Prediction apparatus, prediction method, and program

A prediction method comprising:

• reading, by a prediction apparatus that predicts a characteristic value of a product by using process data obtained from a production facility, the process data from a storage device configured to store the process data obtained from the production facility;
• generating, by the prediction apparatus, a prediction model on the basis of causality information that defines a combination of first process data and second process data or a value corresponding to the second process data, the first process data and the second process data or the value corresponding to the second process data being included in the read process data, the first process data being used as a predetermined explanatory variable, the second process data or the value corresponding to the second process data being used as a response variable, the prediction model having learned features of the process data obtained from the production facility,
• wherein the generating of the prediction model includes generating the prediction model and determining a positive/negative variation direction of the response variable in accordance with a positive/negative variation direction of the predetermined explanatory variable.

A program causing a prediction apparatus that predicts a characteristic value of a product by using process data obtained from a production facility to perform:

• reading the process data from a storage device configured to store the process data obtained from the production facility;
• generating a prediction model on the basis of causality information that defines a combination of first process data and second process data or a value corresponding the second process data, the first process data and the second process data or the value corresponding to the second process data being included in the read process data, the first process data being used as a predetermined explanatory variable, the second process data or the value corresponding to the second process data being used as a response variable, the prediction model having learned features of the process data obtained from the production facility,
• wherein the generating of the prediction model includes generating the prediction model and determining a positive/negative variation direction of the response variable in accordance with a positive/negative variation direction of the predetermined explanatory variable.