• 제목/요약/키워드: human factor analysis and classification system

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SEM-based study on the impact of safety culture on unsafe behaviors in Chinese nuclear power plants

  • Licao Dai;Li Ma;Meihui Zhang;Ziyi Liang
    • Nuclear Engineering and Technology
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    • 제55권10호
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    • pp.3628-3638
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    • 2023
  • This paper uses 135 Licensed Operator Event Reports (LOER) from Chinese nuclear plants to analyze how safety culture affects unsafe behaviors in nuclear power plants. On the basis of a modified human factors analysis and classification system (HFACS) framework, structural equation model (SEM) is used to explore the relationship between latent variables at various levels. Correlation tests such as chi-square test are used to analyze the path from safety culture to unsafe behaviors. The role of latent error is clarified. The results show that the ratio of latent errors to active errors is 3.4:1. The key path linking safety culture weaknesses to unsafe behaviors is Organizational Processes → Inadequate Supervision → Physical/Technical Environment → Skill-based Errors. The most influential factors on the latent variables at each level in the HFACS framework are Organizational Processes, Inadequate Supervision, Physical Environment, and Skill-based Errors.

새로운 한의학 병인분류체계의 연구 (The New Etiologic Classification System of Korean Medicine)

  • 박해모;이기남;황귀서;신용철;고성규;이해웅;이영준;임병묵;이상재;정명수;장보형;박선주;이선동
    • 대한예방한의학회지
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    • 제17권2호
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    • pp.47-68
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    • 2013
  • Objectives : This research aimed to develop a new etiologic classification for traditional Korean Medicine in order to respond to the social and environmental change. Methods : We reviewed the existing theories on etiological classification for East Asian Medicine thoroughly and discussed the problems and limitations. Based on the experts' consensus, we abstracted disease factors and etiologic items. Results : The disease factors are classified into three parts: the human body, the environment, and the interaction between the human body and the environment. We defined them as the inner factor, the external factor, and the interaction between the inner and the external factors. The inner factor is free from the influence of the environment, and it causes diseases solely from the components of the human body. It is divided into genetic factors. The external factor is defined as a case when a disease occurs due to a factor outside the human body and includes external injuries, environmental pollution, and natural disasters. The interaction between the inner and the external factors is a disease factor that causes diseases by the interaction of the human body and the environment and includes emotions, habits, and social environment. As a result of the analysis, it was possible to see the meanings at a single glance as the scattered and fractional meanings were integrated with focus on medicinal herbs, but the increasing number of analyzed medicinal herbs tended to more and more complicate their relationships, thus, requiring additional work like filtering. Conclusions : The new etiologic classification of Korean Medicine fully reflects the perspectives on life in Korean Medicine while embracing the changes in modem society. Also, by avoiding the usage of ambivalent terms and wrong classification methods, the new classification system constructs intuitive and concise etiology and improves usability in clinical medicine.

가족체계모델과 청소년의 적응 (Family System Model and Adolescent Adjustment - The Olson Circumplex and Beavers Systems Models -)

  • 전귀연
    • 한국가정과학회지
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    • 제2권1호
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    • pp.38-51
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    • 1999
  • The purpose of this study was to test the validity of Olson Circumplex Model and Beavers Systems Model related to adolescent adjustment. The 830 subjects were selected from the second grade of middle and high schools and adolescents of Juvenile Judge in the city of Taegu. The survey instruments were FACESIII, SFIII, State-Trait Anxiety Inventory, Depression Scale, and Delinquency Scale. Factor Analysis, Cronbach's ${\alpha}$. MANOVA, Scheff'e test were conducted for the data analysis. The major findings of this study were as follows: 1) Family system classification method on Olson Circumplex Model was partially useful in evaluating anxiety, depression, and delinquency of adolescent. 2) Family system classification method on Beavers Systems Model was partially useful in evaluating anxiety and depression of adolescent. (Korean J Human Ecology 2(1) : 38~51, 1999)

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Safety of Workers in Indian Mines: Study, Analysis, and Prediction

