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ASU Population Growth
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Simulation of MTBF with controls

F(t) = 1 - e ^ -λt 
Where  
• F(t) is the probability of failure  
• λ is the failure rate in 1/time unit (1/h, for example) 
• t is the observed service life (h, for example)

The inverse curve is the trust time
On the right the increase in failures brings its inverse which is loss of trust and move into suspicion and lack of confidence.
This can be seen in strategic social applications with those who put economy before providing the priorities of the basic living infrastructures for all.

This applies to policies and strategic decisions as well as physical equipment.
A) Equipment wears out through friction and preventive maintenance can increase the useful lifetime, 
B) Policies/working practices/guidelines have to be updated to reflect changes in the external environment and eventually be replaced when for instance a population rises too large (constitutional changes are required to keep pace with evolution, e.g. the concepts of the ancient Greeks, 3000 years ago, who based their thoughts on a small population cannot be applied in 2013 except where populations can be contained into productive working communities with balanced profit and loss centers to ensure sustainability)

Early Life
If we follow the slope from the leftmost start to where it begins to flatten out this can be considered the first period. The first period is characterized by a decreasing failure rate. It is what occurs during the “early life” of a population of units. The weaker units fail leaving a population that is more rigorous.

Useful Life
The next period is the flat bottom portion of the graph. It is called the “useful life” period. Failures occur more in a random sequence during this time. It is difficult to predict which failure mode will occur, but the rate of failures is predictable. Notice the constant slope.  

Wearout
The third period begins at the point where the slope begins to increase and extends to the rightmost end of the graph. This is what happens when units become old and begin to fail at an increasing rate. It is called the “wearout” period. 
Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
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A revised theory around business development and the variables that impact the successful uplift in the sales of financial products via adviser intermediaries who deal with clients. Key role players are the brokerage in this case AIFA, advisers representing AIFA, adviser sales support, product providers.
Clone of Business Development
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Данная модель иммитирует изменение личного счета в течение времени.
Модель основана на http://www.circularmoney.org/
Clone of Личный счет
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A model of some of the most important KPIs in a startup's business model.
Startup Profitability
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Clone of Curso de Insight Maker (Finanças)
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A model explaining the relationships between: an in-house advisory firm, multi-tied advisers, customers, in-house product providers, in-house sales support and business development initiatives.
Business Development Model, Investments and Insurance sales
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Simulace těžení BTC
Těžba BTC
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Macquarie University | MGMT220: Fundamentals of Business Analytics | Assignment Task #3: Complex Systems by Ying Chen (42151619)

This simple model uses the following key factors to demostrate the behaviour within the real estate market, bank's interest rates, median sale price, and listed sale price.

Sliders located below can be used to set values to simulate the affects over time.
Clone of Factors Affecting the Real Estate Market by 42151619
8 months ago
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A model of an infectious disease and control

Clone of Disease Dynamics (Agent Based Modeling) Guy Lakeman
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The Bioresource Model is circular in its nature, and can be divided into two halves, or arcs, within the circle:
1) Primary bioresources = the food and fiber system, and
2) Secondary bioresources = organic waste that is manufactured into secondary bioproducts, e.g. soil amendments (like compost), animal feed, materials & chemicals, and energy (fuels, electricity, and CHP)
Bioresource Model
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At the dawn of our century financials markets collapsed in what is call “the burst of the internet bubble”. There are many things which can explain this bursting and before that, the emergence of the bubble. In this document we will try to show what this factors are and how they are related each other.

KD/AP_Projects INFO&DECISION
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This is a more complex diagram of Jamie's personal finance which includes her withholdings from each paycheck.
Jamie- Expanded
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Modelo Financeiro

Exemplo simples de um problema de Análise Investimento numa empresa que produz e vende um único produto. O investimento inicial e o tempo de amortização são parâmetros do modelo que podem ser ajustados, deslizando os pontos nas réguas abaixo.

Clique em SIMULATE para rodar a simulação e ver o gráfico e a tabela com os valores das principais variáveis financeiras do modelo.

Clique em CLONE INSIGHT para fazer uma cópia integral do modelo para sua conta no Insight Maker. Na sua cópia mude o que quiser no modelo. Qualquer dúvida, entre em contato comigo.

Por Prof. Paulo Villela
paulo.villela@engenharia.ufjf.br

Modelo Financeiro
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FORCED GROWTH GROWTH GOES INTO TURBULENT CHAOTIC DESTRUCTION 
 BEWARE pushing increased growth blows the system!
(governments are trying to push growth on already unstable systems !)

The existing global capitalistic growth paradigm is totally flawed

The chaotic turbulence is the result of the concept and flawed strategy of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite limited size working capacity containers (villages communities)

PHYSICS: FORCED GROWTH INTO TURBULENCE
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Simple causal loop diagram of a simple interest savings account.
Clone of Causal loop diagram of savings account - simple interest
8 months ago
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British monetary policy
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Clone of Vizia GR
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THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES TURBULENT CHAOTIC DESTRUCTION

The existing global capitalistic growth paradigm is totally flawed

Growth in supply and productivity is a summation of variables as is demand ... when the link between them is broken by catastrophic failure in a component the creation of unpredictable chaotic turbulence puts the controls ito a situation that will never return the system to its initial conditions as it is STIC system (Lorenz)

The chaotic turbulence is the result of the concept of infinite bigness this has been the destructive influence on all empires and now shown up by Feigenbaum numbers and Dunbar numbers for neural netwoirks

See Guy Lakeman Bubble Theory for more details on keeping systems within finite working containers (villages communities)

Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
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Modelo de Producción que muestra la relación existente entre las entregas que se quieren realizar de una mercancía, va ligado al nivel de pedidos,  los pedidos a la producción deseada, y esta producción va a la existencia deseada, todo directamente relacionado
Modelo Producción
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Model-SIM from chapter 3 of Wynn Godley and Marc Lavoie's Monetary Economics. Simplest model with government money that is also stock-flow consistent.
Clone of Model-SIM
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Controle de uma fazenda de leite, onde o número de vacas e a quantidade de leite produzido e o custo da produção interfere no lucro.
Comércio de Leite
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This is what I would imagine how most of the US's personal finances look: The individual has a retirement account set up or will be getting pensions upon retiring and has replaced his or her rent payment with a mortgage, which will go away after 15-30 years.
Bob - Expanded
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Simple model used to assess the likely outcome of Revenue and Profit due to variability of purchase price, price impact on Units Sold, and Units Sold impact on Unit Cost.
Clone of Impact of variable price on revenue & profit