It can be concluded that the laboratory scale simulated cleaning
and sanitizing, and the establishment of a mathematical model to
predict the prevalence of viable microorganisms that remain
in situ following cleaning and sanitizing, of the processing environment
are very useful tools for the factory. Modeling should be conducted
prior to the factory decision on the changing of established
cleaning and sanitizing procedures, or the implementation of a
new one. Once the proper model had been constructed, the factory
can use it to explore what would be the most appropriate cleaning
and sanitizing condition to suit their set up with minimal cost and
loss of productivity. The model can also be used to validate the chosen
procedure in an iterative fashion once it has been implemented
by monitoring the microorganism prevalence on the processing
environment, as exhibited in this study. This method possesses several
advantages over what food processing factories are currently
practicing. It provides reliable scientific data on the effectiveness
of the detergent and sanitizer to specified microorganisms as they
are used in the actual working environment, whereas, currently,
the factory usually has to rely on what the supplier(s) inform them.
It also provides guidance for the factory on what exactly will occur,
and how it will occur, when the cleaning and sanitizing procedure
has been adjusted, instead of the current situation of guessing or
even conducting trial-and-error experiments to find out the answer