Computer-implemented method for creating control data sets, CAD/CAM system, and manufacturing plant

A computer-implemented method, which is carried out by one or more computers, for creating computerized numerical control data sets for controlling machine tools in a usage environment, the control data sets being read in from associated machine tools for machining starting materials, the method comprising:

• receiving a first component data set representing a digital design model of a first component;
• creating a first computerized numerical control data set for the first component data set using control program generation software, wherein the control program generation software comprises an assessment routine which uses a trained machine learning algorithm with settable parameters, wherein starting values of the parameters were determined by training a machine learning training algorithm which corresponds to the trained machine learning algorithm;
• compiling a first additional training data set from the component data set and the created computerized numerical control data set, and outputting the first additional training data set to a usage-environment-specific training database;
• updating the machine learning algorithm by setting usage-environment-specific values for the parameters, wherein the usage-environment-specific values were determined by training the machine learning training algorithm using the usage-environment-specific training database;
• receiving a second component data set representing a digital design model of a second component;
• and
• creating a second computerized numerical control data set for the second component data set by using the control program generation software and running through the assessment routine, wherein the machine learning algorithm whose parameters have been updated is used.