In the chemical industries, the Design of Experiments (DoE) is a statistical approach to reaction and process optimization that allows permission to the variation of different factors simultaneously with the goal of screening the reaction space for optimum values.
The advantage of deploying Design of Experiments (DoE) in chemical development is that multiple input parameters, or "factors", such as temperature, raw material and concentration, can be assessed simultaneously to elucidate the conditions at which the product attributes, or "responses", such as yield, selectivity and impurity level, reach an optimum value.
DoE can result in:
• Better process understanding in less time
• Shorter development cycles in manufacturing
Statistical techniques Key Concepts
• Accuracy, Determinate errors, Error analysis, Indeterminate errors, Median, Precision, Range, Sampling, Significant figures, Standard deviation (s), Variance