• 제목/요약/키워드: Quality Feature

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품질 특성의 측정에 대한 연구 (Study on establish for unit of measure for Quality Feature)

  • 이상복
    • 한국품질경영학회:학술대회논문집
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    • 한국품질경영학회 2010년도 춘계학술대회
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    • pp.356-363
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    • 2010
  • In this Paper, We study on establish for unit of measure. Quality means abstract for customer needs. we surveyed unit of measurement of quality feature of Juran, Taguchi, 6 sigma method. We suggest unit of measurement of quality feature. Each enterprise can use defining own unit of measurement of quality feature. Effect is expected in enterprise that these proposals do quality control. There is meaning in direction that measuring mean of quality feature that propose in this treatise understands actuality to be deeply and reconcile exact point of theory.

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다구찌의 품질특성 측정에 대한 고찰과 사례 연구 (Study on establish for unit of measure for Quality Feature)

  • 박노국;이상복
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2013년 춘계학술대회
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    • pp.163-172
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    • 2013
  • In this Paper, We study on establish for unit of measure. Quality means abstract for customer needs. we surveyed unit of measurement of quality feature of Juran, Taguchi, 6 sigma method. We suggest unit of measurement of quality feature. Each enterprise can use defining own unit of measurement of quality feature. Effect is expected in enterprise that these proposals do quality control. There is meaning in direction that measuring mean of quality feature that propose in this treatise understands actuality to be deeply and reconcile exact point of theory.

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품질 특성의 측정에 대한 분석 사례 연구 (Study on establish for unit of measure for Quality Feature)

  • 이희춘;박노국;이상복
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2011년도 추계학술대회
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    • pp.157-165
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    • 2011
  • In this Paper, We study on establish for unit of measure. Quality means abstract for customer needs. we surveyed unit of measurement of quality feature of Juran, Taguchi, 6 sigma method. We suggest unit of measurement of quality feature. Each enterprise can use defining own unit of measurement of quality feature. Effect is expected in enterprise that these proposals do quality control. There is meaning in direction that measuring mean of quality feature that propose in this treatise understands actuality to be deeply and reconcile exact point of theory.

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의류점포의 서비스품질, 제품품질과 가격이 점포애고에 미치는 영향 (The Influence of Service Quality, Product Quality, Price on Store Patronage for Apparel Stores)

  • 김지연;이은영
    • 한국의류학회지
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    • 제28권1호
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    • pp.12-21
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    • 2004
  • The purposes of this research were (1) to identify service quality and apparel quality in apparel stores, (2) to examine the influence of service quality, product quality and price on customer satisfaction, (3) to examine the influence of service quality, product quality, price and customer satisfaction on repurchase intention that is important feature of store patronage. The data was collected from 435 female students, career women, and house wives using questionnaire and analyzed by frequency analysis, factor analysis, reliability analysis and regression. The results of this research were as follows: (1) Service quality in apparel stores was divided into six factors: facilities and policy/ salesperson VMD/ after service/ impression and atmosphere/ promotion. (2) Product quality was divided into four factors: objective feature/ expressive feature/ wearing sensation/ fitness. (3) Service quality, product quality, price influenced customer satisfaction. (4) Product quality, price and customer satisfaction influenced repurchase intention directly, but service quality influenced repurchase intention indirectly. (5) Service quality factors that influenced customer to have repurchase intention were facilities and policy, salesperson, and VMD. (6) Product quality factors that influenced customer to have repurchase intention were objective feature and wearing sensation.

구조물의 품질 결함 변별력 증대를 위한 수직 에너지 기반의 웨이블릿 Feature 생성 (Structural Quality Defect Discrimination Enhancement using Vertical Energy-based Wavelet Feature Generation)

  • 김준석;정욱
    • 품질경영학회지
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    • 제36권2호
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    • pp.36-44
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    • 2008
  • In this paper a novel feature extraction and selection is carried out in order to improve the discriminating capability between healthy and damaged structure using vibration signals. Although many feature extraction and selection algorithms have been proposed for vibration signals, most proposed approaches don't consider the discriminating ability of features since they are usually in unsupervised manner. We proposed a novel feature extraction and selection algorithm selecting few wavelet coefficients with higher class discriminating capability for damage detection and class visualization. We applied three class separability measures to evaluate the features, i.e. T test statistics, divergence, and Bhattacharyya distance. Experiments with vibration signals from truss structure demonstrate that class separabilities are significantly enhanced using our proposed algorithm compared to other two algorithms with original time-based features and Fourier-based ones.