  • Verma, Shikha;Chaudhari, Sharad
    • Safety and Health at Work
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    • 제8권3호
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    • pp.267-275
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    • 2017
  • Background: The mining industry is known worldwide for its highly risky and hazardous working environment. Technological advancement in ore extraction techniques for proliferation of production levels has caused further concern for safety in this industry. Research so far in the area of safety has revealed that the majority of incidents in hazardous industry take place because of human error, the control of which would enhance safety levels in working sites to a considerable extent. Methods: The present work focuses upon the analysis of human factors such as unsafe acts, preconditions for unsafe acts, unsafe leadership, and organizational influences. A modified human factor analysis and classification system (HFACS) was adopted and an accident predictive fuzzy reasoning approach (FRA)-based system was developed to predict the likelihood of accidents for manganese mines in India, using analysis of factors such as age, experience of worker, shift of work, etc. Results: The outcome of the analysis indicated that skill-based errors are most critical and require immediate attention for mitigation. The FRA-based accident prediction system developed gives an outcome as an indicative risk score associated with the identified accident-prone situation, based upon which a suitable plan for mitigation can be developed. Conclusion: Unsafe acts of the worker are the most critical human factors identified to be controlled on priority basis. A significant association of factors (namely age, experience of the worker, and shift of work) with unsafe acts performed by the operator is identified based upon which the FRA-based accident prediction model is proposed.

The Human Capital as a Factor of Competitiveness and Economic Development

  • Chulanova, Zaure K.
    • Asian Journal of Business Environment
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    • 제7권3호
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    • pp.23-31
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    • 2017
  • Purpose - The purpose of this paper is to rationale the new approach to analysis of the human capital as a factor of effective development of a national economy and increase the level of country's competitiveness. Research design, data, and methodology - This research aims the furthest development of the conception in human capital formation. The study made on the base of the methods with scientific classification and systematization, that is, comparative, statistical analysis, economic-mathematic method, and expert assessment and ratings. Results - This research attempted to measure the correlation between the human capital elements and the level of country's competitiveness. The study revealed that formation of the competitive human capital cannot be considered in separation from the development and modernization of education system, the improvement of employment sphere, and the creation of effective interaction between them through the system of professional skills. Conclusions - The competitive human capital formation is one of the most important goals in the innovative economy construction and modern development, and it is also indispensable subject. Especially in the condition of economic crises, the necessity of formation and development of the effective human capital is considerably increasing. Realization of this task requires the development and stimulation of all the factors influencing the growing human potential.

철도사고의 인적오류 분석을 위한 수행도 영향인자 분류 (Taxonomy of Performance Shaping Factors for Human Error Analysis of Railway Accidents)

  • 백동현;구락조;이경선;김동산;신민주;윤완철;정명철
    • 산업경영시스템학회지
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    • 제31권1호
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    • pp.41-48
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    • 2008
  • Enhanced machine reliability has dramatically reduced the rate and number of railway accidents but for further reduction human error should be considered together that accounts for about 20% of the accidents. Therefore, the objective of this study was to suggest a new taxonomy of performance shaping factors (PSFs) that could be utilized to identify the causes of a human error associated with railway accidents. Four categories of human factor, task factor, environment factor, and organization factor and 14 sub-categories of physical state, psychological state, knowledge/experience/ability, information/communication, regulation/procedure, specific character of task, infrastructure, device/MMI, working environment, external environment, education, direction/management, system/atmosphere, and welfare/opportunity along with 131 specific factors was suggested by carefully reviewing 8 representative published taxonomy of Casualty Analysis Methodology for Maritime Operations (CASMET), Cognitive Reliability and Error Analysis Method (CREAM), Human Factors Analysis and Classification System (HFACS), Integrated Safety Investigation Methodology (ISIM), Korea-Human Performance Enhancement System (K-HPES), Rail safety and Standards Board (RSSB), $TapRoot^{(R)}$, and Technique for Retrospective and Predictive Analysis of Cognitive Errors (TRACEr). Then these were applied to the case of the railway accident occurred between Komo and Kyungsan stations in 2003 for verification. Both cause decision chart and why-because tree were developed and modified to aid the analyst to find causal factors from the suggested taxonomy. The taxonomy was well suited so that eight causes were found to explain the driver's error in the accident. The taxonomy of PSFs suggested in this study could cover from latent factors to direct causes of human errors related with railway accidents with systematic categorization.

