| סיכום: | This article aims to illustrate one of the many applications of Industry 4.0 through the use of multivariate analytical procedures and multi-response machine learning models, as a way to analyze, model and standardize the relationships between the different input and output variables that drive jams’ formulation. This research work is accomplished in a company dedicated to the production and commercialization of agricultural products, it describes the methodology study used that helped to find the ranges of values for the levels of sugar (°Bx) and acidity (pH) that satisfy mathematics and statistically the finished product release parameters defined by the own company.
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