Model fidelity monitoring and regeneration for manufacturing process decision support

A system comprising:

• a memory having computer readable instructions;
• and
• one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
• determining that an output of a regression model corresponding to a current time period of decision support for a manufacturing process is not within a predefined range of a historical process dataset from the manufacturing process, wherein the regression model was constructed based on the historical process dataset;
• based on determining that the output of the regression model corresponding to the current time period of decision support for the manufacturing process is not within the predefined range of the historical process dataset, performing an accuracy and fidelity analysis on the regression model based on process data from the manufacturing process corresponding to a previous time period;
• based on a result of the accuracy and fidelity analysis being below a threshold, determining a mismatch of the regression model as compared to the manufacturing process;
• based on determining the mismatch, generating a temporary regression model corresponding to the manufacturing process;
• and
• performing decision support for the manufacturing process based on the temporary regression model.

A computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by one or more processors to cause the one or more processors to perform operations comprising:

• determining that an output of a regression model corresponding to a current time period of decision support for a manufacturing process is not within a predefined range of a historical process dataset from the manufacturing process, wherein the regression model was constructed based on the historical process dataset;
• based on determining that the output of the regression model corresponding to the current time period of decision support for the manufacturing process is not within the predefined range of the historical process dataset, performing an accuracy and fidelity analysis on the regression model based on process data from the manufacturing process corresponding to a previous time period;
• based on a result of the accuracy and fidelity analysis being below a threshold, determining a mismatch of the regression model as compared to the manufacturing process;
• based on determining the mismatch, generating a temporary regression model corresponding to the manufacturing process;
• and
• performing decision support for the manufacturing process based on the temporary regression model.

A computer-implemented method comprising:

• identifying, by a processor, a neighborhood of a current output of a process step regression model, the process step regression model corresponding to a single stage of a manufacturing process;
• based on identifying the neighborhood, performing opportunity modeling of the single stage of the manufacturing process based on the process step regression model;
• and
• based on being unable to identify the neighborhood, regenerating the process step regression model.

A system comprising:

• a memory having computer readable instructions;
• and
• one or more processors for executing the computer readable instructions, the computer readable instructions controlling the one or more processors to perform operations comprising:
• identifying a neighborhood of a current output of a process step regression model, the process step regression model corresponding to a single stage of a manufacturing process;
• based on identifying the neighborhood, performing opportunity modeling of the single stage of the manufacturing process based on the process step regression model;
• and
• based on being unable to identify the neighborhood, regenerating the process step regression model.