• 제목/요약/키워드: process capability analysis

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초고압 가스차단부의 냉가스 유동해석 (An Analysis of Cold Gas Flow-Field for UHV Class Interrupters)

  • 송기동;박경엽;송원표
    • 대한전기학회논문지:전기기기및에너지변환시스템부문B
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    • 제49권6호
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    • pp.387-394
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    • 2000
  • This paper presents a method of cold gas flow-field analysis within puffer type GCB(Gas Circuit Breaker). Using this method, the entire interruption process including opening operation of GCB can be simulated successfully. In particular, the distortion problem of the grid due to the movement of moving parts can be dealt with by the fixed grid technique. The gas parameters such as temperature, pressure, density, velocity through the entire interruption process can be calculated and visualized. It was confirmed that the time variation of pressure which was calculated from the application of the method to a model GCB agreed with the experimental one. Therefore it is possible to evaluate the small current interruption capability analytically and to design the interrupter which has excellent interruption capability using the proposed method. It is expected that the proposed method can reduce the time and cost for development of GCB very much. It also will be possible to develop the hot-gas flow-field analysis program by combining the cold-gas flow field program with the arc model and to evaluate the large current interruption capability.

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지식경영 전략과 정보기술 역량 간의 적합 관계가 제조기업 혁신에 미치는 영향: 혁신의 공개성 (The Effects of the Fit between Forms of KM Strategy and Types of IT Capability on the Innovations of Manufacturing Firm: Innovation Openness)

  • 최종민
    • 한국정보시스템학회지:정보시스템연구
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    • 제28권2호
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    • pp.1-23
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    • 2019
  • Purpose This study exploratory investigated the effects of the fit between forms of knowledge management(KM) strategy and types of information technology(IT) capability on the kinds of innovations such as product and process innovations. In this study, the openness of innovations that affects the innovations of a firm is considered. Design/methodology/approach For this empirical study, 104 manufacturing firms' data were finally collected through field survey. For the analysis of the data, cluster analysis and multiple regression analysis were employed. Findings This study demonstrated that when a system-oriented KM strategy is adopted, IT flexibility, which supports the implementation of a system-oriented strategy, is highly employed and utilized. It was also found that under a dynamic KM strategy, both IT integration and IT flexibility are highly employed. For the innovation of a firm, it was found that when a system-oriented strategy is employed and the flexibility of IT is highly adopted, the levels of product innovation are enhanced. Under a dynamic strategy, when the degrees of IT integration and IT flexibility are high, high levels of product and process innovations were empirically found. The impact of innovation openness on the innovations of a firm were partially demonstrated. Finally, the positive impact of the innovations on the improvement of performance in manufacturing firms were demonstrated.

공정능력지수들과 6 시그마 품질수준에 대한 통계적 추론 (Statistical Inference for Process Capability Indices and 6 Sigma Qualify Levels)

  • 조중재;심규영;박병선
    • Communications for Statistical Applications and Methods
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    • 제15권3호
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    • pp.451-464
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    • 2008
  • 6 시그마는 백만 기회당 3.4개의 결점만을 갖는 최고의 품질수준을 의미한다. 일반적으로 높은 시그마 품질수준은 고객들에게 높은 만족도를 부여하는 것으로 알려져 있다. 공정능력지수들과 시그마 품질수준 $Z_{st}$는 6시그마 산업에서 공정능력을 평가하기 위하여 널리 이용되고 있다 공정능력지수에 관한 대부분의 평가들은 공정능력분석에 대해 경우에 따라 믿기 어려운 상황을 초래할 수도 있는 점 추정에 초점을 두고 있다. 본 논문에서는 현장 실무자들이 공정능력 여부를 결정하기 위하여 사용하고 있는 6시그마 품질수준 $Z_{st}$와 공정능력지수들 $C_p$, $C_{pk}$$C_{pm}$에 대하여 몇 가지 통계적 추정문제를 기초로 보다 효율적인 검정 방법에 대하여 제안, 연구하였다. 제안된 붓스트랩 검정 방법에 근거한 모의실험 결과는 공정분포의 정규성 여부에 관계없이 그리고 복잡한 계산 과정 없이 보다 효율적으로 적용될 수 있음을 입증하고 있다.

