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.

A testing method of a human-computer combination quality testing system includes steps of: after manufacture, importing relevant CAD models, submitting the CAD models to a digital testing part for being examined; if a product is determined to be unqualified, returning the product for retreatment; if the product is determined to be qualified, submitting the product to a manual testing part for being examined by relevant inspectors; if the product is determined to be qualified by the inspectors, leaving the product as a qualified product; if the product is determined to be unqualified by the inspectors, returning the product for retreatment; then changing the relevant rule with a rule corrector of a system improving part according to a misjudging condition of the digital testing part; describing a corrected rule, which is corrected by the developer, by a rule descriptor; then applying the corrected rule to a system by a rule parser.

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.

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.

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.

A system and method for performing corrective processing of a workpiece is described. The system and method includes receiving a first set of parametric data from a first source that diagnostically relates to at least a first portion of a microelectronic workpiece, and receiving a second set of parametric data from a second source different than the first source that diagnostically relates to at least a second portion of the microelectronic workpiece. Thereafter, a corrective process is generated, and a target region of the microelectronic workpiece is processed by applying the corrective process to the target region using a combination of the first set of parametric data and the second set of parametric data.

A method for manufacturing a plurality of components, each of the plurality of components including at least one electrical feedthrough, in which a functional element is fastened in a feedthrough opening in a base body by way of an electrically insulating material, an information being acquired in association with each of the plurality of components, the method comprising the steps of: providing, in one of a plurality of manufacturing steps of the method, each of the plurality of components or one of a plurality of pre-stages of each of the plurality of components with an information store, at least one of (i) the information being stored in the information store, and (ii) an identifier is stored in the information store and the information is stored in a database in association with the identifier.

A method for adjusting at least two parameters of a coating process to manufacture a coated transparent substrate including a multi-layered coating according to a targeted value for at least one quality function for the coated transparent substrate. The method relies on a set of different mathematical prediction models in the training procedure, which, once trained, when they are used either sequentially, alternatively or in parallel, during the prediction procedure, allow to counteract or counterbalance drifts that may potentially occur from one of them. Outstanding benefits are that misbehaviours of current feedback methods may be prevented, that changes in the local atmosphere of deposit cells, and in turn in the chemistry of coated layers, which may occur from temperature and/or humidity variation, may be compensated, and that more than one coating process parameters may be adjusted at the same time.