A method for regulating an injection molding process in which process setting variables of an injection molding machine are controlled via a regulating module, which receives data from a process-internal sensor system of the injection molding machine, data on the fabricating sequence of the injection molding component parts from an external sensor system and/or data on the quality of a fabricated injection molded component part from an online component part control, evaluates these data in a quality prognosis module and, as a function of the data evaluation, performs a change in the process setting variables of the injection molding machine, because of the change in the process setting values, the working point of the injection molding machine being changed so that the quality features of the injection molded component parts fabricated using the changed working point lie within the specified tolerances of the quality of the injection molded component parts.

A machining device includes: a positional deviation detection unit configured to calculate a correction value for correcting a positional deviation between an ideal contour line and an actual contour line in each of a plurality of angular directions based on a center of a hemispherical shape of a tool; a distance effect coefficient calculation unit configured to calculate a first distance effect coefficient indicating a degree of influence of the positional deviation when machining a second machining point, according to a distance between the tool and the second machining point in a case where a machining point machined by the tool transitions from one-point machining including a first machining point in the workpiece to two-point machining including the first machining point and the second machining point; and a positional deviation correction unit configured to correct the positional deviation of the tool.

A manufacturing system is disclosed herein. The manufacturing system includes one or more stations, a monitoring platform, and a control module. Each station of the one or more stations is configured to perform at least one step in a multi-step manufacturing process for a component. The monitoring platform is configured to monitor progression of the component throughout the multi-step manufacturing process. The control module is configured to dynamically adjust processing parameters of each step of the multi-step manufacturing process to achieve a desired final quality metric for the component.

To provide more test data during the manufacture of non-volatile memories and other integrated circuits, machine learning is used to generate virtual test values. Virtual test results are interpolated for one set of tests for devices on which the test is not performed based on correlations with other sets of tests. In one example, machine learning determines a correlation study between bad block values determined at die sort and photo-limited yield (PLY) values determined inline during processing. The correlation can be applied to interpolate virtual inline PLY data for all of the memory dies, allowing for more rapid feedback on the processing parameters for manufacturing the memory dies and making the manufacturing process more efficient and accurate. In another set of embodiments, the machine learning is used to extrapolate limited metrology (e.g., critical dimension) test data to all of the memory die through interpolated virtual metrology data values.

A method for defect mitigation is disclosed. The method may include receiving defect data for one or more defects of one or more samples. The defect data may include a defect location, a defect size, a defect shape, or a relationship between the defect and a component of the one or more samples. The method may include identifying at least one defect as a disqualifying defect based on the received defect data and one or more predetermined thresholds. Upon identifying the defect as a disqualifying defect, the method may include generating a tool readable index configured to cause one or more downstream fabrications tool to adjust one or more downstream fabrication steps corresponding to the disqualifying defect based on the generated tool readable index. The method may include providing the generated tool readable index to the one or more downstream fabrication tool.