Processing system, processing method, and recording medium

A processing method, comprising:

• receiving, by an inputter, input of setting data;
• acquiring, by a model information acquirer, model information indicating a first model to be applied to the setting data to suppress a first error included in a first processing result of a processing device due to a unique characteristic before being installed at a factory, the processing device being installed in the factory and processing an object based on the setting data;
• acquiring, by an environment information acquirer, environment information indicating environment of the processing device installed in the factory;
• acquiring, by an error information acquirer, error information indicating a second error between the target value and a second processing result of the processing device that processes the object in the factory using the first model based on the setting data input in the factory;
• learning, by a learner, a second model for suppressing the second error from the environment information and the error information;
• and
• processing, by the processing device, the object based on the results of applying the first model and the second model to the setting data.

A non-transitory computer-readable recording medium storing a program for causing a computer to execute processing, the processing comprising:

• receiving setting data;
• acquiring model information indicating a first model to be applied to the setting data to suppress a first error included in a first processing result of a processing device due to a unique characteristic before being installed at a factory, the processing device being installed in the factory and processing an object based on the setting data;
• acquiring environment information indicating environment of the processing device installed in the factory;
• acquiring error information indicating a second error between the target value and a second processing result of the processing device that processes the object in the factory using the first model based on the setting data input in the factory;
• learning a second model for suppressing the second error from the environment information and the error information;
• and
• processing the object based on the results of applying the first model and the second model to the setting data.