CleanAir can use statistical software and Design of Experiments (DOE) to set up test programs for engineering problem solving and process optimization. Using DOE enables CleanAir to identify the relationships between multiple input variables and determining the best settings for the desired outcome. By adjusting multiple variables for each run CleanAir can identify important relationships that would not be economically identified by changing one variable at a time. All variable combinations can be investigated or only the most likely combinations.
CleanAir also can determine the most economical return on test program investments by precalculating the run times needed to secure sufficient samples and the best analytical procedures to achieve the optimum analytical accuracy.
CleanAir can also confirm input/output relationships and develop a predictive computer models to performing what-if analysis.