• Title/Summary/Keyword: Statistical quality control

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An Empirical Study on the Forwarder's Satisfaction to Service Quality (해공복합운송 서비스품질이 포워더의 만족에 미치는 영향)

  • Choi, Dong-Oh
    • Journal of Korea Port Economic Association
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    • v.28 no.2
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    • pp.195-211
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    • 2012
  • As the globalisation of corporate's managemental environment, all parts of logistics such as procurement, production and sales are globalized. The ways of transportation in Korea and Japan, where are difficult to use land-transportation, are sea-transportation and air-transportation. Sea & air is a way of the international transportation which is combined by Sea and Air to reduce the transportation fee and shorten the delivery time. The main body of multimodal transportation service is the corporate, actual carrier who undertakes the actual transport. It is essential to establish service quality to maintain their going concern. In other words, the actual carrier has to emphasize the importance of service quality to forwarder tan any other business conditions. In this study, we examine the determinants of service quality for actual carrier in multimodal transportation. Through the multi-regression analysis based on SERVPERF by Cronin and Taylor (1992), we analyze the service quality dimensions of actual carrier. Also we examine the relations between the determinants and customer's satisfaction. Using statistical hypothesis testing, the determinants of service quality are reliability, responsiveness, assurance, tangibles, and we could look into the factors which the actual carrier should control with priority.

The Effects of Different Crude Protein Levels in the Concentrates on Carcass and Meat Quality Characteristics of Hanwoo Steers (농후사료의 조단백질 수준차이가 거세한우의 도체 및 육질특성에 미치는 영향)

  • Kim, Byung Ki;Oh, Dong Yep;Hwang, Eun Gyeong;Song, Young Han;Lee, Sang Oug;Jung, Keun Ki;Ha, Jae Jung
    • Journal of Animal Science and Technology
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    • v.55 no.1
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    • pp.61-66
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    • 2013
  • The purpose of this study was to determine the effects of different crude protein levels in the concentrates on carcass and meat quality of Hanwoo steers. A total of thirty 5.3-month-old castrated Hanwoo calves ($135.6{\pm}10.52$ kg) were randomly allocated into either control or treatment group. The animals were separately housed to 5 heads per group. Crude protein levels in concentrates for growing, fattening, and finishing phases were 14, 13, and 11% for control group and 16, 15, and 14% for treatment group respectively. Comparative analysis of carcass characteristics, physico-chemical characteristics, and fatty acid composition in M. longissimus dorsi of Hanwoo steers were carried out. There was no statistical difference in average cold carcass weight between control (411.9 kg) and treatment (419.9 kg) group. Also, dietary crude protein level in concentrates did not affect M. longissimus dorsi area, backfat thickness, and meat yield index. In contrast, the marbling score in treatment group was higher (p<0.05) than the control group. Also, treatment group showed significantly higher (p<0.05) values than control group for CIE L-value, Mono-unsaturated fatty acids and oleic acid composition. Therefore increasing crude protein levels of concentrates in Hanwoo steers during growing and fattening phases might be beneficial for the improvement of meat quality.

Availability of Statistical Quality Control of Nuclear Medicine Blood Test Using Population Distribution (모집단 분포를 이용한 핵의학 혈액검사의 통계적 품질관리의 유용성)

