• Title/Summary/Keyword: Risk priority number

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A Study on Product Liability Response System of Chemical Products by Using Failure Mode and Effect Analysis (FMEA기법을 이용한 화학제품의 PL 대응체계 연구)

  • Ko J. W.;Yoo J. H.;Kim D. H
    • Journal of the Korean Institute of Gas
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    • v.7 no.4 s.21
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    • pp.30-35
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    • 2003
  • Product liability(PL) law imposes the liability on manufacturer or wholesaler when the product defects cause harm to consumers of the products or any other parties in their lives, bodies, or properties. In Korea, the law of product liability was enforced in July 2002. In this study the Product Liability Response System of chemical products was developed by using Failure Mode and Effect Analysis(FMEA). For a case study peformed for N,N-Dimethylethylamine. First, product information was gathered through Material Safety Data Sheet(MSDS)and which considered as an instruction manual of chemical product. And an effect caused by product defects is analyzed by FMEA to get Risk Priority Number(RPN) which is calculated by multiplying of severity, occurrence, and detection of the defects. Then hazard was estimated quantitatively by RPN.

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Performance Comparison of Machine Learning Models for Grid-Based Flood Risk Mapping - Focusing on the Case of Typhoon Chaba in 2016 - (격자 기반 침수위험지도 작성을 위한 기계학습 모델별 성능 비교 연구 - 2016 태풍 차바 사례를 중심으로 -)

  • Jihye Han;Changjae Kwak;Kuyoon Kim;Miran Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.5_2
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    • pp.771-783
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    • 2023
  • This study aims to compare the performance of each machine learning model for preparing a grid-based disaster risk map related to flooding in Jung-gu, Ulsan, for Typhoon Chaba which occurred in 2016. Dynamic data such as rainfall and river height, and static data such as building, population, and land cover data were used to conduct a risk analysis of flooding disasters. The data were constructed as 10 m-sized grid data based on the national point number, and a sample dataset was constructed using the risk value calculated for each grid as a dependent variable and the value of five influencing factors as an independent variable. The total number of sample datasets is 15,910, and the training, verification, and test datasets are randomly extracted at a 6:2:2 ratio to build a machine-learning model. Machine learning used random forest (RF), support vector machine (SVM), and k-nearest neighbor (KNN) techniques, and prediction accuracy by the model was found to be excellent in the order of SVM (91.05%), RF (83.08%), and KNN (76.52%). As a result of deriving the priority of influencing factors through the RF model, it was confirmed that rainfall and river water levels greatly influenced the risk.

A Study on the Criticality Analysis using Correlation Coefficient in Reliability Centered Maintenance (RCM에서 상관관계 계수를 이용한 치명도 분석에 관한 연구)

  • Yun, Duksu;Chung, Kwangwoo
    • Journal of Applied Reliability
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    • v.17 no.1
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    • pp.11-21
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    • 2017
  • Purpose: The occurrence ranks of failure modes can come from the real failure but the severity ranks of failure modes require a highly subjective point of view of users. The severity ranks have to find more objective and scientific values. Methods: We found the optimal values by using the correlation analysis between failure mode effects and the criticality number like RPN (Risk Priority Number) in RCM. Result: This paper shows the result that verified whether the weighted values on each failure effect in criticality number calculation is suitable to the actual failures or not. To get the verification, it used the 5 year data and correlation analysis. Based on the analyzed result, We proposed the more suitable values. Conclusion: This correlation analysis approach can provide guidance of RCM analysis across many industries and situations.

Estimation of the Number of Salmonellosis Using Microbial Risk Assessment Methodology (미생물 위해성 평가 방법을 이용한 살모넬라 발생수 추정)

  • 최은영;박경진
    • The Korean Journal of Community Living Science
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    • v.15 no.2
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    • pp.167-177
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    • 2004
  • The number of foodborne salmonellosis was estimated by using microbial risk assessment(MRA) methodology and the possibility of application was studied through comparison with previous results. The contamination levels of Salmonella sp. were estimated by using published domestic studies(1997∼2000) and monitoring data (1999∼2001) from food-safety related institutes. Data on food consumption came from the 2001 National Health and Nutrition Survey, and dose-response models from studies in other countries. Simulation results showed that there were 753,368 cases of salmonellosis in Korea in 1 year, which is about 115 times that reported in previous years and lower than the WHO's estimation increase. From these results, microbial risk assessment is likely to be available for estimation of the number of foodborne illnesses and determination of the order of priority in food-safety management. Butthe verification methods are not established and most of the data on contamination levels of foodborne bacteria, food consumption, and dose-response relationships have not been established. In addition, the actual conditions of circulation, storage and cooking must be studied further.