The Effect of Project Complexity, Team Members' Structure, and Process Index on Efficiency of System Integration Projects

  • Hong, Han-Kuk;Park, Chul-Jae;Leem, Byung-Hak
    • Journal of information and communication convergence engineering
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    • 제6권3호
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    • pp.323-326
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    • 2008
  • Data Envelopment Analysis (DEA) is a theoretically sound framework for performance analysis that offers many advantages over traditional methods such as performance ratios and regression analysis. Largely the result of multidisciplinary research during the last three decades in economics, engineering and management, DEA is best described as an effective new way of visualizing and analyzing performance data. Besides, overseas information technology companies have aggressively tried to enter the domestic market. In the age of globalization and high competition, it is imperative that the system integration (SI) companies need to introduce the performance evaluation models of SI projects, including Capability Maturity Model and Software Process Improvement and Capability Determination, to gain a competitive advantage. Therefore, it makes our research regarding evaluation of SI projects very opportune. The purpose of the study is not only to evaluate efficiency of each project by DEA but also to gain insight into various factors such as project complexity, team members' man-months structure, and process index(project management index) that link to the projects performance.

BGA형 반도체 패키지의 위치정렬용 영상처리기법 오차의 통계적 분석 방법 (A Statistical Analysis Method for Image Processing Errors in the Position Alignment of BGA-type Semiconductor Packages)

  • 김학만;성상만;강기호
    • 제어로봇시스템학회논문지
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    • 제19권11호
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    • pp.984-990
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    • 2013
  • Pick and placement systems need high speeds and reliability for the position alignment process of semiconductor packages in picking up and placing them on placement trays. Image processing is usually adopted for position aligning where finding out the most suitable method is considered most important aspect of the process. This paper proposes a method for judging the performance of different image processing algorithms based on the PCI (Process Capability Index). The PCI is an index which represents the error distribution acquired from many experimental data. The bigger the index, the more reliable the results or the lower the deviation. Two compared and candidate methods are Hough Transform and PCA (Principal Component Analysis), both of which are very suitable for oblong or rectangular type packages such as BGA's. Comparing the two approaches through a CPI with enough experimental results leads to the conclusion that the PCA is much better than the Hough Transform in not only reliability, but also processing speed.

휴대폰 후면 커버의 공정시간 단축에 따른 치수 편차의 최적화에 관한 연구 (A Study on the Optimization of the Dimensional Deviation due to the Shortening of the Cycle Time for Rear Cover of Mobile Phone)

  • 김주권;김종선;이준한;곽재섭
    • 한국기계가공학회지
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    • 제16권6호
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    • pp.117-124
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    • 2017
  • In this study, we investigated the optimization of process conditions by using the Six Sigma process, design of experiment (DOE) method and response surface method (RSM) to resolve dimensional deviation and appearance problems arising from the shortened process time of the mobile phone rear cover. The analysis of the trivial many was performed by 2-sample T-test and cooling time, and mold temperature and packing pressure were selected as the vital fews affecting the overall width of the product. The optimal conditions of the process were then studied using the DOE and the RSM. We analyzed the improvement effects by applying the selected optimal conditions to the production process and the results showed that the difference between the mean value and target value of the overall width stood at 0.01 mm, an improvement of 88.89% compared to current process that fell within the range of standard dimension. The short-term process capability stood at $4.77{\sigma}$, which implied an excellent technology level despite a decrease by $0.22{\sigma}$ compared to the current process. The difference in process capability decreased by $2.44{\sigma}$ to $0.41{\sigma}$, showing a significant improvement in management capability. Ultimately, the process time of the product was shortened from 18.3 seconds in the current process to 13.65 seconds, resulting in a 34.07% improvement in production yield.

이변량 지수 공정 하에서 위험함수와 공정능력지수에 대한 통계적 추정 (Statistical Estimation for Hazard Function and Process Capability Index under Bivariate Exponential Process)

  • 조중재;강수묵;박병선
    • Communications for Statistical Applications and Methods
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    • 제16권3호
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    • pp.449-461
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    • 2009
  • 최근의 생산 공정은 공정의 자동화, 고객 요구의 다양화 등으로 많은 품질 특성치들을 갖는 다변량 공정의 형태가 일반적이며, 벡터 공정능력지수는 이러한 다변량 공정의 능력을 평가하기 위한 대표적인 측도라 할 수 있다. 한편 공정의 분포에 대한 정보를 정확히 파악하기 어려운 실제 현장의 상황에서 보다 정확한 공정능력을 평가할 수 있는 통계적 추정 문제는 현실적으로 중요한 문제라고 할 수 있다. 본 논문에서는 특정한 이변량 지수 공정 하에서 이변량 벡터 공정능력지수 $C_{pkl}$에 대한 신뢰영역의 추정 문제에 관하여 연구하였다. 먼저 지수분포의 특성을 고려하여 실제 현장에서 널리 사용되고 있는 가장 기본적인 일변량 공정능력지수들 중에서 규격 하한만을 고려한 형태인 $C_{pkl}$에 관하여 이변량 벡터 공정능력지수 $C_{pkl}=(C_{pklx},\;C_{pkly})$로 확장 정의하고, 이 지수의 플러그-인 추정량 및 관련 극한 확률분포를 유도하였다. 또한 이 지수에 대해 Marshall과 Olkin (1967)의 이변량 지수분포 모형을 기초로 근사 신뢰영역을 제시하였으며, 모의실험을 통하여 이변량 벡터 공정능력지수 $C_{pkl}$에 대한 95% 정규 근사(Asymptotic Normality: AN) 신뢰영역에 대한 이용가능성 및 효율성을 비교 분석하였다.