남성복(男性服)의 치수규격을 위한 체형분류(I) - 직접계측자료에 의한 동체부의 분류 - (Classification of Bodytype on Adult Male for the Apparel Sizing System (I) - Bodytype of Trunk from the Anthropometric Data -)

  • 김구자;이순원
    • 한국의류학회지
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    • 제17권2호
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    • pp.281-289
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    • 1993
  • Concept of the comfort and fitness becomes a major concern in the basic function of the ready-made clothes. Accordingly a more sophiscated classification of the human morphological characteristics is strongly required for the effective clothing construction. This research was performed to classify and characterize Korean adult males anthropometrically. Sample size was 1290 subjects and their age range was from 19 to 54 years old. Sampling was carried out by the stratified sampling method. Data were collected by the direct anthropometric measurement. 75 variables in total were applied to classify the bodytypes. Data were analyzed by the multivariate method, especially factor and cluster analysis. The high factor loading items extracted by factor analysis were based to determine the variables of the cluster analysis for the similar bodytypes respectively. In the part of the trunk, 19 variables from the data were applied to classify the bodytypes of trunk by Ward's minimum variance method. The groups forming a cluster were subdivided into 5 sets by cross-tabulation extracted by the hierarchical culster analysis. Type 3 and 4 in trunk were composed of the majority of 55.6% of the subjects. The Korean adult males had relatively well-balanced bodytypes in trunk.

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옷감의 질감 명명 체계 확립을 위한 질감 속성자 분류 -여성 슈트용 추동복지의 질감 속성을 중심으로- (Classification of Textural Descriptors for Establishing Texture Naming System(TNS) of Fabrics -Textural Descriptions of Women's Suits Fabrics for Fall/winter Seasons-)

  • 한은경;김은애
    • 한국의류학회지
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    • 제30권5호
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    • pp.699-710
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    • 2006
  • The objective of this study was to identify the texture-related components of woven fabrics and to develop a multidimensional perceptual structure map to represent the tactile textures. Eighty subjects in clothing and tektite industries were selected for multivariate data on each fabric of 30 using the questionnaire with 9 pointed semantic differential scales of 20 texture-related adjectives. Data were analyzed by factor analysis, hierarchical cluster analysis, and multidimensional scaling(MDS) using SPSS statistical package. The results showed that the five factors were selected and composed of density/warmth-coolness, stiffness, extensibility, drapeability, and surface/slipperiness. As a result of hierarchical cluster analysis, 30 fabrics were grouped by four clusters; each cluster was named with density/warmth-coolness, surface/slipperiness, stiffness, and extensibility, respectively. By MDS, three dimensions of tactile texture were obtained and a 3-dimensional perceptual structure map was suggested. The three dimensions were named as surface/slipperiness, extensibility, and stiffness. We proposed a positioning perceptual map of fabrics related to texture naming system(TNS). To classify the textural features of the woven fabrics, hierarchical cluster analysis containing all the data variations, even though it includes the errors, may be more desirable than texture-related multidimensional data analysis based on factor loading values in respect of the effective variables reduction without losing the critical variations.

안전정보분석 및 안전위험평가를 위한 항공안전감독 점검표 구조 설계 (A Structural Design of Aviation Safety Inspection Checklist for Safety Information Analysis and Safety Risk Assessment)

  • 최동욱;최순지;최영재
    • 한국항공운항학회지
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    • 제24권2호
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    • pp.59-67
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    • 2016
  • The checklist currently used for Aviation safety inspection performed by ASIs consists of inspection groups and multiple items, it does not have structured hierarchy system which required to efficiently process aviation safety analysis. On this study, through mapping taxonomy of HFACS onto current checklist to secure structured hierarchy system and present a specification on systematic frequency and severity to perform safety risk assessment of detected hazard.

독성가스시설의 인적오류 수행영향인자에 관한 연구 (A Study on Performance Shaping Factors of Human Error in Toxic Gas Facilities)

  • 김영란;장서일;신동일;김태옥;박교식
    • 한국가스학회지
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    • 제18권4호
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    • pp.68-75
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    • 2014
  • 독성가스시설에서 대형사고로 인한 손실을 감소시키기 위해서는 인적요소를 제어하고, 평가하는 것이 필요하다. 기존의 안전성 평가는 기계적 결함이나 시스템의 위험이 주로 강조되어 왔으며, 인적오류를 관리하는 평가방법이 부족하여 본 연구에서는 독성가스시설의 사고관리 상황에서 인적오류를 구성하는 수행영향인자 분류체계를 제안하고자 하였다. 이를 위해 주요 수행영향인자 분류체계의 유형을 수집하여 검토와 분석을 한 후 4가지(작업자 특성, 시스템, 직무특성 및 직무환경)로 나누고, 독성가스시설의 상황적 특성과 직무특성 및 작업환경을 고려하여 수행영향인자를 선택하였다. 이로 부터 인적오류의 평가에 사용하기 적절한 수행영향인자 체계를 구축하고, 구축한 수행영향인자 분류체계를 독성가스시설에서 발생하였던 사고 사례분석을 통해 적용성을 검토하였다.