Processing device, processing method, and storage medium

A processing method, comprising:

• referring to a plurality of data sets, each of the data sets including previous plan data and performance data, the previous plan data being of a time series of a relationship between time and a target production volume of a previous plan, the performance data being of performance with respect to the previous plan;
• calculating a plurality of first evaluation values for a plurality of sets of the performance data by using distances between new plan data and each of a plurality of sets of the previous plan data, the new plan data being of a time series of a relationship between time and a target production volume of a new plan, the plurality of first evaluation values being of an evaluation as a prediction of performance with respect to the new plan data;
• inputting a new plan image to a first model and calculating a plurality of second evaluation values for the plurality of sets of performance data by using a classification result of the new plan image output from the first model, the new plan image being of the relationship between time and the target production volume of the new plan, the plurality of second evaluation values being of an evaluation as a prediction of the performance with respect to the new plan data;
• and
• extracting at least one of the plurality of sets of performance data by using the plurality of first evaluation values and the plurality of second evaluation values.

A storage medium storing a program,

• the program causing a processing device to:
• refer to a plurality of data sets, each of the data sets including previous plan data and performance data, the previous plan data being of a time series of a relationship between time and a target production volume of a previous plan, the performance data being of performance with respect to the previous plan;
• calculate a plurality of first evaluation values for a plurality of sets of the performance data by using distances between new plan data and each of a plurality of sets of the previous plan data, the new plan data being of a time series of a relationship between time and a target production volume of a new plan, the plurality of first evaluation values being of an evaluation as a prediction of performance with respect to the new plan data;
• input a new plan image to a first model and calculate a plurality of second evaluation values for the plurality of sets of performance data by using a classification result of the new plan image output from the first model, the new plan image being of the relationship between time and the target production volume of the new plan, the plurality of second evaluation values being of an evaluation as a prediction of the performance with respect to the new plan data;
• and
• extract at least one of the plurality of sets of performance data by using the plurality of first evaluation values and the plurality of second evaluation values.