Abstract:
본 발명은 반도체 제조공정 제어방법에 관한 것으로, 본 발명에서는 설비 콘트롤러에 소정 제품에 대한 제품 선별 기준을 미리 설정하고, 이를 통해, 전체 제품들 중 일부의 제품에서만 당해 공정이 진행되도록 함으로써, 제품 전반에 걸친 공정진행에 따른 공정 효율 저하를 미연에 방지할 수 있다.
Abstract:
PURPOSE: A system and a method for yielding process time of CMP(Chemical Mechanical Polishing) process are provided to calculate time consumed in process progress through computation by the system without calculating the process time by an operator. CONSTITUTION: A CMP process equipment(20) performs a polishing process of a wafer, receives condition data of process to be progressed and transmits present process progress state on occasion during wafer process and process completion report data after completion of the process. A front measuring equipment(10) and a rear measuring equipment(40) each arranged in front of and behind the CMP process equipment(20) measure on wafer after the process and before the process and transmit measured data respectively. A control server(30) has connection to the front measuring equipment(10) and the rear measuring equipment(40) via a network unilaterally, receives the measured data from the measuring equipments(10,40), has connection to the CMP process equipment(20) via a network bilaterally, transmits the condition data and receives data related to the process progress from the CMP process equipment(20) to set process progress condition and time of the CMP process equipment(20).
Abstract:
자동결함분류방법은적어도하나이상의단위공정이수행된기판으로부터결함부들을검출하는결함검출단계및 결함부들각각의결함종류를분류하는결함분류단계를포함하고, 결함분류단계는결함부들각각의 SEM 이미지들을획득하는이미지획득단계와, SEM 이미지들각각에대응되는 GDS 이미지들에기판의정보를등록하는기판정보등록단계와, 결함부들의결함을유형화한복수의 DOI 들을정의하는 DOI 정의단계와, 결함부들각각의결함이 DOI 들중 어떤 DOI에해당하는지를판단하는기준인 DOI 룰을정의하는 DOI 룰정의단계와, DOI 룰에따라결함부들각각의결함이 DOI 들중 어떤 DOI에해당하는지를분류하는이미지분석단계를포함한다.
Abstract:
본 발명은 포토 레지스트 공급 시스템 및 그 제어방법에 관한 것으로서, 더욱 상세하게는 반도체 제조라인내의 포토 레지스트 공급장치에서 포토 레지스트를 수용하는 보틀을 교환할때 발생되는 에러를 방지하기 위한 포토 레지스트 공급 시스템 및 그 제어방법에 관한 것이다. 본 발명에 의하면, 새 보틀로의 교환이후에 새 보틀의 바코드를 읽지 않는 바코드 리드 에러가 발생하면 보틀의 교환을 감지한 보틀 감지 센서에 의해 에러경보가 발생되고, 사용된 보틀이 새 보틀로 오인되어 로딩되면 호스트에 예약된 바코드와의 비교에 의해 에러가 발생된다. 또한, 2개의 보틀을 수용하는 보틀 캐비넷에 설치된 보틀 감지 센서에 의해 교환될 보틀이 정확하게 교환되는지를 감지하여 보틀이 오투입되는 것을 방지한다. 포토 레지스트 공급 시스템
Abstract:
PURPOSE: A method for dispatching a lot which variably adopts optimum subsequent processing equipment and/or subsequent process condition according to a result of a prior process is provided to dispatch respective lots processed in a preceding process with a subsequent process equipment optimum for improving the quality of the lot based upon a process result of the preceding process regarding the lots, capability of a plurality of subsequent process equipment and/or a systematic analysis result of relativity between characteristics. CONSTITUTION: Measured data of an inspection item regarding the respective second lots processed by the first process equipment before the first lot is accumulated in a computer system(100c). And, measured data of an inspection item regarding the respective second lots processed by one of a plurality of the second process equipment is consecutively accumulated in the computer system. The first process equipment generates a variation with reference to a target value of the inspection item regarding the first lot based upon the accumulated measurement data. The second process equipment compensates for the variation toward the target value of the inspection item. Process capability of the respective second process equipment is estimated. A dispatching priority regarding the plurality of second process equipment of the first lot is determined according to the process capability. The first lot is dispatched by one of the plurality of the second process equipment based upon the dispatching priority.
Abstract:
The method involves searching previous processing data having a history identical to that of the subject loaded into the processing device. A current bias correction value is predicted from several of the most recent previous correction values out of the searched previous processing data having the identical history. A current random correction value is predicted by a neural network on the basis of several most recent random correction values. The predicted current bias and random correction values are summed as a current correction value of the processing device. The neural network is made to learn for tracking a variation of the random correction value by using the error value. An independent claim is included for a method of controlling a photolithographic device.
Abstract:
PURPOSE: A method for controlling in process apparatus is provided to remarkably decrease the number of sampling processes by using an adaptive least mean square neural network(ALMS-NN) algorithm which is effectively applied in a process highly depending upon the sampling process without depending upon history data. CONSTITUTION: Previous process data having the same history as a process target material loaded into the process apparatus is searched. A present bias correction value is presumed from a plurality of recent correction values among the previous process data having the same history. A present land correction value is presumed by a neural network based upon a plurality of previous land correction values among the previous process data. The bias correction value and the land correction value are added together by using the present correction value of the process apparatus. The neural network learns to tract a change of the land correction value by using an error value between an input value of the process apparatus and a measurement value of the process apparatus.
Abstract:
PURPOSE: A method for selecting an optimal lot for performing etching process is provided to make critical dimensions of a circuit uniform to increase overall yield of manufacturing step. CONSTITUTION: The method for selecting the optimal lot for performing etching process includes following steps. At first, a plurality of AIDICD data are transmitted through a network of lots on which a photo operation is performed and are stored with lot ID, photo apparatus ID, and photo step ID temporarily(S10). Then, a plurality of ACICD data are transmitted through the network and are stored with lot ID on which an etching operation is performed by a host server, etching apparatus ID, etching step ID temporarily(S20). At third, the first and second data are combined to calculate skew values(S30). Then, etching variation is calculated by the skew value from the skew values stored at the third step(S50). At fifth, a plurality of etcher values are calculated from the skew values(S60). At sixth, a plurality of etcher values, a plurality of AIDICD and ACICD target values are applied to a predetermined equation to find optimal lot(S80). At last, the lot is inserted to the etcher.