  • Cheon, Jun Hong;Cho, Eun Bit;Yoo, Seon Hee;Kim, Nyeon Ok
    • The Korean Journal of Nuclear Medicine Technology
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    • v.20 no.1
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    • pp.37-41
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    • 2016
  • Purpose The importance of quality control by the error to a minimum, which for the purpose of enhancing the reliability of the examination is not be emphasized excess. Currently, most nuclear medicine laboratory are conducting the internal and external quality control, and they are applying the Levey-Jennings or Westgard Multi-Rules by using the commercialized quality control materials. The reliability of the nuclear medicine blood test which affects the diagnosis of patients and the treatment policy is being secured through this quality control activity. Therefore, researchers will evaluate the utility of the statistic quality control using the population distribution of the nuclear medicine blood test conducted targeting the checkup examinees by the additional technique of the reliability improvement. Materials and Methods A statistic analysis was performed about 12 items of the nuclear medicine blood test targeting 41,341 peoples who used the health screening and promotion center in Asan Medical Center from January, 2014 to December, 2014. The results of 12 items of the nuclear medicine blood test was divided into the monthly percentage of three groups: within reference values, over reference, and under reference to analyze the average value of the population distribution, standard deviation, and standard deviation index (SDI). Results The standard deviation of the population distribution mostly showed a result within ${\pm}2SD$ in all groups. However, When the standard deviation of the population distribution represented a result over ${\pm}2SD$, it was confirmed SDI was showing a result of SDI > -2 or SDI > 2. As a result of analyzing the population distribution of 12 items(AFP, CEA, CA19-9, CA125, PSA, TSH, FT4, Anti-Tg-Ab, Anti-TPO-Ab, Calcitonin, 25-OH-VitD3, Insulin) of the nuclear medicine blood part basic test, when SDI of the monthly percentage which deviated from the reference values was over ${\pm}2.0$, CA19-9 September was 2.2, Anti-Tg-Ab may was 2.2, Insulin January was 2.3, Insulin March was 2.4. It was confirmed these cases were attributed to the abnormality of the test reagent (maximum combination rate of isotope reagent declined) and the decline of the test response time. Conclusion The population distribution includes the entire attribute which becomes the study object. It is expected the statistic quality management using the population distribution which was conducted targeting the checkup examinees by dividing into three groups: within reference values, over reference, and under reference by means of this characteristics will be able to play a role of complementing the internal quality control program which is being carried out in the laboratory.

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Water Quality Characteristics of the Major Tributaries in Yeongsan and Sumjin River Basin using Statistical Analysis (통계분석을 이용한 영산강·섬진강수계 주요 유입지천의 수질 특성)

  • Park, Jinhwan;Jung, Jaewoon;Kim, Daeyoung;Kim, Kapsoon;Han, Sungwook;Kim, Hyunook;Lim, Byungjin
    • Journal of Environmental Impact Assessment
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    • v.22 no.2
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    • pp.171-181
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    • 2013
  • In this study, we report the water quality characteristics of pollutants for 4 major tributaries in the Yeongsan and Sumjin river basins using statistical analysis, such as regression equation and factor analysis. The flow rate and water qualtiy data collected from 4 sampling sites(Hwangryoung A, Jiseok A, Chooryeong A, Osu A) in the Yeonsan and Sumjin river basin during the past 3 years were analyzed for 11 parameters(flow rate, dissolved oxgen, pH, water temperature, electric conductivity, biochemical oxygen demand, chemical oxygen deman, total organic carbon, total nitorgen, total phosphorus, suspended solid). The results showed that the concentrations of BOD, COD, TOC, T-N, T-P in Hwangryoung A(HW) and Jiseok A(JS) of the Yeongsan river basin were decreased as the flow rate was increased. This means that rather than nonpoint soources, point sources affect water quality. In the cases of Chooryeong A(CR) and Osu A(OS) in the Sumjin river basin, howerever, nonpoint sources than point sources are an important factor that affects the water quality. Also, the factor analysis technique was employed to analyze principal component influencing on water quality. The results revealed that the first principal component in HW was correlated with EC, DO, T-N, water temperature. This "nitrogen influx according to seasonal pattern" factor may be interpreted. In JS, the first principal component was correlated with BOD, COD, TOC and is likely to represent "organic matter" processes. In CR and OS, BOD, COD, TOC, SS and T-P were significantly correlated and is considered as representing "Organic matter and adsorption of phosphorus on sediments influx". This study is expected to contribute to the effective pollution control/management of the surfac waters in the study sites.

Development of the Expert Seasonal Prediction System: an Application for the Seasonal Outlook in Korea

  • Kim, WonMoo;Yeo, Sae-Rim;Kim, Yoojin
    • Asia-Pacific Journal of Atmospheric Sciences
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    • v.54 no.4
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    • pp.563-573
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    • 2018
  • An Expert Seasonal Prediction System for operational Seasonal Outlook (ESPreSSO) is developed based on the APEC Climate Center (APCC) Multi-Model Ensemble (MME) dynamical prediction and expert-guided statistical downscaling techniques. Dynamical models have improved to provide meaningful seasonal prediction, and their prediction skills are further improved by various ensemble and downscaling techniques. However, experienced scientists and forecasters make subjective correction for the operational seasonal outlook due to limited prediction skills and biases of dynamical models. Here, a hybrid seasonal prediction system that grafts experts' knowledge and understanding onto dynamical MME prediction is developed to guide operational seasonal outlook in Korea. The basis dynamical prediction is based on the APCC MME, which are statistically mapped onto the station-based observations by experienced experts. Their subjective selection undergoes objective screening and quality control to generate final seasonal outlook products after physical ensemble averaging. The prediction system is constructed based on 23-year training period of 1983-2005, and its performance and stability are assessed for the independent 11-year prediction period of 2006-2016. The results show that the ESPreSSO has reliable and stable prediction skill suitable for operational use.

