An information processing apparatus includes an acquisition unit configured to acquire process information about a substrate process, the process information including process data and a process condition, and a display control unit configured to control a display on a display apparatus based on the process information acquired by the acquisition unit, wherein the display control unit selectively displays, on the display apparatus, a first screen that displays the process data of a lot including a plurality of substrates on a lot-by-lot basis and a second screen that displays the process data of a first lot on a substrate-by-substrate basis, the first lot being a lot designated by a user from the lot displayed on the first screen.

A wafer manufacturing system includes a wafer manufacturing device provided with a sensor; a host PC that is connected to the wafer manufacturing device via a data communication line; a logic controller that samples and stores an analog output signal of the sensor; and a relay PC that extracts tracking information transmitted on the data communication line for a wafer or a single crystal that is being processed by the wafer manufacturing device and sends the tracking information to the logic controller, and the logic controller stores a digital value of the analog output signal of the sensor in association with the tracking information that is sent from the relay PC.

An advanced process control system including a first process tool, a second process tool, and a measurement tool is provided. The first processing tool is configured to process each of a plurality of wafers by one of a plurality of first masks, and provide a first process timing data. The second processing tool is configured to process the wafer processing by the first process tool by one of a plurality of second masks to provide a plurality of works. The second process tool provides a measurement trigger signal according to the first process timing data. The measuring tool is configured to determine whether to perform a measuring operation on each works in response to the measurement trigger signal, and correspondingly provide a measurement result.

An information processing apparatus includes an acquisition unit configured to acquire a plurality of time-series data indicating changes in output values of a plurality of sensors from a monitoring target including the plurality of sensors, a model generation unit configured to generate one model indicating a relationship between the plurality of time-series data from each of a plurality of periods in the plurality of time-series data, thereby generating a plurality of models respectively corresponding to the plurality of periods, and a detection unit configured to detect an abnormality of the monitoring target based on the plurality of models and the plurality of time-series data. The plurality of periods can include two periods partially overlapping each other.

Examples of a substrate treatment apparatus include a plurality of load ports, a front-end module adjacent to the plurality of load ports, a plurality of load lock chambers adjacent to the front-end module, the plurality of load lock chambers include a plurality of wafer housing slots, a wafer handling chamber adjacent to the plurality of load lock chambers, a first wafer transfer device in the front-end module, a second wafer transfer device in the wafer handling chamber, and a controller including a processor and a memory configured to cause the processor to execute a program stored in the memory, or including a dedicated circuitry, to issue a command to a wafer moving device to move a wafer between the plurality of load lock chambers when predetermined wafer transfer conditions are satisfied.

A method includes identifying at least one of historical data associated with historical substrate lots processed by substrate processing tools in a substrate processing facility or simulated data for simulated substrate lots processed by simulated substrate processing tools. The method further includes generating features from the at least one of the historical data for the historical substrate lots or the simulated data for the simulated substrate lots. The method further includes training a machine learning model with data input comprising the features to generate a trained machine learning model. The trained machine learning model is capable of generating one or more outputs indicative of one or more corrective actions to be performed in the substrate processing facility.

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.

An information processing apparatus includes an acquisition unit configured to acquire process information about a substrate process, the process information including process data and a process condition, and a display control unit configured to control a display on a display apparatus based on the process information acquired by the acquisition unit, wherein the display control unit selectively displays, on the display apparatus, a first screen that displays the process data of a lot including a plurality of substrates on a lot-by-lot basis and a second screen that displays the process data of a first lot on a substrate-by-substrate basis, the first lot being a lot designated by a user from the lot displayed on the first screen.

A wireless substrate-like sensor for teaching transfer coordinates to a robotic substrate handling system is provided. The sensor includes a base portion sized and shaped like a substrate handled by the robotic substrate handling system. An electronics housing is coupled to the base portion. A power module is disposed within the electronics housing and configured to power components of the sensor. At least one edge camera is disposed near an edge of the base portion. The at least one edge camera has a field of view that images an alignment feature of the object within the field of view of the at least one edge camera of the wireless substrate-like sensor. A controller is disposed within the electronics housing and is coupled to the at least one edge camera. The controller is configured to obtain an image from the at least one edge camera and determine a location of the alignment feature and provide the determined location to the robotic substrate handling system.

A semiconductor manufacturing apparatus includes one or more process modules, a scheduler, and a transfer controller. A product wafer of a lot that is transferred from a load port to one of the one or more process modules is replenished such that a total number of wafers that are simultaneously processed in the one or more process modules becomes N. When an advance lot being processed and a post lot to be processed subsequent to the advance lot have a same processing condition, the scheduler creates the transfer plan to replenish with the product wafer of the post lot instead of a dummy wafer such that the transfer controller transfers the product wafer and the dummy wafer to the one or more process modules according to the created transfer plan.