An Image Quality Evaluation Model for Optical Strip Signal-to-Noise Ratio in the Target Area of High Temperature Forgings

  • Ma, Hongtao;Zhao, Yuyang;Feng, Yiran;Lee, Eung-Joo;Tao, Xueheng
    • Journal of Multimedia Information System
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    • 제8권2호
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    • pp.93-100
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    • 2021
  • Under the time-varying temperature, the high-temperature radiation of forgings and the change of reflection characteristics of oxide skin on the surface of forgings lead to the difficulty of obtaining images to truly reflect the geometric characteristics of forgings. It is urgent to study the clear and reliable acquisition method of hot forging feature image under time-varying temperature to meet the requirements of visual measurement of hot geometric parameters of forgings. Based on this, this chapter first puts forward the quality evaluation method of forging feature image, which provides guarantee for the accurate evaluation of feature image quality. Furthermore, the factors that affect the image quality, such as the radiation characteristics of forgings and the photographic characteristics of cameras, are analyzed, and the imaging spectrum which can effectively suppress the radiation intensity of forgings is determined. Finally, aiming at the problem that the quality of image acquisition is difficult to guarantee due to the drastic change of radiation intensity of forgings under time-varying temperature, an image acquisition method based on minimum signal-to-noise ratio (SNR) based laser light intensity adaptation is proposed, which significantly improves the definition of feature light strips in forging images at high temperature, and finally realizes the clear acquisition of feature images of large-scale hot forging under time-varying temperature.

SVM 기반 자동 품질검사 시스템에서 상관분석 기반 데이터 선정 연구 (Study on Correlation-based Feature Selection in an Automatic Quality Inspection System using Support Vector Machine (SVM))

  • 송동환;오영광;김남훈
    • 대한산업공학회지
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    • 제42권6호
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    • pp.370-376
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    • 2016
  • Manufacturing data analysis and its applications are getting a huge popularity in various industries. In spite of the fast advancement in the big data analysis technology, however, the manufacturing quality data monitored from the automated inspection system sometimes is not reliable enough due to the complex patterns of product quality. In this study, thus, we aim to define the level of trusty of an automated quality inspection system and improve the reliability of the quality inspection data. By correlation analysis and feature selection, this paper presents a method of improving the inspection accuracy and efficiency in an SVM-based automatic product quality inspection system using thermal image data in an auto part manufacturing case. The proposed method is implemented in the sealer dispensing process of the automobile manufacturing and verified by the analysis of the optimal feature selection from the quality analysis results.

신선식품 유통 사이트에서 제품 정보품질과 정보원천 신뢰성이 제품환기에 미치는 영향 (A Study on the Effect of Information Quality and Source Credibility on Product Arousal in Fresh Food Website)

  • 강인원;정교원
    • 무역학회지
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    • 제46권5호
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    • pp.99-113
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    • 2021
  • This study aims to analyze the effect of product information quality and source credibility on product arousal in fresh food website. Despite fresh food websites are selling products with various feature, prior studies have focused on consumer behavior for fresh food website characteristics or specific products without considering the feature of the products. Consumers' attitudes, beliefs, and behaviors vary depending on the feature of the product. In other words, depending on the category of product, the decision making process that consumers purchase products can be differ. So, we classify products considering the feature of these products to examine the effect of information quality and source credibility on product arousal into experience goods and search goods. We surveyed 288 consumers having experience of purchase in fresh food website and verified the hypothesis through One-way ANOVA by classifying the information quality and the source credibility as high level and low level. As a result, there was a difference in product arousal according to the product information quality level and the source credibility level for each product category exposed to the fresh food website. In experience goods, source credibility have a more important effect on product arousal than product information quality, and in search goods, product information quality have a more important effect on product arousal than source credibility.

벤처기업을 위한 새로운 품질관리 측정단위의 개발 (A New Measurement Unit for Quality control in Venture Business)

  • 이상복;박노국
    • 벤처창업연구
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    • 제6권2호
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    • pp.13-24
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    • 2011
  • 우리는 이 논문에서 측정 단위 설정에 대하여 연구하였다. 품질관리는 고객 요구를 관리하는 것이다. 쥬란과 다구찌가 연구한 품질 형태의 측정 단위를 조사하였다. 그리고 품질 형태의 새로운 측정을 제안하였다. 제안한 새로운 품질 측정은 여러 품질 관리 측정을 조합한 것이다. 이러한 측정은 회사의 관리 수준에서 경영 관리에서 사용될 수 있을 것이다. 우리는 제안된 새로운 측정이 실제 사용되고 도움 되기를 기대한다.

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Multivariate Control Charts for Means and Variances with Variable Sampling Intervals

  • Kim, Jae-Joo;Cho, Gyo-Young;Chang, Duk-Joon
    • 품질경영학회지
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    • 제22권1호
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    • pp.66-81
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    • 1994
  • Several sample statistics to simultaneously monitor both means and variances for multivariate quality characteristics under multivariate normal process are proposed. Performances of multivariate Shewhart schemes and cumulative sum(CUSUM) schemes are evaluated for matched fixed sampling interval(FSI) and variable sampling interval(VSI) feature. Numerical results show that multivariate CUSUM charts are more efficient than Shewhart charts for small or moderate shifts and VSI feature is more efficient than FSI feature.

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