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Tuberculosis Infection Control in Health-Care Facilities: Environmental Control and Personal Protection

  • Lee, Ji Yeon
    • Tuberculosis and Respiratory Diseases
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    • v.79 no.4
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    • pp.234-240
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    • 2016
  • Transmission of tuberculosis (TB) is a recognized risk to patients and healthcare workers in healthcare settings. The literature review suggests that implementation of combination control measures reduces the risk of TB transmission. Guidelines suggest a three-level hierarchy of controls including administrative, environmental, and respiratory protection. Among environmental controls, installation of ventilation systems is a priority because ventilation reduces the number of infectious particles in the air. Natural ventilation is cost-effective but depends on climatic conditions. Supplemented intervention such as air-cleaning methods including high efficiency particulate air filtration and ultraviolet germicidal irradiation should be considered in areas where adequate ventilation is difficult to achieve. Personal protective equipment including particulate respirators provides additional benefit when administrative and environmental controls cannot assure protection.

Consistency of the rapid assessment method for reinforced concrete buildings

  • Isik, Ercan
    • Earthquakes and Structures
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    • v.11 no.5
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    • pp.873-885
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    • 2016
  • Determination of earthquake-safety of existing buildings requires a rather long and challenging process both in terms of time and expertise. In order to prevent such a tedious process, rather rapid methods for evaluating buildings were developed. The purpose of these rapid methods is to determine the buildings that have priority in terms of risk and accordingly to minimize the number of buildings to be inspected. In these rapid evaluation methods detailed information and inspection are not required. Among these methods the Canadian Seismic scanning method and the first stage evaluation method included in the principles concerning the determination of risk-bearing buildings promulgated by the Ministry of Environment and Urbanization in Turkey are used in the present study. Within the scope of this study, six reinforced concrete buildings damaged in Van earthquakes in Turkey are selected. The performance scores of these buildings are calculated separately with the mentioned two methods, and then compared. The purpose of the study is to provide information on these two methods and to set forth the relation they have between them in order to manifest the international validity.

Failure Modes and Effects Analysis by using the Entropy Method and Fuzzy ELECTRE III (엔트로피법과 Fuzzy ELECTRE III를 이용한 고장모드영향분석)

  • Ryu, Si Wook
    • Journal of the Korea Safety Management & Science
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    • v.16 no.4
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    • pp.229-236
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    • 2014
  • Failure modes and effects analysis (FMEA) is a widely used engineering tool in the fields of the design of a product or a process to improve its quality or performance by prioritizing potential failure modes in terms of three risk factors-severity, occurrence, and detection. In a classical FMEA, the risk priority number is obtained by multiplying the three values in 10 score scales which are evaluated for the three risk factors. However, the drawbacks of the classical FMEA have been mentioned by many previous researchers. As a way to overcome these difficulties, this paper suggests the ELECTRE III that is a representative technique among outranking models. Furthermore, fuzzy linguistic variables are included to deal with ambiguous and imperfect evaluation process. In addition, when the importances for the three risk factors are obtained, the entropy method is applied. The numerical example which was previously studied by Kutlu and Ekmekio$\breve{g}$lu(2012), who suggested the fuzzy TOPSIS method along with fuzzy AHP, is also adopted so as to be compared with the results of their research. Finally, after comparing the results of this study with that of Kutlu and Ekmekio$\breve{g}$lu(2012), further possible researches are mentioned.

