• Title/Summary/Keyword: Statistical Design of Experiment (DOE)

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Review of Confirmatoty Data Analysis and Exploratory Data Analysis in Statistical Quality Control, Design of Experiment and Reliability Engineering (SQC, DOE 및 RE에서 확증적 데이터 분석(CDA)과 탐색적 데이터 분석(EDA)의 고찰)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2010.04a
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    • pp.253-258
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    • 2010
  • The paper reviews the methodologies of confirmatory data analysis(CDA) and exploratory data analysis(EDA) in statistical quality control(SQC), design of experiment(DOE) and reliability engineering(RE). The study discusses the properties of flexibility, openness, resistance and reexpression for EDA.

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Characterization of Photoresist Processing by Statistical Design of Experiment (DOE)

  • Kim, Gwang-Beom;Park, Jae-Hyun;Soh, Dae-Wha;Hong, Sang-Jeen
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2005.11a
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    • pp.43-44
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    • 2005
  • SU-8 is a epoxy based photoresist designed for MEMS applications, where a thick, chemically and thermally stable image is desired. But SU-8 has proven to be very sensitive to variation in processing variables and hence difficult to use in the fabrication of useful structures. In this paper, negative SU-8 photoresist processed has been characterized in terms of delamination. Based on a full factorial designed experiment. Employing the design of experiment (DOE), a process parameter is established, and analyzing of full factional design is generated to investigate degree of delamination associated with three process parameters: post exposure bake (PEB) temperature, PEB time, and exposure energy. These results identify acceptable ranges of the three process variables to avoid delamination of SU-8 film, which in turn might lead to potential defects in MEMS device fabrication.

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Characterization of Negative Photoresist Processing by Statistical Design of Experiment (DOE)

  • Mun Sei-Young;Kim Gwang-Beom;Soh Dea-Wha;Hong Sang Jeen
    • Journal of information and communication convergence engineering
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    • v.3 no.4
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    • pp.191-194
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    • 2005
  • SU-8 is a epoxy based photoresist designed for MEMS applications, where a thick, chemically and thermally stable image are desired. However SU-8 has proven to be very sensitive to variation in processing variables and hence difficult to use in the fabrication of useful structures. In this paper, negative SU-8 photoresist processed has been characterized in terms of delamination, based on a full factorial designed experiment. Employing the design of experiment (DOE), a process parameter is established, and analyzing of full factorial design is generated to investigate degree of delamination associated with three process parameters: post exposure bake (PEB) temperature, PEB time, and exposure energy. These results identify acceptable ranges of the three process variables to avoid delamination of SU-8 film, which in turn might lead to potential defects in MEMS device fabrication.

Application of Statistical Design of Experiments in the Field of Chemical Engineering: A Bibliographical Review (화학공학 분야에서 통계적 실험계획법 적용에 대한 서지 검토)

  • Yoo, Kye Sang
    • Applied Chemistry for Engineering
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    • v.31 no.2
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    • pp.138-146
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    • 2020
  • Design of experiments (DOE) is a method that has been applied in the industry to improve value for many decades. This study provides an overview of 115 cases of statistical DOE applications in the field of chemical engineering. All cases were published in important scientific journals for the last ten years. The applied design type, the experiment size, the number of factors and levels affecting the response variable, and the area of application for the design were all analyzed. Obviously, the number of publications related with statistical DOE increased over time.

A Study on DOE Method to Optimize the Process Parameters for Cu CMP (구리 CMP 공정변수 최적화를 위한 실험계획법(DOE) 연구)

  • Choi, Min-Ho;Kim, Nam-Hoon;Kim, Sang-Yong;Chang, Eui-Goo
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.18 no.1
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    • pp.24-29
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    • 2005
  • Chemical mechanical polishing (CMP) has been widely accepted for the global planarization of multi-layer structures in semiconductor manufacturing. Copper has been the candidate metallization material for ultra-large scale integrated circuits (ULSIs), owing to its excellent electro-migration resistance and low electrical resistance. However, it still has various problems in copper CMP process. Thus, it is important to understand the effect of the process variables such as turntable speed, head speed, down force and back pressure are very important parameters that must be carefully formulated in order to achieve desired the removal rates and non-uniformity. Using a design of experiment (DOE) approach, this study was performed investigating the main effect of the variables and the interaction between the various parameters during CMP. A better understanding of the interaction behavior between the various parameters and the effect on removal rate, non-uniformity and ETC (edge to center) is achieved by using the statistical analysis techniques. In the experimental tests, the optimum parameters which were derived from the statistical analysis could be found for higher removal rate and lower non-uniformity through the above DOE results.