Airborne Fine Particle Measurement Data Analysis and Statistical Significance Analysis (공기중 미세입자 측정 데이터 분석 및 통계 유의차 분석)

  • Sung Jun An;Moon Suk Hwan
    • Journal of the Semiconductor & Display Technology
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    • v.22 no.1
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    • pp.1-5
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    • 2023
  • Most of the production process is performed in a cleanroom in the case of facilities that produce semiconductor chips or display panels. Therefore, environmental management of cleanrooms is very important for product yield and quality control. Among them, airborne particles are a representative management item enough to be the standard for the actual cleanroom rating, and it is a part of the Fab or Facility monitoring system, and the sequential particle monitoring system is mainly used. However, this method has a problem in that measurement efficiency decreases as the length of the sampling tube increases. In addition, a statistically significant test of deterioration in efficiency has rarely been performed. Therefore, in this study, the statistically significant test between the number of particles measured by InSitu and the number of particles measured for each sampling tube ends(Remote). Through this, the efficiency degradation problem of the sequential particle monitoring system was confirmed by a statistical method.

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Efficacy of Supplemental Microbial Phytase on Laying Performance and Phosphorus Utilization II. Effect of Microbial Phytase at Different Phosphorus Levels and High Calcium Content on Laying Performance and Phosphorus Utilization (산란생산성과 인 이용성에 대한 Microbial Phytase의 첨가 효과 II. 무기태인 수주닝 다르고 칼슘수준이 높은 사료에 Microbial Phytase 첨가가 산란성 및 인 이용성에 미치는 영향)

  • 김상호;유동조;이상진;강보석;서옥석;최철환;이원준;류경선
    • Korean Journal of Poultry Science
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    • v.27 no.1
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    • pp.25-30
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    • 2000
  • Present study was conducted to investigate effects of microbial phytase in laying hen diets on utilization of non-phytate phosphorus(NPP) whose levels were adjusted to be adequate or lower than that of NRC requirements. Birds of control roup were fed a diet containing 0.275% NPP and 3.4% Ca, satisfying the NRC(1994) feeding standard. bird on T1, T2 and T3 were allowed to eat diets containing NPP at 100, 80 and 60%, respectively, of Control group, and 4.0% Ca level along with a microbial phytase added at a level of 300 DPU. Three hundred and sixty, ISA Brown layers, 23-week-old, divided into four treatment groups with three replications per treatment and 30 layers per replication were fed the diets for 12 weeks. Levels of feed intake were not different among the groups, The egg mass/feed intake ratio appeared better in T2 group by about 8%, though without a statistical significance, compared to that of control. Egg production fate tended to be improved over the control group by feeding the 100%(T1) and 80%(T2) NPP diets added with phytase, with a significant difference for T2(p<0.05). Mean egg weight and egg shell quality, measured by breaking strength and thickness of the egg shell, of the T2 group tended to show numerically better, without a significance than those of control. Furthermore, birds of the T2 group showed higher calcium and phosphorus contents in tibia by about 9%(p<0.05) than the control. Overall performances of birds in T1 appeared better than those of control, but tended to be lower than those of the T2. The birds in T3 performed similar to the those of the other dietary groups except the relatively low tibia calcium level. In conclusion, the results of this study suggest that supplementation of microbial phytase at a level of 300 DPU was effective to spare about 20% of NPP in laying hen diets without any adverse effects on production performances and bone quality.

