  Defining an effective way to design stable emulsions with limited resources
is a challenge that every laboratory is facing at least once. Two ways of
experiments have been trending as a cost-and-time-efficient method to explore
factor impact (environmental ones such as temperature, or inherent like
composition), and finally optimize formulations: i. multidimensional methods
based on a dichotomic approach which require to change parameters one by one.
These methods are commonly known to be quite ineffective to accurately
correlate parameters; ii. in Design of Experiments (DOE), only a restricted
number of experiments are required to understand, develop and predict new paths
to formulation or new theories, though it usually requires specific and
expensive software and specific mathematic skills. Our work aims to show a
resource-effective way to plan experiments based on a random equidistribution
of raw material ratios (Oil/Surfactants/Water: O/S/W) in order to identify O/W
emulsion stability condition boundary.
