Information processing method, method for manufacturing resin composition, information processing apparatus, and information processing program

Abstract

To improve the prediction accuracy of the color of the material layer formed under the demand-side manufacturing conditions even when the manufacturing conditions on the demand side are unknown, the information processing method disclosed herein firstly constructs a numerical model (152) representing the relationship between the first color information (C1) and the second color information (C2) by using regression analysis with each of a plurality of defined resin compositions under the first manufacturing conditions as an explanatory variable and each of a plurality of defined resin compositions under the second manufacturing conditions as a target variable. Then, using the constructed numerical model (152), the fourth color information (C4) of the fourth material layer formed under the second manufacturing conditions using a specific resin composition is predicted based on the third color information (C3) of the third material layer formed under the first manufacturing conditions using a specific resin composition.

Images