Genotype Distribution and Behavioral Risk Factor Analysis of Human Papillomavirus Infection in Uyghur Women

  • Sui, Shuang;Jiao, Zhen;Niyazi, Mayinuer;Sulaiya, Sulaiya;Lu, Ping;Qiao, You-Lin
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.10
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    • pp.5861-5865
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    • 2013
  • We investigated the distribution of HPV genotypes in Uyghur women in Xinjiang region of China, and behavioral factors which could predispose them to HPV infection. In this cross-sectional study, women aged 15-59 years were recruited by cluster sampling method in Yutian region in 2009. Liquid-based cytology samples were analyzed centrally for HPV genotype with a linear array detector. Univariate and multivariate logistic regression analyses were performed to identify behavioral risk factors for HPV infection. A total of 883 Uyghur women were recruited successfully. The prevalence of high-risk HPV and low-risk HPV were 7.25% and 1.58%, respectively; the most common HPVs were HPV16, 51, 31, 39 and 58. We found that age of first sexual intercourse was a strong predictor for HPV infection (odds ratio of 4.01 for ${\leq}15$ years versus ${\geq}25$). Having sexual partners ${\geq}3$ was the second predictor (OR 3.69, 95% CI 2.24-7.16). Cleaning the vagina after sex showed an increased risk of HPV infection (OR 2.72; 95% CI 1.98-5.13); Using the condom showed protective factors for HPV infection (OR 0.36; 95%CI0.12-0.53). HPV16, 51, 31, 39 and 58 were the priority types; the age of first sexual intercourse was identified as a major risk factor for HPV infection. Other notable risks were number of sexual partners and cleaning the vagina after sex. Changing these behavioral risk factors could help to reduce the occurrence of cervical cancer in this population.

Colorectal Cancer and its Association with the Metabolic Syndrome: a Malaysian Multi-Centric Case-Control Study

  • Ulaganathan, V.;Kandiah, M.;Zalilah, M.S.;Faizal, J.A.;Fijeraid, H.;Normayah, K.;Gooi, B.H.;Othman, R.
    • Asian Pacific Journal of Cancer Prevention
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    • v.13 no.8
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    • pp.3873-3877
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    • 2012
  • Objective: Colorectal cancer (CRC) and the metabolic syndrome (MetS) are both on the rise in Malaysia. A multi-centric case-control study was conducted from December 2009 to January 2011 to determine any relationship between the two. Methods: Patients with confirmed CRC based on colonoscopy findings and cancer free controls from five local hospitals were assessed for MetS according to the International Diabetes Federation (IDF) definition. Each index case was matched for age, gender and ethnicity with two controls (140: 280). Results: MetS among cases was highly prevalent (70.7%), especially among women (68.7%). MetS as an entity increased CRC risk by almost three fold independently (OR=2.61, 95%CI=1.53-4.47). In men MetS increased the risk of CRC by two fold (OR=2.01, 95%CI, 1.43-4.56), demonstrating an increasing trend in risk with the number of Mets components observed. Conclusion: This study provides evidence fora positive association between the metabolic syndrome and colorectal cancer. A prospective study on the Malaysian population is a high priority to confirm these findings.

Evaluating the Application of Portable Safety Equipment in Nuclear Power Plants using Multi-unit PSA (다수기 PSA 기반 원자력 발전소 이동형 안전 설비 활용성 평가)

  • Jae Young Yoon;Ho-Gon Lim;Jong Woo Park
    • Journal of the Korean Society of Safety
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    • v.38 no.3
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    • pp.110-120
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    • 2023
  • Following the Fukushima accident, portable equipment employed as accident mitigating systems have been installed and operated to reduce core damage and large early release frequencies. In addition, the establishment of an accident management strategy has gained importance. This study investigated the current status of portable equipment including the international portable equipment FLEX (diverse and flexible coping strategies), and domestic portable equipment multi-barrier accident coping strategy (MACST). Research on optimal utilization of MACST remains insufficient. As a preliminary study for establishing an optimal strategy, sensitivity studies were conducted to facilitate the priority of use on portable equipment, number of portable equipment, and dependency of operator actions based on a multi-unit probabilistic safety assessment model. The results revealed the conditions that reduced the multi-unit and site conditional core damage probabilities, indicating the optimal strategy of MACST. The results of this study can be used as a reference for establishing an optimal strategy that utilizes domestic safety equipment in the future.