• Title/Summary/Keyword: Quality analysis

Search Result 24,671, Processing Time 0.047 seconds

Dynamic Analysis and Experimental Verification of Brake Judder considering Quality (품질을 고려한 브레이크 저더의 동역학 해석 및 시험 검증)

  • 김효식;임홍재
    • Proceedings of the Korean Society for Noise and Vibration Engineering Conference
    • /
    • 2003.11a
    • /
    • pp.365-370
    • /
    • 2003
  • The problem of brake judder is typically caused by quality defects in manufacturing. This quality problem, however, can't be controlled deterministically and requires analyses and designs considering uncertainties. This paper presents a method for dynamic analysis of a brake judder considering uncertainties. Firstly, quality defects, which come from the uncertainties, are determined by examination of symptoms of the brake judder quality problem. Effective quality defects are selected by investigation of process capability and comparison of sensitivity of each quality defects and noise levels of the effective quality defects are determined. Secondly, flexible multibody dynamic analysis and finite element analysis according to the proposed method are carried out. Finally, The analysis results are compared with the test results with noise levels of the effective quality defects.

  • PDF

Quality Factor and Quality Improvement Attributes on Knitted Apparel (니트 의류제품의 품질요인과 품질개선속성에 관한 연구)

  • Park, Jae-Ok;Ahn, Min-Young
    • The Research Journal of the Costume Culture
    • /
    • v.19 no.1
    • /
    • pp.163-175
    • /
    • 2011
  • The purposes of this study are to identify quality factors of knitwears, to find out important attributes of knitwears quality, and to find attributes of knitwears quality which improvement are required. College students in the Seoul district participated in the study, a convenience sampling method was used. A questionnaires was arranged with three separates subject sections, importance degree of knitwears quality, satisfaction degree of purchased knitwears, and demographic factors. Data from 280 questionnaires were used for the statistical analysis. For data analysis, factor analysis, paired-samples t-test and multiple response frequency were conducted. The results were as follows. Knitwears quality factors were classified into six subdivisions by factor analysis; physical functions, yarn and fabric properties, fit, symbol, aesthetic, and usefulness. Quality attributes in purchasing knitwears were considered importantly in order of design, textures, color, price, size, and shape stability, etc. Among quality attributes on knitwears, there were significant differences in importance degree and satisfaction degree; important degree was higher than satisfaction degree to six factors on knitwears quality. Especially, in graph according to gap analysis, physical function and symbol were included in IV area, attributes that attention, required of quality improvement. In contrast, yarn and fabric properties, fit, aesthetic, and usefulness were included in I area, strengths, maintained presently quality levels.

Analysis of Image Quality Based on Perceptual Vision

  • Xue, Liqin;Hua, Yuning;Qi, Yaping
    • 한국정보디스플레이학회:학술대회논문집
    • /
    • 2007.08b
    • /
    • pp.1494-1496
    • /
    • 2007
  • This paper deals with image quality analysis considering the impact of psychological factors involved in assessment. The attributes of image quality requirement were partitioned according to the visual perception characteristics and the preference of image quality were obtained by the factor analysis method. The features of image quality which support the subjective preference were identified, The adequacy of image is evidenced to be the top requirement issues to the display image quality improvement.

  • PDF

The Effects of Job Quality on the Health of Wage Workers: Congruence between the Hard and Soft Job Quality

  • KonShik Kim
    • Safety and Health at Work
    • /
    • v.14 no.1
    • /
    • pp.31-42
    • /
    • 2023
  • Background: This study analyzes the linear and non-linear effects of the hard and soft dimensions of job quality on the overall health of wage workers. It also examines the congruence or fit between the hard and soft job quality on the overall health of wage workers. Methods: This study measured thirty indicators that constitute job quality and reduced the indicators into twelve sub-dimensions of job quality using reflective factor analysis. In addition, this study derived two dimensions of job quality from the twelve subdimensions, namely the hard and soft job quality using formative factor analysis. This paper applied the response surface analysis to analyze the congruence effect between the two dimensions of job quality. Results: A logarithmic relationship was found between the dimension of hard job quality and the worker's overall health. This study also verified that the congruence effect between the two dimensions of job quality does not exist, and the combined effect of job quality is lower when the two dimensions of job quality are at the same level than the effect when either level of job quality is high or low. Conclusions: Although hard and soft job quality has independent positive effects on the overall health of wage workers, the two dimensions of job quality are not congruent or not in harmony with each other. This incongruence between hard and soft job quality, together with a higher impact of hard job quality, suggests that the role of soft job quality on overall health is relatively limited.

Variation Reducation in Quality Using a Sensitivity Analysis (민감도분석을 이용한 품질의 편차 감소에 관한 연구)

  • 장현수;이병기
    • Journal of Korean Society for Quality Management
    • /
    • v.25 no.2
    • /
    • pp.140-153
    • /
    • 1997
  • As product quality is maily determined in the product design and process design step, systematic design should be performed through parameter design and tolerance design. Therefore, we introduced analysis of variance and regression analysis as a statistical method which determine optimal levels of affective design factors to product characteristics, then we compared that process and result. In analysis of variance, variation of quality characteristics arises from noise factors, so the optimal levels of design factors are selected to minimize the effect of noise factors. In regression analysis, variation of quality characteristics aries from variation of each own design factors. As a method to reduce variation of these quality characteristics, sensitivity analysis was performed about each design factors. Through this sensitivity analysis, we represented process to calculate the interaction term of the factors.

