An investigative engineering approach is typical of most project work undertaken by Noetic – it places strong emphasis on defining the underlying relationships between controlling variables, linking them to the governing economics, and recognizing the role of each element as part of a system.
We set out to acquire the information needed to develop an engineering model, which combines a series of mathematical models or equations to describe a system. These models are selected to characterize sub-system behaviour by integrating theoretical formulations with empirical information derived from experimental data.
We limit model development to obtaining a practically useful quantitative description of how design variables affect system performance, a point that is well short of achieving theoretical perfection. Engineering models allow us to focus on aspects of system behaviour for which enhanced quantitative definition is needed to increase the level of predictability or manage uncertainty.
We then use the most appropriate tools – whether they are analytic, numeric or experimental – in the pursuit of detail, providing multi-dimensional rather than single variable control in devising design solutions.