Patent ID: 11880176
Assignee: 3M INNOVATIVE PROPERTIES COMPANY
Field: Control (Instruments)
Classification: CPC G | IPC G

Claim 11:
12. A system that implements predictive modeling to select a product for an industrial process, comprising:
at least one processor; and
a non-transitory memory storing instructions that when executed by the at least one processor cause the at least one processor to perform operations comprising:
retrieving input variables relating to characteristics of a set of products;
retrieving output variables relating to performance of each of the set of products;
generating a data model of the products, the data model representing contributions to changes in the output variables by the respective input variables;
performing multivariate analysis of the input variables and output variables to generate a data model of the operation of the industrial process, and the data model representing contributions to changes in the output variables by the respective input variables;
automatically generating a Design of Experiments (DoE) design for an input variable space of the industrial process;
processing an experimental design using the data model;
providing results of the processing the experimental design based on preferred outcome to a predictive algorithm;
the predictive algorithm identifying parameter values for input variables expected to have a most significant impact on selected output variables during performance of the industrial process, making predictions of a predetermined number of best next trials for the DoE, and outputting parameter values for the predetermined number of best next trials and probabilities of improved results using the parameter values;
providing the parameter values as the input variables to the industrial process to optimize the selected output variables; and
recommending a product that optimizes the selected output variables for specified input variables; and

a controller that generates a graphics interface that comprises the product recommendation.