-reform

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