  • PDF

The Effects of Stress and Depression on the Quality of Life in Single Elderly Households (고령자 1인 가구의 스트레스와 우울증이 삶의 질에 미치는 영향)

  • Kim, Seok-hwan;Kim, Eun-yeob
    • The Journal of Korean Society for School & Community Health Education
    • /
    • v.19 no.2
    • /
    • pp.43-52
    • /
    • 2018
  • Objects: In this study, we analyzed the correlation between stress and depression related to the quality of life of one elderly household, and analyzed the influence of stress and depression on the quality of life. In this study, I tried to make a plan for improving the quality of life for one elderly. Methods: In this study, the frequency and percentage according to the general characteristics of one elderly household were frequency analyzed. And the mean and standard deviation of stress, depression, quality of life were analyzed on average. And continuous analysis of stress, depression, quality of life, etc., conducted a technical analysis. Relationship to stress, depression, quality of life, correlation analysis was done. The effect of stress and depression on the quality of life was linear regression analysis. SPSS Version 23.0 was used for analysis. Result: Increased stress and increased depression in elderly single households was a static (+) correlation. And the results of the regression analysis showed that the higher the stress and depression of one elderly household, the lower the quality of life. Conclusion: For the improvement of the quality of life of one elderly household, the government should support stress and depression prevention programs according to sex, age, number of chronic diseases.

Design of Intelligent Material Quality Control System based on Pattern Analysis using Artificial Neural Network (인공 신경망의 패턴분석에 근거한 지능적 부품품질 관리시스템의 설계)

  • 이장희;유성진;박상찬
    • Journal of Korean Society for Quality Management
    • /
    • v.29 no.4
    • /
    • pp.38-53
    • /
    • 2001
  • In resolving industrial quality control problems, a vector of multiple quality characteristic variables is involved rather than a single variable. However, it is not guaranteed that a multivariate control chart based on statistical methods can monitor abnormal signal in case that small changes of relationship between each variables causes abnormal production process. Hence a quality control system for real-time monitoring of the multi-dimensional quality characteristic vector under a multivariate normal process is needed to enhance tile production system quality performance. A pattern analysis approach based on self-organizing map (SOM), an unsupervised learning technique of neural network, is applied to the design of such a quality control system. In this study we present a new material quality control system based on pattern analysis approach and illustrate the effectiveness of proposed system using actual electronic company material data.

  • PDF

An Factor Analysis of Groundwater in Chongju City (청주시 지하수의 인자분석)

  • 남기창
    • Journal of environmental and Sanitary engineering
    • /
    • v.18 no.4
    • /
    • pp.6-14
    • /
    • 2003
  • A spring water quality was depend on the aquifer soil status. However, water quality was rapidly contaminated by artificial affects. In the contaminate components, the heavy metals were significantly important because the heavy metals influence the plants and the animals. But, it is difficult to find out how the heavy metal can affect in the water quality. According to the group analysis and the factor analysis, water quality management was advanced. The experimental area was divided into three region and six factor. The six factor could not define the overall water quality, however this method were one of the useful methods.

The Consumers' Evaluative Criteria of Quality on the Clothing Products (의류제품에 대한 소비자의 품질평가기준)

  • 김민수;김문숙
    • The Research Journal of the Costume Culture
    • /
    • v.11 no.1
    • /
    • pp.47-65
    • /
    • 2003
  • The purpose of this study was to examine the characteristics of consumer evaluative criteria based on clothing quality perception of adult males and females. A demonstrative study was conducted using a questionnaire on adults over 20 years old who were considered to afford to purchase clothes. A total of 650 questionnaires were distributed, and among them, 380 were used for the demonstrative analysis. The study used SPSSWIN V.8.0 for the analysis. Factor analysis and reliability analysis were introduced as analysis methods using the varimax rotation to classify consumer evaluative criteria for clothing purchasing. In addition, frequency analysis, correlation analysis, 1-test, multiple regression analysis, and duncan test are executed. The study result is as follows. First. expectation, importance and performance are examined by customer quality perception. Four factors- practicability, care, aesthetics, and symbolism- are classified through the factor analysis of 19 evaluative attributes based on importance. Second, differences of quality perception f3r expectation, importance and performance were found partly in customers' demographic characteristics. Third, the influential relation of satisfaction and quality perception is examined. Aesthetics and practicability have significant influence on the general satisfaction of evaluative attributes by performance.

  • PDF

Evaluation of Water Quality Characteristics in the Nakdong River using Multivariate Analysis (다변량 통계분석을 이용한 낙동강 상수원수의 수질변화 특성 조사)

  • Kim, Gyungah;Kim, Yejin;Song, Mijeong;Ji, Keewon;Yu, Pyungjong;Kim, Changwon
    • Journal of Korean Society on Water Environment
    • /
    • v.23 no.6
    • /
    • pp.814-821
    • /
    • 2007
  • This study was estimated water quality to raw water quality management of the Maeri intake station in the Nakdong River using Multivariate Analysis. The results of Principle Component Analysis was explained up to 76.9% of total water quality by three principle components. The 1st, 2nd was explained 44.7%, 17.9% and third was explained 14.3%. Also, the three factors was derived from Factor Analysis. The 1st factor was estimated as the matabolism and organic matter pattern related to algal growth. The 2nd factor was judged as the pollution of pattern related to the discharge from stream of the Nakdong River and 3rd factor was viewed as the hydrological variation pattern related to particle matter. The results of Cluster Analysis were classified into three groups.