A method for performing quality control on a diagnostic analyzer includes receiving control measurement values from each of a plurality of diagnostic analyzers. A quality control measurement value is received from a target diagnostic analyzer. The quality control measurement value is compared with statistical criteria associated with the plurality of quality control measurement values received from the plurality of diagnostic analyzers. A comparison result is communicated to a user interface associated with the target diagnostic analyzer.

A substrate processing condition setting method includes acquiring, causing, and setting. In the acquiring, a plurality of estimation processing results are acquired by inputting a plurality of processing conditions to a trained model that is subjected to machine training based on a training processing condition and a processing result obtained by processing a substrate under the training processing condition. In the causing, a display section is caused to display an image based on the estimation processing results. In the setting, one processing condition corresponding to one estimation processing result of the estimation processing results is set, as an actual processing condition in substrate processing, based on the image displayed on the display section.

A quality review management system may be used to analyze the operation of manufacturing processes within a plant based on data collected by various data sources in the plant, such as batch executive applications, to automatically detect, store, and display exceptions within those processes for use by a quality review engineer to determine if the process operation meets certain quality standards. The quality review management system includes a configuration application that enables a user to create one or more exception rules, an exception engine that analyses process data using the rules to detect one or more exceptions within the process, and a review application that enables quality review personnel to review each determined exception for resolution purposes.

The invention relates to a system (1) for controlling a production plant (3) consisting of a plurality of plant parts (2), in particular a metallurgical production plant for producing industrial goods such as metal semi-finished products and/or metal end products, wherein each plant part (2) has an input quality window (4), an output quality window (5) and a process window (6), wherein the input quality window (4) of a plant part (2) defines the quality characteristics of the input product that are required by the plant part (2) and the output quality window (5) of a plant part (2) defines the quality characteristics of the output product that are allowed by the plant part (2) after processing the input product, wherein, in a production plant (3) consisting of the plurality of plant parts (2), the output quality window (5) of an upstream plant part (2) corresponds to the input quality window (4) of the downstream plant part (2), wherein the process window (6) defines the setting values (7) that can be implemented by the respective plant part (2) for a plant automation unit of the plant part (2), wherein each plant part (2) detects the current state by means of sensors (8) and adapts the process window (6) of the plant part (2) to the detected current state, and wherein the system (1) for controlling the production plant (3) consisting of the plurality of plant parts (2) determines setting values (7) for the respective plant automation unit for each plant part (2), the setting values being within the process windows (6) and that the product produced in the production plant (3) meets the quality characteristics required by the input quality windows (4) and output quality windows (5) of the plurality of plant parts (2).

The invention further relates to a corresponding method and computer program.

A system and method for collecting real time manufacturing data from a factory having multiple machines therein using internet-of-things (IoT) connectivity, comprising: at least one gateway comprising at least one server, the at least one gateway receiving data from the multiple machines; at least one machine communications module (MCM) that applies to the received data at least factory, enterprise, and analytics applications, and which outputs command and control information from the applications to the at least one gateway to directly control operations of the multiple machines; wherein the gateway provides security isolation on the machine side of the gateway, and encryption, authentication, and authorization security on the MCM side of the gateway; and wherein the applications process and normalize data from at least a plurality of types and generations of the multiple machines.

Provided is a manufacturing management system making it possible to respond flexibly in accordance with a production status. This manufacturing management system comprises: a stationary device that is installed inside a work space; a mobile device able to move within the work space; and a server for extracting at least operational state data of the stationary device and the mobile device, and monitoring a production status on the basis of the operational state data. The server derives a deviation between the production status and a predetermined production plan as a production deviation, and corrects the operational state of the stationary device and/or the mobile device so as to reduce the production deviation.

Various embodiments enable batch inspection of a plurality of workpieces by and inspection instrument such as a coordinate measuring machine. Some embodiments present user interfaces, including graphical user interfaces, to enable an operator to configure a batch inspection system and a batch inspection job, and to monitor and control execution of a batch inspection job.

A system for controlling a quality of a vehicle includes: a communication device that communicates with a plurality of terminals respectively located on vehicle product lines; and a controller that monitors the part assembly state of the worker, and displays an official assembly video of a defectively assembled part through a terminal on a product line where the worker is located when detecting the defective assembly of the worker.

The present disclosure describes a method, apparatus, and computer readable medium for providing predictive and preventive analysis relating to fitness of elements in an assembly line, prior to final product assembling. According to the present disclosure, when the elements in assembly lines pass the testing performed by the element testing units, the test data of the elements is processed by the system to predict whether the elements when assembled, results in a fit product. When the final product is predicted to be unfit, the system detects non-reliable element(s) and provide explanation/feedback for the failure of the final product.

The subject of this invention is a method for testing the data and control interface of individual machines intended for interconnection in an inline system for solar cell production. Furthermore, an Interface-Tester suitable for executing the testing method is disclosed. The method for testing comprises the steps of feeding a dummy workpiece to the tested machine and connecting the interface tester to the standard interface of the machine. Consecutively the interface tester sends controlling signals to the machine and receives the signals from the tested machine. The received signals are compared to reference signals and evaluated. The interface tester comprises a standard interface for coupling the machines in an inline system for solar cell production. Furthermore, the interface tester is equipped with at least one CPU, a volatile and/or non-volatile memory, communication modules, couplers and connectors and at least one human-machine interface.