Root cause analysis framework in industrial process analytics

A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processing system to perform operations comprising:

• receiving, via graphical user interface (GUI) of the processing system, a selection of a dataset associated with one or more operations of one or more industrial automation components of an industrial system;
• receiving, via the GUI, a set of input variables associated with the dataset;
• receiving, via the GUI, a target variable associated with the dataset;
• receiving, via the GUI, a model type for analyzing the dataset;
• determining, via the processing system, a contribution of each of the set of input variables to the target variable based on the model type;
• and
• generating, via the processing system, a visualization representative of one or more statistical relationships between each of the set of input variables and the target variable based on the contribution of each of the set of input variables to the target variable.

A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processing system to perform operations comprising:

• receiving, via graphical user interface (GUI) of the processing system, a selection of a dataset associated with one or more operations of one or more industrial automation components of an industrial system, wherein the dataset is associated with one batch of a plurality of batches associated with the industrial system;
• receiving, via the GUI, a set of input variables associated with the dataset;
• receiving, via the GUI, a target variable associated with the dataset;
• receiving, via the GUI, a model type for analyzing the dataset;
• determining, via the processing system, a contribution of each of the set of input variables to the target variable based on the model type;
• generating, via the processing system, a visualization representative of one or more statistical relationships between each of the set of input variables and the target variable based on the contribution of each of the set of input variables to the target variable;
• determining, via the processing system, one or more commands for adjusting one or more operations of the one or more industrial automation components based on the one or more statistical relationships;
• and
• sending, via the processing system, the one or more commands to the one or more industrial automation components.