There are some types of job that having ADHD makes it extremely difficult to be successful and effective.

Consulting Engineering is one of those.

Being a Consultant Engineer requires mastery of lots of skills - technical skills as well as life skills. The higher levels of rank in the profession requires mastery of more life skills than lower ranks. Having ADHD makes is exceedingly difficult or impossible to master those skills and therefore perform effectively at or above certain levels of rank and responsibility.

This is a clone of "Fast Fashion ISCI 360 Solutions Final submission" created by user "V B" which we are using as the foundation for an exercise in the DTU course 12100 "Quantitative sustainability".

Please refer to the notes for each variable and stock to see which links were hidden from the model.

Part 2: Our solution for the issue surrounding "Fast Fashion" focuses on increasing individuals education about sustainability and how they can help reduce negative impacts on the environment by shopping less, recycling and donating. This effect of education on sustainability is seen in the "Online Shopping" equation where the impact of "Education on Sustainability" is increased by x1.5 which impacts the entire model. Furthermore, components of the feedback loop on the right are also influenced by increasing education on sustainability and thus, those values were altered accordingly. These values were chosen arbitrarily by taking into account that doubling any value is not realistic so the change should be between x1.0 and x2.0.

The model attempts to retrace the history of Easter Island from the time people first settled on the island i.e. 900 AD until 1600 AD. 

Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

Resources:

The model matches real world data in terms of general trajectory, but not totally. There has to be modifications in terms of determining the real defect elimination rates, as opposed to ideal ones. That would make the model more accurate. However, for the purposes of understanding dynamics in goal seeking models, this is a good exercise.

If average defect elimination time is lesser, it leads to faster goal seeking. Any delay (>1 year) makes it impossible to seek the goal in realistic timelines.