Tokyo Electron Limited

Satoshi Harada

James E Willis

Edward C Hume, Iii

Hongyu Henry Yue

Naoki Takayama

Hieu A Lam

James Edmund Klekotka

Shinji Sakano

Kevin Andrew Chamness

David Fatke

Bin Wang

A method for predicting a processing result includes a process of performing a principal component analysis on a plurality of detected data obtained during a first standard processing, to construct a principal component analysis model; a process of obtaining residuals of the principal component analysis model as first residuals; a process of performing a second standard processing; and a process of obtaining a plurality of detected data from a plurality of detectors during the second standard processing. And, the detected data obtained during the second standard processing are applied to the principal component analysis model, to obtain second residuals. The method further includes a process of weighting the second residuals based on weighting references, and constructing a new multivariate analysis model with use of the weighted second residuals; and a process of predicting a processing result of the second standard processing with use of the multivariate analysis model.

Method and apparatus for evaluating processing apparatus status and predicting processing result

A method of using an APC system to perform a data pre-population function is described in which the APC system is coupled to a processing element. The APC system comprises an APC computer including operational software, a database coupled to the APC computer, and a GUI, and the processing element comprises at least one of a tool, a processing module, and a sensor. When the APC system operates, the APC system collects data from the processing element and stores the collected data in the database. When an APC malfunction occurs, a data recovery (data pre-population) can be performed. When some of the historical data is missing, a data recovery (data pre-population) can be performed. When an APC system is coupled to a new tool having some historical data, a data recovery (data pre-population) can be performed.

Method for data pre-population

With analysis data in the prior art, it is difficult to find out if a change regarded as a judgmental standard of the completion of seasoning has come from a change due to the seasoning, namely, change in condition of the interior of a processing container or come from another change based on a temperature change among respective dummy wafers and furthermore, it is difficult to judge whether the seasoning has been completed or not. Therefore, a plasma processing method of the present invention, which is a method for detecting the completion of seasoning in performing the seasoning by loading dummy wafers W into a processing containerof a plasma processing apparatusincludes a process of creating a predictive formula for predicting the completion of seasoning and another process of detecting the completion of seasoning in performing the seasoning, based on the predictive formula. The creation of the predictive formula is accomplished by performing a multivariate analysis against a plurality of measured data that can be obtained by first supplying dummy wafers W into the processing containercooling down the interior of the processing containerand supplying a plurality of dummy wafers W into the processing containeragain.

Plasma processing method, detecting method of completion of seasoning, plasma processing apparatus and storage medium

A method of automatically configuring an Advanced Process Control (APC) system for a semiconductor manufacturing environment in which an auto-configuration script is generated for executing an auto-configuration program. The auto-configuration script activates default values for input to the auto-configuration program. The auto-configuration script is executed to generate an enabled parameter file output from the auto-configuration program. The enabled parameter file identifies parameters for statistical process control (SPC) chart generation.

Method for automatic configuration of processing system

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Nirasaki, Japan

Satoshi Harada