• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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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.

• Journal of the Korea Institute of Building Construction
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• v.22 no.4
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• pp.415-423
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• 2022

As human factors are the most important cause of construction accidents, it is important to reduce human error in construction work to reduce accidents. However, the error forcing context in organizational situations acts as a factor behind human error. Therefore, fatal construction accidents were analyzed using the m-SHEL model, which can identify the factors behind human errors. Through such analysis, it was found that there are differences in the detailed factors behind human errors according to the type of fatal accidents in construction, This study is meaningful in that it confirmed through accident cases that it is important to understand and respond to organizational situations in order to reduce human error in construction work.

• Proceedings of the Safety Management and Science Conference
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• 2013.11a
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• pp.321-327
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• 2013

기관사와 관제사는 일상적 교번근무의 제도적 틀과 사고 및 장애발생의 가능성을 늘 염려하면서 주어진 과업을 수행해나가고 있다. 최근 철도분야의 휴먼에러에 대한 사회적 관심이 높아지면서 휴먼에러 유발의 원인과 해소방안에 대한 연구관심도 더불어 증대되고 있다. 그 동안 기관사를 대상으로 한 연구가 주류를 이루고 있는 가운데 관제사에 대한 접근은 거의 이루어지지 않았다. 그러나 관제사 또한 안전업무종사자의 일원으로 이들의 과업수행은 휴먼에러와 깊은 관련성이 있다. 따라서 본 연구는 안전업무종사자인 기관사와 관제사의 휴먼에러 및 그 선행요인과 후행요인을 탐색적으로 밝히되 사회심리변인들의 상관관계분석 결과를 토대로 두 직종을 비교관점에서 접근함으로써 좀 더 의미있는 결과를 도출하는데 주력했다.

• 월간산업보건
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• s.373
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• pp.27-33
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• 2019

• 월간산업보건
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• s.371
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• pp.32-40
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• 2019

• 월간산업보건
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• s.370
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• pp.41-48
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• 2019

• 월간산업보건
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• s.372
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• pp.30-39
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• 2019

• Proceedings of the Safety Management and Science Conference
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• 2000.11a
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• pp.281-286
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• 2000

최근 자동화생산 및 장치산업에서 로봇시스템의 사용이 증가하고 있다. 그러나 로봇 오퍼레이터, 프로그래머, 공무요원 등 간의 커뮤니케이션 부족으로 휴먼에러가 발생하여 사람의 안전재해사고 뿐 아니라 로봇시스템 가동율에서도 나뱉 영향을 주고 있다. 따라서 본 연구에서는 여유컴포넌트 마코프모형을 기초로 휴먼에러를 고려한 마코프모형을 제안한다.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.207-215
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• 2021

A forklift is an industrial vehicle with a power-operated fork for lifting and moving heavy loads over short distances. A significant number of accidents are caused by forklifts every year. Most of them are known to be caused by the unsafe acts of workers. However, only a few studies have focused on the risks of forklift work from the perspective of human error. In addition, various methods have been developed to analyze the risk of human error, while it is hard to find studies that directly compare the effectiveness or strengths/weaknesses of those methods. This study aims to analyze risk factors related to unsafe behavior in forklift operations using two representative human error analysis techniques, i.e., .SHERPA and HE-HAZOP, and compare their advantages and disadvantages. The analysis was performed on three main forklift operations ('unloading from the truck', 'moving and loading into the storage', and 'loading on the truck'). As a result, 118 errors and 34 remedial measures were derived by SHERPA. Through HAZOP, 139 errors and 54 measures were derived. The two techniques were compared in terms of the number of results and the method of deriving errors and remedial measures, cause analysis, and risk assessment. This study might be used to reduce human error related disasters in workplaces using forklifts. In order to provide a guide for choosing an appropriate analysis method, more comparative studies on different techniques involving wide range of tasks are needed in the future.

• Journal of the Korea Institute of Building Construction
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• v.23 no.4
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• pp.477-484
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• 2023

Human error, a leading cause of construction accidents, emphasizes the need for minimization to reduce such incidents. However, due to the nature of the construction industry, workers operate within the collective environment of a construction site. Therefore, this study investigates the influence of safety awareness levels within construction sites on the human errors committed by construction workers, from an organizational perspective. The analysis revealed that human errors directly impact construction accidents and that safety awareness levels within construction sites influence the human errors committed by construction workers. Specifically, a strong correlation was observed between slip errors(unintentional actions or oversights) and safety awareness levels in nearly all domains of construction site safety. This study highlights that by elevating safety awareness levels within construction sites, the likelihood of construction worker slips - and by extension, construction accidents - can be significantly reduced.