Insight diagram
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)

Clone of FORCED GROWTH INTO TURBULENCE
Insight diagram
A tool designed to remind us about the audience in a systemic way. 

Small groups would collectively distribute six sigma projects on the converters to understand the current state in an objective manner.

The intent of the model merely collecting evidence, students from within their communities serve as a new role to bridge the trust and rebuild hope with direct engagement. 

Thematic subjects from the SDG's
Economic, Justice, Health, nutrition and the poverty equation are segmented by three income or economic groupings.  The grouping in this manner enables us to identify patterns which are true in all parts of the world.   (80/20 rule)



People with Healthcare in any population - Disabled Determination
Insight diagram
Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773
Clone of Complex Decision Technologies
Insight diagram

Addition of an acceptance test which discovers rework (Cooper et al.) plus introduction of new tasks and tipping point (Taylor and Ford). Here schedule pressure producing overtime is also added

Clone of Project management 104
Insight diagram
o projeto de  eco cidade sustentavel
o projeto biogas , espirulina  algae
1. Simulacao de proceso de  producao BioD
  
Sistema integrado de tecnologia Biogas, cidade ecologica e Economia Verde | Insight Maker 
https://insightmaker.com/insight/115796/Sistema-integrado-de-tecnologia-Biogas-cidade-ecologica-e-Economia-Verde 

   veja  trabalho ja realizados por ex alunos 
 2. Simulacao de proceso de  producao  biohidogenio

 3 .Simulacao de proceso de  producao Biogas
veja  aqui  dados pode ajuda  sobre  desenvolbimento de trabalho
http://www.biowattsonline.com
veja o valor entrada  e saida 
validacao de caculo  via modelos simples de caculadora 
IWA Vienna 2011/Presentation 3 Bolzonella Mass & Energy balance VALORGAS ADSWEC Vienna 2011.pdf 
 http://www.valorgas.soton.ac.uk/Pub_docs/IWA%20Vienna%202011/Presentation%203%20Bolzonella%20Mass%20&%20Energy%20balance%20VALORGAS%20ADSWEC%20Vienna%202011.pdf


Clone of Clone of Sistema integrado de tecnologia BioD e Economia Verde
Insight diagram
A model to gain understanding of the causes and effects of a population's interest in engineering.
Public interest in engineering
Insight diagram
A causal loop diagram for a Modified Centralized Water System.
Causal Loop Diagram for Modified Centralized Water Treatment System
Insight diagram
A tool designed to remind us about the audience in a systemic way. 

Small groups would collectively distribute six sigma projects on the converters to understand the current state in an objective manner.

The intent of the model merely collecting evidence, students from within their communities serve as a new role to bridge the trust and rebuild hope with direct engagement. 

Thematic subjects from the SDG's
Economic, Justice, Health, nutrition and the poverty equation are segmented by three income or economic groupings.  The grouping in this manner enables us to identify patterns which are true in all parts of the world.   (80/20 rule)



Clone of People with Healthcare in any population - Disabled Determination
Insight diagram
A model to gain understanding of the causes and effects of a population's interest in engineering.
Clone of Public interest in engineering
Insight diagram
o projeto de  eco cidade sustentavel
o projeto biogas , espirulina  algae


biogas palma forrageiras 

https://drive.google.com/open?id=15ZrxnrlsIslVDadiibrjs5bY0kge_3Jk

1. Simulacao de proceso de  producao BioD
 
 2. Simulacao de proceso de  producao  biohidogenio

 3 .Simulacao de proceso de  producao Biogas e   micro  alga  sistema  integrada fluxograma 
    Mass Balance for Closed Biogas Cum Microalgae Culturing System Material Balance Engineering Diagrams : Dcwest 
 https://www.dcwestyouth.com/material-balance-engineering-diagrams/mass-balance-for-closed-biogas-cum-microalgae-culturing-system-material-balance-engineering-diagrams/
Sistema integrado de tecnologia Biogas, cidade ecologica e Economia Verde
Insight diagram
Find the steady state completely mixed model with reaction decay and the three-compartment steady state model with reaction decay of a non-conservative tracer.
Clone of ENVE 431 - HW 5 - Problem #4
Insight diagram

Addition of an acceptance test which discovers rework (Cooper et al.) plus introduction of new tasks and tipping point (Taylor and Ford). Here schedule pressure producing overtime is also added

Clone of Project management 104
Insight diagram
A tool designed to remind us about the audience in a systemic way. 

Small groups would collectively distribute six sigma projects on the converters to understand the current state in an objective manner.

The intent of the model merely collecting evidence, students from within their communities serve as a new role to bridge the trust and rebuild hope with direct engagement. 

Thematic subjects from the SDG's
Economic, Justice, Health, nutrition and the poverty equation are segmented by three income or economic groupings.  The grouping in this manner enables us to identify patterns which are true in all parts of the world.   (80/20 rule)



Clone of People by Segments for Local Planning - Human Rights
Insight diagram
Tyson Browning (2009) ​The Many Views of a Process:Toward a Process Architecture Framework for Product Development Systems Engineering: paper
Clone of Process Architecture Framework
Insight diagram
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)
Insight diagram
Mass and Heat Balance for POME
Calculadora deModelo de Balanco de Massa e Energia biogas
Insight diagram
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 Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Insight diagram
Modeling the change in concentration of O2 in a lake with a continuous loading of BOD, modeled as a CSTR
ENVE 431 - Lake/Lagoon as CSTR
Insight diagram
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 Clone of Clone of Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
Insight diagram
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 Clone of BATHTUB MEAN TIME BETWEEN FAILURE (MTBF) RISK
Insight diagram
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 Clone of Clone of THE BROKEN LINK BETWEEN SUPPLY AND DEMAND CREATES CHAOTIC TURBULENCE (+controls)
Insight diagram
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)
Insight diagram
Simulação de processo de  produção de Bio Diesel

O biodiesel pode ser produzido a partir de fontes renováveis como óleos e gorduras animais e vegetais. A Medida Provisória n° 214, de 13 de setembro de 2004, define o biodiesel como um combustível para motores a combustão interna com ignição por compressão, renovável e biodegradável, derivado de óleos vegetais ou de gorduras animais, que possa substituir parcial ou totalmente o óleo diesel de origem fóssil.
Clone of Sistema integrado de tecnologia do Bio Diesel
Insight diagram
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)