Abstract:
본 발명의 실시 예에 따른 제조 공정에서의 불량 설비 탐지 방법은: 제품의 공정 경로 데이터 및 공정 결과 데이터를 획득하는 단계; 상기 획득된 데이터들에 기초하여 상기 제품의 불량에 대한 복수의 설비들 각각의 기여도를 산출하는 단계; 상기 산출된 기여도에 기초하여 선택된 설비들에 대하여, 상기 제품의 불량에 기여하는 설비 및 경로의 누적 효과를 규칙으로 생성하는, 수정된 연관 규칙을 적용하는 단계; 그리고 상기 산출된 기여도 및 상기 수정된 연관 규칙에 기초하여 불량설비 판단 지수를 산출하는 단계를 포함할 수 있다. 본 발명의 실시 예에 따르면, 제조 공정에서의 제품 불량을 야기하는 혐의 설비를 효율적으로 탐지할 수 있다. 또한, 제조 공정의 수율을 증가시키는 최적의 경로를 탐색할 수 있다.
Abstract:
본 발명은 신뢰성을 증대 또는 극대화할 수 있는 반도체 제조설비 관리 시스템 및 그의 통계적 공정 관리방법을 개시한다. 그의 시스템은, 다양한 반도체 단위 공정이 수행되는 복수개의 단위 공정장치; 상기 복수개의 단위 공정장치에서 각 단위 공정이 완료된 웨이퍼의 패턴 특성을 계측하는 복수개의 계측 장치; 및 상기 복수개의 계측 장치에서 계측되는 상기 웨이퍼의 패턴 특성에 대응되는 복수개의 공정 변수에 의해 산출되는 티제곱(T 2 ) 통계량을 이용하여 상기 단위 공정의 이상 여부를 감지하는 호스트 컴퓨터를 포함함에 의해 스킵 룰이 적용되는 계측 공정을 비롯한 모든 단위 공정의 모니터링을 실현시킬 수 있기 때문에 신뢰성을 향상시킬 수 있다. 통계량, Q 통계량, 스킵(skip), 호스트(host), 컴퓨터
Abstract:
The processing method of the semiconductor manufacturing facilities is provided to perform the process management irrespective of the size of the sample by improving the existing multivariate SPC. The first step(S100) is for managing the specification of the managed parameter about process samples extracted from the predetermined processing unit to the reference viewpoint. The second step(S200) is for determining the abnormality about extracted process samples after the reference viewpoint and then determining the cause and resetting the reference.
Abstract:
A method for maintaining a statistical process used for a semiconductor manufacture equipment control system are provided to increase the reliability of a process management and maximize it by update a management limit time through QB statistical volume in real time. In a method for maintaining a statistical process used for a semiconductor manufacture equipment control system, measurement data corresponded to the property of a wafer from more than one measurement apparatus are collected(S10). The general statistics amount corresponding to a mean value and a distribution value of measurement data is calculated(S20). The distribution in a group is corresponded to the measurement data detected from a plurality of wafers. Measurement data are detected from a target wafer based on the several cassettes in which a plurality of wafers is mounted.
Abstract:
A system for managing semiconductor fabricating equipments to increase or maximize reliability, and a statistical process management method thereof are provided to increase or maximize the reliability by managing process of all lots even if a part of variables are not measured. A plurality of unit process devices(10) perform various kinds of semiconductor unit processes. A plurality of measurers(20) measure pattern property of a wafer finishing each unit process in each process device. A host computer(30) detects abnormality of the unit process by using T-square statistics, which is calculated by a plurality of process parameters corresponding to the measured pattern property of the wager.
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:
A method for a statistical equivalence test includes the steps of: collecting and preprocessing process data; testing statistical equivalence by considering a statistical tolerance for the collected process data; and finally determining the equivalence by referring to the common technology determination database of process engineers after the statistical equivalence test. Wherein, the common technology determination database of the process engineers is made up of equivalence determination reference values which are objectified by the statistical process of measured technology determination results after measuring the technology determination results of the process engineers to equivalence/difference/improvement levels.
Abstract:
PURPOSE: A measurement method and a measurement system using the same are provided to improve effectiveness of a process by calculating optimized measurement rate by considering product quality and productivity elements. CONSTITUTION: A processing device(100) processes a lot using various methods according to a plurality of process conditions. The process condition includes options for satisfying regulations according to a semiconductor agreement or a customer request. A measurement device(130) is comprised in order to perform a measurement process with respect to the processed lot. The measurement device measures a particle, a defect, a thickness, or a critical dimension of a wafer. The lot processed by the processing device is established as a measured member.