The present application discloses a method of handling a transaction request, including: performing an information exchange between a manufacturing execution system and a machine control system by an agent module; the information exchange including: sending a first transaction request by the machine control system to the agent module, and then sending the first transaction request by the agent module to the manufacturing execution system.

A system includes an interface and a controller. The interface is configured to receive a state a substrate processing tool comprising a plurality of process modules configured to process a substrate. The controller is configured to correlate the state with an input previously received by the substrate processing tool from the interface based on the state and to generate an output to control the substrate processing tool based on the correlation.

There are provided a system, computer software product and method of generating a training set for a classifier using a processor. The method comprises: receiving a training set comprising training defects each having assigned attribute values, the training defects externally classified into classes comprising first and second major classes and a minor class; training a classifier upon the training set; receiving results of automatic classification of the training defects; automatically identifying a first defect that was externally classified into the first major class and automatically classified into the second major class; automatically identifying by the processor a second defect from the multiplicity of training defects that was externally classified into the minor class and automatically classified to the first or second major classes; and correcting the training set to include the first defect into the second major class, or to include the second defect into the first or the second major class.

There is provided a substrate processing system, including: a plurality of substrate processing apparatuses; a first control part installed in each of the plurality of substrate processing apparatuses and configured to transmit a first apparatus data from each of the plurality of substrate processing apparatuses; a second control part configured to receive the first apparatus data from each of the plurality of substrate processing apparatuses, generate a priority data of each of the plurality of substrate processing apparatuses based on the first apparatus data, and transmit the priority data to the first control part; and a display part configured to display the priority data thereon.

A semiconductor process transport apparatus including a drive section with at least one motor, an articulated arm coupled to the drive section for driving articulation motion, a machine controller coupled to the drive section to control the at least one motor moving the articulated arm from one location to a different location, and an adapter pendant having a machine controller interface coupling the adapter pendant for input/output with the machine controller, the adapter pendant having another interface, configured for connecting a fungible smart mobile device having predetermined resident user operable device functionality characteristics, wherein the other interface has a connectivity configuration so mating of the fungible smart mobile device with the other interface automatically enables configuration of at least one of the resident user operable device functionality characteristics to define an input/output to the machine controller effecting input commands and output signals for motion control of the articulated arm.

In one embodiment, a production management apparatus includes a flow obtaining module configured to obtain a plurality of processing flows to process a wafer from a flow storage module. The apparatus further includes a route creating module configured to select a plurality of steps from the plurality of processing flows, and configured to create a processing route to execute the plurality of steps selected from the plurality of processing flows. The apparatus further includes a flow creating module configured to select a plurality of steps from the processing route, and configured to create a new processing flow including the plurality of steps selected from the processing route.

A semiconductor manufacturing apparatus including: a first device; one or more sensors; a first calculation circuit that calculates one or more feature quantities of the first device from the detected physical quantities; and a failure prediction circuit that compares the one or more feature quantities with a plurality of pieces of model data of a temporal change in one or more feature quantities until the first device fails, decides a piece of model data with the minimum difference from the calculated one or more feature quantities among the plurality of pieces of model data, calculates predicted failure time from a difference between a failure point in time and a point in time at which a difference from the calculated one or more feature quantities is the minimum in the piece of model data.

The present disclosure relates to a wafer processing apparatus and a wafer transfer method. The wafer processing apparatus includes: a first machine; a second machine, including a manipulator, the manipulator transfers a wafer to the machine through a connection port; the connection port is provided between the first machine and the second machine; door panels, provided on the first machine and used to close the connection port; a detector, for detecting a current position of the door panel; a driver, connected to the door panel, for driving the door panel to move to open or close the connection port; and a controller, connected to the detector, the driver and the manipulator, for controlling the door panel to move according to the current position of the door panel to open or close the connection port, and control the manipulator to transfer the wafer.

A system and methods for Advance Process Control (APC) in semiconductor manufacturing include: for each of a plurality of waiter sites, receiving a pre-process set of scatterometric training data, measured before implementation of a processing step, receiving a corresponding post-process set of scatterometric training data measured after implementation of the process step, and receiving a set of process control knob training data indicative of process control knob settings applied during implementation of the process step; and generating a machine learning model correlating variations in the pre-process sets of scatterometric training data and the corresponding process control knob training data with the corresponding post-process sets of scatterometric training data, to train the machine learning model to recommend changes to process control knob settings to compensate for variations in the pre-process scatterometric data.

The present disclosure provides a method and an apparatus for setting wafer script, a device, and a storage medium. In response to the demand unit determining that the execution necessary condition of the script to be executed satisfies the business requirement based on the parameter information, the platform unit acquires the lot identification of the script to be executed and the corresponding production information. In response to the demand unit determining that the script to be executed is executed for the wafers corresponding to the script to be executed for the first time, the platform unit detects whether the first production information corresponding to the first wafers satisfies the execution necessary condition. If satisfied, the platform unit sets parameter information and assignment information for the first wafers, and synchronizes the first wafers with the set information to the material execution unit such that the material execution unit performs corresponding operation.