적응 훈련 신경망을 이용한 플라즈마 식각 공정 수율 향상을 위한 공정 분석 및예측 시스템 개발 (Development of Process Analysis and Prediction Systeme to Improve Yield in Plasma Etching Process Using Adaptively Trained Neural Network)

  • 최문규;김훈모
    • 한국정밀공학회지
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    • 제16권11호
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    • pp.98-105
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    • 1999
  • As the IC(Integrated Circuit) has been densified and complicated, it is required to thorough process control to improve yield. Experts, for this purpose, focused on the process analysis automation, which is came from the strict data management in semiconductor manufacturing. In this paper, we presents the process analysis system that can analyze causes, for a output after processes. Also, the plasma etching process that highly affects yield among semiconductor process is modeled to predict a output before the process. To approach this problem, we use adaptively trained neural networks that exhibit superior accuracy over statistical techniques. And in comparison with methods in other paper, a method that history of trend for input data is considered is shown to offer advantage in both learning and prediction capability. This research regards CD(Critical Dimension) that is considerable in high integrated circuit as output variable of the prediction model.

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AHP기법을 활용한 간호사의 NCS직업기초능력 우선순위 분석 (Priorities Analysis of NCS Vocational Key Competence of Nurse using AHP Method)

  • 박지연;이명선
    • 한국학교ㆍ지역보건교육학회지
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    • 제18권3호
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    • pp.83-95
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    • 2017
  • Objectives: The purpose of the research is understand the priorities of national competency standards vocational key competence factors in nurse who is work in Seoul and Incheon. Methods: The design of this study is descriptive investigation research, and the subjects were 144 nurse. we establish the vocational key competency defined in national competency standards as analytic hierarchy analysis model. The vocational key competency has 10 categories and 34 sub-categories. And based on the survey in nurse, the weight representing relative importance of each factor were calculated by using analytic hierarchy process method. Results: The analytic hierarchy process analysis on 10 categories showed that professional ethics(0.149) was higher than any other categories while that of numeracy(0.040) was at the bottom. And the analysis on sub-categories revealed that the most important factors in each categories included the Ethical community(Professional ethics), Conflict management skills(Interpersonal skills), Problem solving capability(Problem-solving skills), Listening skills(Communication skills), Applicable technical skills(Technical skills), Ability to understand business(Ability to understand organizational structures), Information processing capabilities(Information capacity), Self-management skills(Self-development capability), Ability to manage time(Resource management capabilities), Basic math skills(Numeracy). Conclusions: The results in this study can be used as basic data for the development of liberal arts curriculum for Nursing.

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중소기업의 동적역량과 기업가지향성이 빅 데이터 활용의도에 미치는 영향에 관한 실증연구 (A Empirical Study on Effects of Dynamic Capabilities and Entrepreneurial Orientation of SMEs on Big Data Utilization Intention)

  • 한병재;양동우
    • 디지털융복합연구
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    • 제16권11호
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    • pp.237-253
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    • 2018
  • 급변하는 환경 속에서 기업은 동적역량이 중요한 요소로 등장하고 빅 데이터의 활용은 비즈니스의 새로운 핵심가치로 부각되고 있으나 기업이 빅 데이터를 활용함에 있어 성과를 창출할 수 있는 기업의 주요자원 및 역량에 대한 연구는 미미한 실정이다. 본 연구에서는 빅 데이터 활용의도에 영향을 주는 중소기업의 동적역량과 기업가지향성에 대해 분석하였다. 실증분석을 위해 국내 연구개발을 수반하는 중소기업 364개를 대상으로 설문조사를 실시하여 동적역량이 기업가지향성을 경유하여 빅 데이터 활용의도에 미치는 영향에 대해 SPSS Win Ver.22.0와 PROCESS macro v3.0을 이용하여 병렬다중 매개분석을 수행하였다. 가설검증결과 동적역량은 빅 데이터 활용의도에 정의 영향을 미쳤으며, 기업가지향성은 부분적으로 빅 데이터 활용의도에 정의 영향을 미치는 것으로 나타났다. 본 연구를 통해 인공지능과도 연계된 빅 데이터의 활용의 결정요인으로 중소기업의 핵심자원인 동적역량과 기업가지향성에 영향력과 이해도를 높이고 중소기업 경영관리에 도움을 주고자 한다.