Ongoing data analysis can lead to better batch production and improved profitability.
Many variables go into determining a batch's rank and typically a limited number of people are able to observe the cause and effect of more than a few variables. If we look at the production process as a black box, we can see a series of ingredients, each with a set of measurable quality parameters. For example, if an ingredient is a fruit juice, the quality parameters may be acidity, percent of solids, brix, etc. We also see a series of process variables (temperature, pressure, etc.) that impact the ranking of a batch.