• Title/Summary/Keyword: human error

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Study of Rate of Human Error by Workers in the Field based on Occupation (작업장 근로자의 직종별 Human Error 발생요인 연구)

  • Im Wan-Hee
    • Journal of the Korea Industrial Information Systems Research
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    • v.9 no.4
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    • pp.56-67
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    • 2004
  • This study analyzes human error of workers performing simple repetitive tasks, and in order to prepare preventative measures, 486 people were used as subjects. The results of the study are like the following. First, the biggest cause of human error showed to be the worker himself in $77.8\%$ of the cases, machinery showed to be the cause in $16.3\%$ of the cases and management showed to be the cause in $6.0\%$ of the cases. The results show that most of the human error occurred due to the worker performing simple repetitive tasks and the human errors showed to be caused more by bad ergonomics and long hours rather than by problems with machinery. In addition, the area with the highest rate of human error showed to be the Human Information Processing System with Task Input Error being the highest with $46.9\%$, followed by Judgement and Memory Error with $36.4\%$ and Recognition Verification Error with $16.7\%$. Although fully automated tasks may reduce the rate of human error we must focus on lowering the rate of problems arising from spontaneous errors caused by workers performing simple repetitive tasks by continuously renewing plans and budgets in order to standardize tasks by incorporating cyclic positioning according to experience and positional exchange and by inspecting the workplace to increase efficiency of the workers.

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Establishing the Importance Institution for Prevention of Human Error (인적오류 예방을 위한 제도의 상대적 중요도 분석)

  • Moon, Woo-Choon;Kim, Woong-Yi
    • Journal of Advanced Navigation Technology
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    • v.17 no.4
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    • pp.377-385
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    • 2013
  • Since the late 1950s, concerted efforts to reduce the accident rate in aviation have yielded unprecedented levels of safety. Although, the overall accident rate has declined considerably over the years, unfortunately reductions in human error-related accidents in aviation have failed to keep pace with the reduction of accidents due to environmental and mechanical factors. Today, a very large percentage of all aviation are attributable, directly or indirectly, to some form of human error. As a result of many study, a range of prevention of human error have been developed. but each of kind is lack of a precision, effectiveness and seem to be considered for aspect of deficiency as an systematic accessibility. So, we're going to analysis the most effective and systematic prevention of human error and study on consolidating method for human error and aviation safety. In this study, several alternatives for the prevention of human errors a priority to understand and solve problems by identifying the implications for human error to be presented.

Development and Utilization of Posters for Human Performance Improvement (인적행위개선 포스터 개발과 활용)

  • Kwon, Soon-Il;Son, Keum-Su;Jung, Yeon-Sub;Ko, Hyo-Je
    • Journal of the Ergonomics Society of Korea
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    • v.26 no.1
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    • pp.93-97
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    • 2007
  • As many as 111 reactor trips have occurred for recent 5 years('01-'05), and 26 cases of them have occurred due to human error. The trend of human error rate didn't decrease in 2004, so KHNP started to make efforts to decrease human errors. In 2006 KHNP bench marked excellent foreign nuclear power plants and introduced human error prevention tools. In addition, KHNP created as many as 40 posters for human performance improvement. The posters are based on the about 500 real incident reports collected through K-HPES from 1995. Therror preventive tols for the poster. This paper explains design of the posters and their application.

A Methodology for Analyzing Human Error in Railway Operations (철도 인적오류 분석방법론 개발)

  • Kim, Dong-San;Baek, Dong-Hyun;You, Seoung-Ryul;Yoon, Wan-Chul
    • Proceedings of the KSR Conference
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    • pp.1817-1827
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    • 2009
  • Although human error is recognized as the primary cause of railway accidents and incidents, there have been limitations in finding the root causes of errors and developing effective corrective actions in the Korean railway industry, due to the absence of a systematic method and lack of professional knowledge and skills of investigators. Therefore, there has been a strong need for a systematic methodology for human error analysis. This paper introduces a methodology for analyzing human error m railway operations, called HEAR (Human Error Analysis and Reduction). HEAR is intended to help analysts identify the sequences and various levels of causes of operators' erroneous actions in railway accidents or incidents and make recommendations to eliminate or reduce the future possibility of similar errors and accidents. It was developed based on a thorough investigation of various techniques for human errors analysis and feedback from field investigators.

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AGAPE-ET: A Predictive Human Error Analysis Methodology for Emergency Tasks in Nuclear Power Plants (원자력발전소 비상운전 직무의 인간오류분석 및 평가 방법 AGAPE-ET의 개발)

  • 김재환;정원대
    • Journal of the Korean Society of Safety
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    • v.18 no.2
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    • pp.104-118
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    • 2003
  • It has been criticized that conventional human reliability analysis (HRA) methodologies for probabilistic safety assessment (PSA) have been focused on the quantification of human error probability (HEP) without detailed analysis of human cognitive processes such as situation assessment or decision-making which are crticial to successful response to emergency situations. This paper introduces a new human reliability analysis (HRA) methodology, AGAPE-ET (A guidance And Procedure for Human Error Analysis for Emergency Tasks), focused on the qualitative error analysis of emergency tasks from the viewpoint of the performance of human cognitive function. The AGAPE-ET method is based on the simplified cognitive model and a taxonomy of influencing factors. By each cognitive function, error causes or error-likely situations have been identified considering the characteristics of the performance of each cognitive function and influencing mechanism of PIFs on the cognitive function. Then, overall human error analysis process is designed considering the cognitive demand of the required task. The application to an emergency task shows that the proposed method is useful to identify task vulnerabilities associated with the performance of emergency tasks.

