• 제목/요약/키워드: Procedure Quality

검색결과 1,858건 처리시간 0.031초

A case-by-case version of CB statistic in biased estimation

  • Ahn, Byoung Jin
    • 품질경영학회지
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    • 제19권2호
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    • pp.40-51
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    • 1991
  • The $C_B$ statistic, a generalization of Mallows's $C_L$ statistic, is developed to determine the shrinkage parameter. Since not all cases in a data set play an equal role in forming $C_B$, a subdivision of $C_B$ into individual components for each case is developed. This subdivision is useful both as an aid in understanding $C_B$ and as a diagnostic procedure.

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A Study on Influential Subset Detection in Regression

  • Kim, Seung Gu;Yum, Joon Keun
    • 품질경영학회지
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    • 제17권1호
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    • pp.107-115
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    • 1989
  • This study is suggested tn find a methodology of influential subset detecting by using diagonal elements of the hat matrix, $h_{ij}$, and off-diagonal elements of the modified hat matrix, $h_{ij^*}$. And this study shows that elements of two matrix is very useful to detect a masking subset in various situations by analytic and emperical explanations. Also a desirable procedure to detect the significant subset and the calibration points for $h_{ij}$ and $h_{ij^*}$ are recommended.

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차실내 소음 개선을 위한 차음재 및 제진재의 효과적 적용 (Effective application of insulations and deadeners improving the vehicle interior noise)

  • 이정권;김인동;이영섭
    • 오토저널
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    • 제14권4호
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    • pp.68-78
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    • 1992
  • Vibration and vibro-acoustic characteristics of body panels enclosing the vehicle interior cabin are tested and analyzed for effective application of sound proofing materials. A set of deadener and insulation packages are proposed based on the experimentally evaluated and categorized contributions of noise radiating panels. The suggested packages are applied to a prototype vehicle, and a refined acoustic quality is achieved. A systematic experimental procedure proposed in this study can be a good tool in tuning the acoustic quality of prototype vehicles within a limited development period.

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Fuzzy Goal Programming을 이용한 최적 검사 정책 (Optimal Inspection Policy By Fuzzy Goal Programming)

  • 유정상
    • 산업경영시스템학회지
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    • 제18권34호
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    • pp.185-191
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    • 1995
  • In this research, a mathematical programming model is developed for the economic modeling of sampling plans based on two evaluation criteria : the outgoing quality and the average total inspection cost A fuzzy goal programming model and its solution procedure are proposed for the managers whose management objectives on the two evaluation criteria are not rigorous. To study the sensitivity of quality characteristic dependence on the resulting inspection plans, a numerical example is solved several times for a dependent model.

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ISO/DIS 2859-1(1997), 계수조정형 샘플링 검사규격 (ISO/DIS 2859-1(1997), Sampling Plans Indexed by AQL for Lot-by-Lot Inspection)

  • 홍성훈;이상영;최성일
    • 품질경영학회지
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    • 제27권1호
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    • pp.135-150
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    • 1999
  • The second edition of the International Standard ISO/DIS 2859-1(1997) is the revised version of ISO 2859-1(1989). Significant changes in this edition include the following; ⅰ) a new procedure for switching from normal to reduced inspection is used, ⅱ) optional fractional acceptance number sampling plans are added, and ⅲ) reduced plans are changed to eliminate the gap between the acceptance and rejection numbers. In this paper, major changes and additions incorporated into the revised version are discussed.

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A Study on Estimating Mean Lifetime After Modifying Censored Observations

  • Kim, Jinh-eum;Kim, Jee-hoon
    • 품질경영학회지
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    • 제26권1호
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    • pp.161-171
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    • 1998
  • Kim and Kim (1997) developed a method of estimating the mean lifetime based on the augmented data after imputing censored observations. Assuming the linear relationship between lifetime and covariates, and then introducing the procedure of Buckley and James (1979) to estimate the mean lifetimes of censored observations, they proposed a mean lifetime estimator and its consistency under the regularity conditions. In this article, the Kim and Kim's estimator is compared with the estimator introduced by Gill (1983) through simulations under the various configurations. Also, their estimator is illustrated with two real data sets.

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The Confidence Regions for the Logistic Response Surface Model

  • Cho, Tae-Kyoung
    • 품질경영학회지
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    • 제25권2호
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    • pp.102-111
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    • 1997
  • In this paper I discuss a method of constructing the confidence region for the logistic response surface model. The construction involves a, pp.ication of a general fitting procedure because the log odds is linear in its parameters. Estimation of parameters of the logistic response surface model can be accomplished by maximum likelihood, although this requires iterative computational method. Using the asymptotic results, asymptotic covariance of the estimators can be obtained. This can be used in the construction of confidence regions for the parameters and for the logistic response surface model.

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On the Validity of SN Ratio in Parameter Design

  • Kim, Sang-Ik
    • 품질경영학회지
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    • 제21권1호
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    • pp.96-107
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    • 1993
  • In parameter design Taguchi analyzed a statistic which he called signal-to-noise(SN) ratio by using the experimental design technique. However he gave no justification for using SN ratios in the optimization procedure of parameter design. In this paper we discuss the validity of such SN ratios as proper statistics to be analyzed in parameter design. Moreover, using the real empirical data we examine the appropriateness of SN ratios, and we explain how transformation technique can be applied in parameter design as an alternative method of analysis.

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데이터 마이닝 기반의 품질설계지원시스템 (Quality Design Support System based on Data Mining Approach)

  • 지원철
    • 한국경영과학회지
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    • 제28권3호
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    • pp.31-47
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    • 2003
  • Quality design in practice highly depends on human designer's intuition and past experiences due to lack of formal knowledge about the relationship among 10 variables. This paper represents an data mining approach for developing quality design support system that integrates Case Based Reasoning (CBR) and Artificial Neural Networks (ANN) to effectively support all the steps in quality design process. CBR stores design cases in a systematic way and retrieve them quickly and accurately. ANN predicts the resulting quality attributes of design alternatives that are generated from CBR's adaptation process. When the predicted attributes fail to meet the target values, quality design simulation starts to further adapt the alternatives to the customer's new orders. To implement the quality design simulation, this paper suggests (1) the data screening method based on ξ-$\delta$ Ball to obtain the robust ANN models from the large production data bases, (2) the procedure of quality design simulation using ANN and (3) model management system that helps users find the appropriate one from the ANN model base. The integration of CBR and ANN provides quality design engineers the way that produces consistent and reliable design solutions in the remarkably reduced time.

비음용 지하수 오염물질 기준설정체계 구축 연구: (2) 일반오염물질 (Establishment of Non-drinking Groundwater Quality Standards: General Contamination Substances)

  • 안윤주;남선화;정승우
    • 한국지하수토양환경학회지:지하수토양환경
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    • 제19권6호
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    • pp.24-29
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    • 2014
  • To data, there was no systematic basis for establishing the content and allowed levels of general contamination substances in the Korean groundwater quality standards for non-drinking water. Recently, use of specific procedures for deriving valid groundwater quality standards have become mandatory. This study first investigated the methodology for deriving groundwater quality standards in the European Commission (EC), considering background groundwater quality and domestic and international standards related to water quality. Furthermore, this study investigated the existing specified procedure of standards related to water quality (e.g. surface water, drinking water, and wastewater). Our findings showed that EC and Member States presented the methods for deriving groundwater threshold values for general chemicals. Finally, we have proposed the following procedures of deriving Korean groundwater quality: (1) Selection of groundwater pollutant population, (2) selection and monitoring of priority substances, (3) monitoring, (4) selection of groundwater quality standard candidates, (5) selection of new substances and values for groundwater quality standards.