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Measurement of Quality of Life related to Health by demographic characteristics of adult patients with cancer using EQ-5D Index -Focused on the Korea Health & Nutrition Examination Survey- (EQ-5D Index 이용 성인 암 환자의 인구사회학적 특성별 건강관련 삶의 질 측정 -국민건강영양조사를 중심으로-)

  • Kim, Jong-Geu;Kwon, Lee-Seung
    • Journal of Digital Convergence
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    • v.11 no.8
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    • pp.281-291
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    • 2013
  • This study is the secondary statistical analysis calculating the quality of life of patients with cancer by giving the integrative weight based on National Health and Nutrition Examination Survey data of the Centers for Disease Control for five years from 2007 to 2011 for the first time in Korea. The results of measurement showed that the number of cancer patients was 201, which accounted for about 0.8 % of 26,260 subjects. The quality of life of cancer patients was higher when they had lower age(p<0.0001), more professional occupations(p<0.0001), and higher educational history(p=0.0002). When they lived in apartment(p<0.0001), got unmarried(p<0.0001), the quality of life was higher. In particular, the measurement of quality of life of cancer patients based on type of health insurance was the result of new study for the first time in Korea.

Quality Prediction of Eggs Treated in Combination with Gamma Irradiation and Chitosan Coating Using Response Surface Methodology

  • Lee, Kyung-Heang;Jung, Samooel;Ham, Jun-Sang;Lee, Jun-Heon;Lee, Soo-Kee;Jo, Cheo-Run
    • Journal of Animal Science and Technology
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    • v.53 no.3
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    • pp.253-259
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    • 2011
  • The aim of this work was to determine the method and predict the optimum conditions for egg quality stored for 7 days when combination treatments of irradiation and chitosan coating were applied using response surface methodology (RSM). A central composite design was chosen for the RSM in this study and the factors were irradiation dose (0~2 kGy) and concentration of chitosan coating material (0~2%). Performance of the irradiation and chitosan coating were evaluated by analyzing the egg quality and functional property factors. The predicted maximum level of Haugh units and foaming ability calculated by a developed model were 74.19 at 0 kGy of irradiation with coating by 0.96% chitosan solution and 50.83 mm at 2.0 kGy with 1.01%, respectively. The predicted minimum value of foam stability and 2-thiobarbituric acid reactive substances (TBARS) value were 2.97 mm at 0.39 kGy with 0.21% and 0.54 mg malonaldehyde/kg egg yolk at 0 kGy with 0.90% of chitosan solution, respectively. Results clearly showed that gamma irradiation negatively affected the Haugh unit and TBARS but positively affected the foaming capacity. The estimated value from the developed model by RSM was verified by no statistical difference with observed value. Therefore, RSM can be a good tool for optimization and prediction of egg quality when 2 or more treatments are combined. However, one should decide the target quality first to achieve a successful implementation of this technology.

Air pollution study using factor analysis and univariate Box-Jenkins modeling for the northwest of Tehran

  • Asadollahfardi, Gholamreza;Zamanian, Mehran;Mirmohammadi, Mohsen;Asadi, Mohsen;Tameh, Fatemeh Izadi
    • Advances in environmental research
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    • v.4 no.4
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    • pp.233-246
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    • 2015
  • High amounts of air pollution in crowded urban areas are always considered as one of the major environmental challenges especially in developing countries. Despite the errors in air pollution prediction, the forecasting of future data helps air quality management make decisions promptly and properly. We studied the air quality of the Aqdasiyeh location in Tehran using factor analysis and the Box-Jenkins time series methods. The Air Quality Control Company (AQCC) of the Municipality of Tehran monitors seven daily air quality parameters, including carbon monoxide (CO), Nitrogen Monoxide (NO), Nitrogen dioxide ($NO_2$), $NO_x$, ozone ($O_3$), particulate matter ($PM_{10}$) and sulfur dioxide ($SO_2$). We applied the AQCC data for our study. According to the results of the factor analysis, the air quality parameters were divided into two factors. The first factor included CO, $NO_2$, NO, $NO_x$, and $O_3$, and the second was $SO_2$ and $PM_{10}$. Subsequently, the Box- Jenkins time series was applied to the two mentioned factors. The results of the statistical testing and comparison of the factor data with the predicted data indicated Auto Regressive Integrated Moving Average (0, 0, 1) was appropriate for the first factor, and ARIMA (1, 0, 1) was proper for the second one. The coefficient of determination between the factor data and the predicted data for both models were 0.98 and 0.983 which may indicate the accuracy of the models. The application of these methods could be beneficial for the reduction of developing numbers of mathematical modeling.