Design of Human-Error Detect Filter (휴먼에러의 검출 필터 설계)

  • Kim, Hwan-Seong;Kim, Seung-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • pp.121-123
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    • 2009
  • In previous research results, human error can be detected by using observation theory which assumed with step human failures, thus the detector has a limit to detect the human failures. In this paper, we propose a human error detect filter for given human failures. Various kind of human failures can be modeled, and from these models, an argumented human failure model can constructed. By using the argumented human failure model, the human error detect filter can be designed.

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A Study on Human Error for safety improvement in railway industry (철도산업에서 안전성 제고를 위한 인적오류 연구)

  • Heo, Eun-Mee;Byun, Seong-Nam
    • Proceedings of the KSR Conference
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    • pp.2040-2047
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    • 2010
  • Railway system which has latent loss of lives and property by big accident with that human error such as locomotive driver, manager, signaller, and the others involved. So human error management is needed to control this complex system and to confirm safety of it. Rail human error research for managing human resource has grown rapidly in both quantity and quality of output over the past few years. The continual influences of safety concerns, new technical system opportunities, reorganization of the business, needs to increase effective, reliable and safe use of capacity, and increased society, media and government interest have now accelerated rail human factors research programmes in several countries. The objective of this research is to improve safety and to reduce accidents in korean railway system, through the application of research results to the investigation of requirement for human error.

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Research for the Prevention of Human Error in the Area of Spot Executive Power Transformation (현장 실행 위주의 변전분야 휴먼에러 예방에 관한 연구)

  • Do, Yeong-Hoei;Kim, Jin-Hwan;Kim, Chang-Su;Lee, Bok-Hyung
    • Proceedings of the KIEE Conference
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    • pp.315_317
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    • 2009
  • 전력계통은 발전, 송전, 변전, 배전계통으로 구성되지만 정전을 수반하는 대형고장은 전력계통 구성의 특성상 대부분 변전분야에서 발생하게 된다. 이러한 고장의 원인은 여러 가지로 분류할 수 있겠으나 특히 Human Error에 의한 고장 발생시 그 파급영향은 막대하다. 하지만 지금까지 변전설비의 고장 원인을 Human Error 측면에서 연구한 논문은 국내에서는 찾아보기가 힘들다. "전력계통의 고신뢰성 유지를 위한 변전분야 Human Error 예방대책"이란 논문이 2008년 한국전력 사내에서 발표된 정도이다. 본 논문에서는 해마다 끊이지 않고 반복되어지는 변전분야의 Human Error에 의한 고장에 대한 발생원인을 분석하고 현장 실행 위주의 예방대책을 제시하고자 한다.

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Human Error Analysis Technique and Its Application to Marine Accidents

  • Na, Seong;Kim, Hong-Tae;Kim, Hye-Jin;Ha, Wook-Hyun
    • Journal of Navigation and Port Research
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    • v.34 no.2
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    • pp.145-152
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    • 2010
  • The management of safety at sea is based on a set of internationally accepted regulations and codes, governing or guiding the design and operation of ships. The regulations most directly concerned with human safety and protection of the environment are, in general, agreed internationally through the International Maritime Organization(IMO). IMO has continuously dealt with safety problems and, recognized that the human element is a key factor in both safety and pollution prevention issues(IMO, 2010). This paper proposes a human error analysis methodology which is based on the human error taxonomy and theories (SHELL model, GEMS model and etc.) that were discussed in the IMO guidelines for the investigation of human factors in marine casualties and incidents. In this paper, a cognitive process model, a human error analysis technique and a marine accident causal chains focused on human factors are discussed, and towing vessel collision accidents are analyzed as a case study in order to examine the applicability of the human error analysis technique to marine accidents. Also human errors related to those towing vessel collision accidents and their underlying factors are discussed in detail.

A Framework for Computerized Human Error Analysis System - Focused on the Railway Industry (철도사고 인적오류 분석을 위한 지원시스템 프레임웍 설계)

  • Shin, Min-Ju;Baek, Dong-Hyun;Kim, Dong-San;Yoon, Wan-Chul
    • Journal of the Ergonomics Society of Korea
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    • v.27 no.3
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    • pp.43-52
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    • 2008
  • Human errors are now considered as the most significant source of accidents or incidents in large-scale systems such as aircraft, vessels, railway, and nuclear power plants. As 61% of the train accidents in Korea railway involving collisions, derailments and fires were caused by human errors, there is a strong need for a systematic research that can help to prevent human errors. Although domestic railway operating companies use a variety of methods for analyzing human errors, there is much room for improvement. Especially, because most of them are based on written papers, there is a definite need for a well-developed computerized system supporting human error analyzing tasks. The purpose of this study is to propose a framework for a computerized human error analysis system focused on the railway industry on the basis of human error analysis mechanism. The proposed framework consists of human error analysis (HEA) module, similar accident tracking (SAT) module, cause factor recommendation (CFR) module, cause factor management (CFM) module, and statistics (ST) module.