A set condition determining method for manufacturing facilities includes: inputting, into a trained model, a manufacturing condition for a target product and a setup condition that is for a product manufactured in same manufacturing facilities before manufacture of the target product and that reflects setup condition modification by an operator's manual manipulation; and obtaining a setup condition for the target product. The trained model has been trained with input being: manufacturing conditions for the target product; and setup conditions that are for the product manufactured in the same manufacturing facilities before the manufacture of the target product and that reflect setup condition modification by an operator's manual manipulation, and output being setup conditions for the target product.

A method is provided for the enabling of machine functions on a spinning-mill machine comprising multiple components. The method includes transfer of machine-specific data to an enabling device that is physically remote from the spinning-mill machine; evaluation of the machine-specific data through the enabling device; selection of enabling data through the enabling device depending on the machine-specific data; transfer of the enabling data to the spinning-mill machine; and enabling of specific machine functions depending on the enabling data.

A machine tool for machining a workpiece includes a control device for moving a rotating tool relative to the workpiece. The device includes an input information-reading unit and a path-setting unit. The input information-reading unit reads input information, which relates to a path along the contour of the workpiece or the tool path of a first rotating tool that follows the external form of the workpiece. The path-setting unit converts the input information read by the input information-reading unit to generate a tool path for performing the machining using the end cutting edge of a second rotating tool.

There is provided a manufacturing facility anomaly diagnostic device that makes it possible to perform anomaly diagnosis of a manufacturing facility. The anomaly diagnostic device includes a feature value storage unit configured to hold information of a feature value that captures an operation state of a manufacturing facility, a data conversion unit configured to convert data, a feature value analysis unit configured to analyze the data converted by the data conversion unit, a data restoration unit configured to restore the data, an anomaly degree calculation unit configured to calculate an anomaly degree, and an anomaly diagnostic unit configured to perform anomaly diagnosis.