Optimization of Cu CMP Process Parameter using DOE Method (DOE 방법을 이용한 Cu CMP 공정 변수의 최적화)

  • Choi, Min-Ho;Kim, Nam-Hoon;Kim, Sang-Yong;Chang, Eui-Goo
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 2004.11a
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    • pp.711-714
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    • 2004
  • Chemical mechanical polishing (CMP) has been widely accepted for the global planarization of multi-layer structures in semiconductor manufacturing. However, it still has various problems to the CMP equipment, in particular, among the CMP components, process variables are very important parameters in determining the removal rate and non-uniformity. Using a design of experiment (DOE) approach, this study was performed investigating the interaction between the various parameters such as turntable and head speed, down force and back pressure during CMP. Using statistical analysis techniques, a better understanding of the interaction behavior between the various parameters and the effect on removal rate, no-uniformity and ETC (edge to center) is achieved.

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Optimization Study of Trace Analysis of Potential Diesel Oxygenate Using the Design Of Experiment (DOE) in Solid-Phase Microextraction with GC/FID (고체상미량분석법(SPME-GC/FID)에서 실험계획법을 이용한 디젤첨가제 미량분석의 최적화 연구)

  • Park, Jae-Sang;Chang, Soon-Woong
    • Journal of Soil and Groundwater Environment
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    • v.12 no.5
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    • pp.73-85
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    • 2007
  • In this study, the experiment of solid-phase microextraction (SPME) technique using GC/FID was conducted as a possible alternative to liquid-liquid extraction for the analysis of EGBE, DGBE, DBM and TGME in water, and also, an optimization condition of trace analysis for disel oxygenates including EGBE by the design of experiment (DOE) was described. Experiments used a fractional factorial design method followed by central composite design allowing optimization of a number of factors as well as statistical analysis of the results. The response surface analysis showed that the extraction efficiency could be represented by a second-order polynomial equation in which the salts concentration, extraction temperature, extraction time and sonication time are the major influences. Using DOE method, a new datadependent method was developed to improve the quantity of confidently analyzed disel oxygenates in water samples.

Characterization of Cesium Assisted Sputtering Process Using Design of Experiment (실험계획법을 이용한 세슘보조 스퍼터링 공정의 특성분석)

  • Min, Chul-Hong;Park, Sung-Jin;Yoon, Neung-Goo;Kim, Tae-Seon
    • Journal of the Korean institute of surface engineering
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    • v.40 no.4
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    • pp.165-169
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    • 2007
  • Compared to conventional Indium Tin Oxide (ITO) film deposition methods, cesium (Cs) assisted sputtering offers higher film characteristics in terms of electrical, mechanical and optical properties. However, it showed highly non-linear characteristics between process input factors and equipment responses. Therefore, to maximize film quality, optimization of manufacturing process is essential and process characterization is the first step for process optimization. For this, we designed 2 level design of experiment (DOE) to analyze ITO film characteristics including film thickness, resistivity and transmittance. DC power, pressure, carrier flow, Cs temperature and substrate temperature were selected for process input variables. Through statistical effect analysis methods, relation between three types of ITO film characteristics and five kinds of process inputs are successfully characterized and eventually, it can be used to optimize Cs assisted sputtering processes for various types of film deposition.

Application and Understanding of Regression Analysis in the Quality Improvement Activities (식스시그마 품질개선 단계에서 GLM 회귀분석의 이해와 적용)

  • Choi, Sung-Woon
    • Proceedings of the Safety Management and Science Conference
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    • 2010.11a
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    • pp.539-550
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    • 2010
  • The study presents the application strategy and understanding of regression analysis with GLM(Generalized Linear Model) unifying with other statistical techniques such as correlation analysis and design of experiment(DOE). The quidelines proposed in this paper can be used for practioners to implement GLM and ANOVA(Analysis of Variance) for the DMAIC 5 steps of six sigma breakthrough.

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