To reduce the disadvantage caused by low communication quality. A control system includes a controller configured to control an industrial machine, and a terminal device configured to communicate with the controller. The control system includes a communication quality measurement unit configured to measure as index indicating communication quality between the controller and the terminal device, a communication quality determination unit configured to determine the communication quality between the controller and the terminal device on the basis of the index measured by the communication quality measurement unit, a display unit configured to display an operation screen image for the controller, and a display control unit configured to control a display item of the operation screen image to be displayed on the display unit on the basis of result determined by the communication quality determination part.

Aspects of the disclosed technology provide a computational model that utilizes machine learning for detecting errors during a manual assembly process and determining a sequence of steps to complete the manual assembly process in order to mitigate the detected errors. In some implementations, the disclosed technology evaluates a target object at a step of an assembly process where an error is detected to a nominal object to obtain a comparison. Based on this comparison, a sequence of steps for completion of the assembly process of the target object is obtained. The assembly instructions for creating the target object are adjusted based on this sequence of steps.

Machine learning-based methods and systems for automated object defect classification and adaptive, real-time control of manufacturing processes are described.

A data aggregation unit acquires quality data and apparatus-information data. With respect to the quality data and the apparatus-information data acquired by the data aggregation unit, a condition setting unit sets data items of data to be counted up, a base condition indicating a condition that constitutes a basis of quality analysis, and a comparison condition indicating a condition subjected to the quality analysis. A distribution difference calculation unit extracts from the quality data and the apparatus-information data acquired by the data aggregation unit, data that meets the base condition and data that meets the comparison condition, for each of the data items set by the condition setting unit, and calculates frequency distributions of these data for each of the data items, and outputs data indicating a degree of divergence between the frequency distribution of the base condition and the frequency distribution of the comparison condition.

A control device of a substrate processing apparatus includes a reading unit, an estimation unit, a comparison unit, and a correction unit. The reading unit reads out a reference processing condition for processing a substrate. The estimation unit estimates an actual processing condition when the substrate is processed. The comparison unit compares the reference processing condition and the actual processing condition with each other. The correction unit corrects a processing condition for the substrate based on a comparison result in the comparison unit.

A programmable manufacturing advisor includes an information unit that receives measurements for at least one parameter of each operation of a plurality of operations in the manufacturing process, and an analytics unit that determines a baseline performance metric for the manufacturing process based on the measurements of the at least one parameter. The programmable manufacturing advisor also includes an optimization unit that determines a recommended improvement action by determining a predicted performance metric for the manufacturing process based on an adjusted value of the at least one parameter and comparing the predicted performance metric to the baseline performance metric. The optimization unit also automatically presents the recommended improvement action to the operations manager.

A manufacturing management apparatus includes an operation information acquisition unit, a trace information acquisition unit, a storage unit, a manufacturing device determination unit, and a transfer destination indication unit. The storage unit stores inspection information on each article in association with the trace information. The manufacturing device determination unit creates combinations of the manufacturing devices that can perform manufacturing processes in consideration of operation information and trace information, determines a quality index from the inspection information for each of the created combinations, and determines, based on the quality index determined for each of the combinations, a combination of the manufacturing devices to be used. A transfer destination indication unit indicates a transfer destination of a part to a transfer device based on the determined combination of the manufacturing devices.

An optical inspection system of objects destined to be used in a control quality system in a series manufacturing process, which includes an optical coherence tomography device provided with a low coherence source, an objective lens so that a focal plane is defined where the part of the object to be inspected has to be placed, and an imaging device for acquiring images of the object. The imaging device is provided with a camera and includes a beam splitter (22), the beam splitter being arranged between the objective lens and the focal plane and arranged to reflect part of the light coming from the object and direct it toward the camera. The device optical coherence tomography includes a lens system provided with one or more mobile reflectors and intended to allow sweeps with the laser beam on the object.

A computer-implemented method and system for validating a component specification defining at least one component of an industrial automation system, wherein the component specification is arranged in an object-oriented data format, includes obtaining an invariant specification specifying one or more invariants that must be satisfied for the component specification to be deemed fit for use in conjunction with the industrial automation system; and validating the component specification using the invariants specified in the invariant specification.

The invention relates to a method, in particular a computer-implemented method, for generating a virtual geometry (32), a method for generating a digital twin, and a data processing system and computer program. In particular, the invention relates to a method, in particular a computer-implemented method, for generating a virtual geometry of a component (8) which is produced and/or is to be produced with a processing machine (2) and which comprises the steps: Acquisition of machine information (12, 14) which characterizes at least one machine parameter of the processing machine (2) influencing a geometry of the component (8), determination (230, 240, 250) of at least one component factor (30) based on the machine information (12, 14) and the nominal geometry (10), and generation (260) of a first virtual geometry (32) as a digital geometric image of the component (8) produced and/or to be produced based on the component factor (30).