A system for rapidly adapting production of a product based on classification of production data using a classifier trained on prior production data is provided. A production control system includes a learning system and an adaptive system. The learning system trains a production classifier to label or classify previously collected production data. The adaptive system receives production data in real time and classifies the production data in real time using the production classifier. If the classification indicates a problem with the manufacturing of the product, the adaptive system controls the manufacturing to rectify the problem by taking some corrective action. The production classifier is trained using bootstrap data and corresponding example data extracted from prior production data. Once the bootstrap data is labeled, the corresponding example data is automatically labeled for use as training data.

To provide a trusted, secure, and immutable record of transactions within a process plant, techniques are described for utilizing a distributed ledger in process control systems. The distributed ledger may be maintained by nodes which receive transactions broadcasted from field devices, controllers, operator workstations, or other devices operating within the process plant. The transactions may include process plant data, such as process parameter data, product parameter data, configuration data, user interaction data, maintenance data, commissioning data, plant network data, and product tracking data. The distributed ledgers may also be utilized to execute smart contracts to allow machines such as field devices to transact by themselves without human intervention. In this manner, recorded process parameter values and product parameter values may be retrieved to verify the quality of products. Moreover, regulatory data may be recorded in response to triggering events so that regulatory agencies can review the data.

In a control method for the movement of a tool with a machine tool, the machine tool involves a numerically controlled machine tool, in order to produce an arbitrary required surface of a workpiece by machining. A numeric path program is created which describes the machining of the workpiece with the tool at machining points and which controls the control device. The numeric path program produces a path with respect to the geometric nature of the surface of the workpiece to be machined, with the path including a plurality of sample points and individual paths, with each individual path connecting a pair of the sample points to each other. The numeric path program is evaluated and selected on the basis of a geometric quality criterion, with the geometric quality criterion having continuity as at least one criterion.

To provide a trusted, secure, and immutable record of transactions within a process plant, techniques are described for utilizing a distributed ledger in process control systems. The distributed ledger may be maintained by nodes which receive transactions broadcasted from field devices, controllers, operator workstations, or other devices operating within the process plant. The transactions may include process plant data, such as process parameter data, product parameter data, configuration data, user interaction data, maintenance data, commissioning data, plant network data, and product tracking data. The distributed ledgers may also be utilized to execute smart contracts to allow machines such as field devices to transact by themselves without human intervention. In this manner, recorded process parameter values and product parameter values may be retrieved to verify the quality of products. Moreover, regulatory data may be recorded in response to triggering events so that regulatory agencies can review the data.

This method includes: a step of imaging, by an imaging apparatus in a substrate treatment system, a reference substrate which is a reference for condition setting and acquiring a captured image of the reference substrate; a step of imaging, by the imaging apparatus, a treated substrate on which the predetermined treatment has been performed under a current treatment condition and acquiring a captured image of the treated substrate; a step of calculating a deviation amount in color information between the captured image of the treated substrate and the captured image of the reference substrate; a step of calculating a correction amount of the treatment condition based on a correlation model acquired in advance and on the deviation amount in the color information; and a step of setting the treatment condition based on the correction amount, wherein steps other than the step of acquiring a captured image of the reference substrate are performed for each of the treatment apparatuses.

A system for controlling a condition of a wafer processing chamber is disclosed. According the principles of the present disclosure, the system includes memory and a first controller. The memory stores a plurality of profiles of respective ones of a plurality of first control elements. The plurality of first control elements are arranged throughout the chamber. The first controller determines non-uniformities in a substrate processing parameter associated with the plurality of first control elements. The substrate processing parameter is different than the condition of the chamber. The first controller adjusts at least one of the plurality of profiles based on the non-uniformities in the substrate processing parameter and a sensitivity of the substrate processing parameter to the condition.

In a workpiece production method a plurality of nominally similar workpieces are produced in a production process on one production machine. The order or time of production of some of the workpieces on the production machine is recorded. Some of the workpieces recorded are measured at two or more inspection stations. Dimensions or points of one workpiece are measured at one of the inspection stations, and corresponding dimensions or points of another of the workpieces are measured at another of the inspection stations. The results of the measurements of corresponding dimensions or points made at the two or more inspection stations are analysed together, taking account of the order or time of production of the workpieces. An output signal is produced based on the analysing of the results together. The output signal indicates performance of the production machine or of one or more of the inspection stations.

To provide a trusted, secure, and immutable record of transactions within a process plant, techniques are described for utilizing a distributed ledger in process control systems. The distributed ledger may be maintained by nodes which receive transactions broadcasted from field devices, controllers, operator workstations, or other devices operating within the process plant. The transactions may include process plant data, such as process parameter data, product parameter data, configuration data, user interaction data, maintenance data, commissioning data, plant network data, and product tracking data. The distributed ledgers may also be utilized to execute smart contracts to allow machines such as field devices to transact by themselves without human intervention. In this manner, recorded process parameter values and product parameter values may be retrieved to verify the quality of products. Moreover, regulatory data may be recorded in response to triggering events so that regulatory agencies can review the data.

An intelligent processing modulation system comprises: a detector detecting the condition of the processing equipment before the process for processing a raw material into a product begins; a data storage recording the information of the product; a basic database storing the information of the detector and the data storage corresponding to the product and the condition of the product for each time the process is completed; a mode database receiving the information of the detector, the data storage and the basic database and setting up the processing model; a processing equipment operating according to the parameters of the processing model received by the processing information manager; a processing information manager modifying the processing model promptly according to the result of the product in order to improve the yield rate of the product.

The invention relates to a method (100) for controlling film production, in which at least one film is produced according to at least one formula information (R), the following steps being carried out: initiation of execution (210) of a film production process such that a film is produced on the basis of a specific formulation information (R); determination of monitoring information (I) during the execution (210) of the process; determination of at least one fingerprint (F) on the basis of the specific formula information (R) and on the basis of the monitoring information (I) such that the execution (210) of the process is characterised on the basis of the fingerprint (F); and comparison of the fingerprint (F) with a control matrix (M) such that at least one comparative result is determined in order to control the film production on the basis of the control matrix (M) as an evaluation basis.