As technology speeds up we are all having to raise our game to cope with the onset of new and complex problems that inevitably need a fast fix. The old ways and methods certainly served us well, but they are increasingly putting us at risk, and it is now very often the case that:
‘Simple thinking and simple solutions no longer work’
So in my new role as a Visiting Professor at the University of Suffolk in Ipswich UK I am turning my mind to how we should educate and train our young engineers and budding managers for a future dominated by non-linearity and chaos born of increasing complexity (in the math sense).
In this slide set I have tabulated some of the many problems that we now face along with our own very human limitations. These are complemented by a series of suggestions and approaches that are proven, and about to be augmented by AI, sophisticated computer modelling, and decision support. If problems are simple, complicated and essentially linear, we generally have all the techniques and solutions to hand, but if they are complex and non-linear, we are almost always flying blind and have to apply new ways of thinking to achieve success.
We have no generalised solutions to non-linear problems, but occasionally we have point, or limited domain solutions, that are unique to a given situation. Unfortunately, classical mathematics is of limited use here and we have to resort to computational power.
This is the first in a library off presentations being prepared for the UoS