#### Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK

##### Brayan Triminio

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.

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Science Demographics Population Growth BIFURCATIONS MTBF Risk Failure Strategy

- 4 years 5 months ago

#### Clone of Bob - Expanded

##### Ammar Darkazanli

- 6 years 5 months ago

#### Clone of Jamie- Exact

##### Sean Michael Wykes

- 3 years 9 months ago

#### Clone of OVERSHOOT GROWTH INTO TURBULENCE

##### Brian Lee

The existing global capitalistic growth paradigm is totally flawed

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 limited size working capacity containers (villages communities)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Science Demographics Population Growth Strategy Weather

- 5 years 3 months ago

#### Clone of Business Development Model, Investments and Insurance sales

##### Wynand

- 6 years 7 months ago

#### Voorraad-stroom diagram - sparen - samengestelde interest

##### Henny van Dongen ★

- 5 months 1 week ago

#### Kasína

##### William Groman

- 2 months 4 days ago

#### Causaal verband diagram van een spaarrekening - enkelvoudige interest

##### Henny van Dongen ★

- 5 months 3 weeks ago

#### Clone of POPULATION LOGISTIC MAP (WITH FEEDBACK)

##### Andriy Samilyak

the maximum population is set to be one million, and the growth rate constant mu = 3. Nj: is the “number of items” in our current generation.

Delta Nj: is the “change in number of items” as we go from the present generation into the next generation. This is just the number of items born minus the number of items who have died.

mu: is the growth or birth rate parameter, similar to that in the exponential growth and decay model. However, as we extend our model it will no longer be the actual growth rate, but rather just a constant that tends to control the actual growth rate without being directly proportional to it.

F(Nj) = mu(1‐Nj/Nmax): is our model for the effective “growth rate”, a rate that decreases as the number of items approaches the maximum allowed by external factors such as food supply, disease or predation. (You can think of mu as the growth or birth rate in the absence of population pressure from other items.) We write this rate as F(Nj), which is a mathematical way of saying F is affected by the number of items, i.e., “F is a function of Nj”. It combines both growth and all the various environmental constraints on growth into a single function. This is a good approach to modeling; start with something that works (exponential growth) and then modify it incrementally, while still incorporating the working model.

Nj+1 = Nj + Delta Nj : This is a mathematical way to say, “The new number of items equals the old number of items plus the change in number of items”.

Nj/Nmax: is what fraction a population has reached of the maximum "carrying capacity" allowed by the external environment. We use this fraction to change the overall growth rate of the population. In the real world, as well as in our model, it is possible for a population to be greater than the maximum population (which is usually an average of many years), at least for a short period of time. This means that we can expect fluctuations in which Nj/Nmax is greater than 1.

This equation is a form of what is known as the logistic map or equation. It is a map because it "maps'' the population in one year into the population of the next year. It is "logistic'' in the military sense of supplying a population with its needs. It a nonlinear equation because it contains a term proportional to Nj^2 and not just Nj. The logistic map equation is also an example of discrete mathematics. It is discrete because the time variable j assumes just integer values, and consequently the variables Nj+1 and Nj do not change continuously into each other, as would a function N(t). In addition to the variables Nj and j, the equation also contains the two parameters mu, the growth rate, and Nmax, the maximum population. You can think of these as "constants'' whose values are determined from external sources and remain fixed as one year of items gets mapped into the next year. However, as part of viewing the computer as a laboratory in which to experiment, and as part of the scientific process, you should vary the parameters in order to explore how the model reacts to changes in them.

Environment MATHS Mathematics Chaos Fractals BIFURCATION Model Economics Finance TURBULENCE Population Growth DECAY STABILITY SUSTAINABLE Engineering Science Demographics Strategy

- 4 years 4 months ago

#### Clone of ISD Savings Plan

##### Vitor Monteiro Andrade Goulart

orçamentário. Que complexidades

adicionais você pode adicionar?

O sistema inicialmente possui uma entrada

simples na conta(Economias em conta).

Entradas como salário, auxilios, aluguéis

ativos. As despesas são fluxos de saídas

que contém gastos médios do mês(variáveis)

como gastos com alimentação, aluguel e roupas.

Há ainda um outro fluxo de saída para investimentos.

Esse fluxo vai para um stock de economias que

além de receber esse fluxo constante ainda

recebe um acrecimo dado pela taxa de juros.

- 3 years 11 months ago

#### Clone of prova 2 aluno03 Custos Fixos Ratios Custos

##### Pagandai V Pannirselvam

- 1 year 10 months ago

#### Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)

##### Marco

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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Supply Demand Strategy

- 4 years 10 months ago

#### Clone of Kundenaquirierung durch Einflussnahme Produkt & Pricing

##### Peter Addor ★

- 5 years 5 months ago

#### Causaal verband diagram sparen - samengestelde interest

##### Henny van Dongen ★

- 6 months 12 hours ago

#### Model-SIM-GD

##### Aaron Medlin

Households consume out of both current income (wages + interest income from government bonds) and prior stock of wealth. Model assumes households only own a portion of existing government debt (equity position of government sector), so interest payment flows on government debt are defined as only those going to the households sector, the remaining proportion is assumed to be owned by the government itself and interest is paid to itself (think of a consolidated government Treasury and Central Bank as CB remits interest income, minus operational expenses, back to Treasury). The production sector is a pass through of income back to households. The production sector does not save and does not invest (i.e., buy "capital" goods from itself).

The model is stock-flow consistent as all sectoral expenditure flows are monitored to confirm balances balance as an accounting identity, as does equity.

- 3 months 3 weeks ago

#### BBA

##### Martin Stepanek

- 2 years 10 months ago

#### Stock-Flow diagram of savings account - simple interest

##### Henny van Dongen ★

- 7 months 1 week ago

#### Clone of Clone of Oil Price Influencers (3-Loop)

##### Moussounda

- 6 years 4 months ago

#### Voorraad-stroom diagram - sparen - enkelvoudige interest

##### Henny van Dongen ★

- 5 months 1 week ago

#### Clone of Invoice Payment Process

##### Juste

__Process to show the importance of on time invoice payment to the safety of USA__

- 6 years 6 months ago

#### Clone of Contract Tracking

##### gmiljevic052

- 8 years 1 month ago

#### Clone of FORCED GROWTH INTO TURBULENCE

##### Thibaud Métral

**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)

Environment Economics Finance Mathematics Physics Biology Health Fractals Chaos TURBULENCE Engineering Navier Stokes Science Demographics Population Growth BIFURCATIONS MTBF Strategy Weather

- 4 years 2 months ago

#### Clone of Business Development Model, Investments and Insurance sales

##### Wynand

- 6 years 8 months ago

#### Clone of MME_Eusebio_Wyder

##### Peter Addor ★

- 5 years 5 months ago