• 대한안전경영과학회지
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• 제25권4호
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• pp.45-56
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• 2023

This study attempted to provide implications by analyzing the impact of business Owner's safety commitment on industrial accidents and examining the mediating role of management supervisors' safety leadership and worker participation. Analysis was conducted on 2,067 manufacturing sites with 20 to 50 employees in the 10th Occupational Safety and Health Survey data. SPSS waw used to secure the reliability of the measurement variable. Hypothesis vertification was carried out after securing the suitability and validity of the structural model using AMOS. The direct impact of three latent variables on industrial accidents was confirmed: the business owner's safety commitment, the management supervisor's safety leadership, and the worker participation. The employer's safety will and the management supervisor's safety leadership do not directly affect industial accidents, but it has been verified that worker participation has a diret impact on industrial accident reduction. In addition, it has been confirmed that the safety leadership and worker participation of the management. Supervior have a complete mediating effect on the reduction of industrial accidents by mediating with the safety leadership of the management supervior and the participation of the workers. This study analyzed the impact on industrial accidents by dividing the stakeholders constituting the workplace into three classes: business owners, superviors, and workers, but the results suggest that employers and all workers inside the workplace may be organically linked to achieving the goal of reducing industrial accidents. Therefore, in order to establish an autonomous safety management system for safety and health at workerplaces, efforts are needed to reduce industrial accidents in their respective location by forming an organic community among internal stakeholders.

• 한국가스학회지
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• 제23권1호
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• pp.47-53
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• 2019

산업현장에서는 폴리에틸렌(PE), 폴리프로필렌(PP), 폴리염화비닐(PVC), 폴리스테렌(PS) 및 폴리우레탄(PU)과 같은 다양한 종류의 범용 고분자 제품들이 광범위하게 제조 사용되고 있으며, 이들 제조현장에서는 화재 폭발 등으로 인해 산업재해가 많이 발생하고 있다. 이러한 사고를 예방하기 위해서는 과거에 발생한 사고사례를 수집 분석하여 사고특성 등을 파악하여 동종 혹은 유사사고 예방에 활용하는 것이 중요하다. 본 연구에서는 안전보건공단에서 운영하고 있는 산업재해통계시스템의 데이터베이스를 기초로 하여 SPSS를 활용하여 범용 고분자 제조공정별 재해분포 특성을 고찰하였다. 이들 결과는 범용 고분자 제조공정의 사고를 방지하고, 공정의 안전성을 확보하는데 활용하고자 한다.

• 산업경영시스템학회지
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• 제32권4호
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• pp.101-106
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• 2009

The unsafe act and unsafe condition is due to human error that experience 80% of safety accidents. Accordingly, one of the most important issues to reduce industrial accidents as a whole, is how to reduce the accident rate by the human error. Therefore, this paper describes the development of quantitative risk assessment (QRA) model by ergonomics for reform of safety consciousness on the semiconductor industry. Unconsciousness, disregard, ignorance, recklessness, and stress among the human factors are selected for conscious reform. Finally, the QRA model is efficiently expected to contribute towards improving continuous self-safety and health and safety culture campaign in order to prevent industrial accidents.

• 대한안전경영과학회지
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• 제17권4호
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• pp.105-112
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• 2015

Sawmilling industry remained a high risk with the average 4.73% of industrial accidents in 2010-2012 that was eight times that of general manufacturing. Sawmilling industry had 200 industrial accidents victim in average. Manufacturing process in sawmill industry contained dangerous machinery such as conveyors, roller, saw ( band saw, circular saw) etc. It may be effective to figure out the type of industrial accidents occurred in the past and extend risk assessment which can predict hazard such as near miss when implementing exposure or potential dangers in sawmill industry. This study conducted research on the actual condition on the place of industrial accident occurrence, detailed work and contact object when injured, and injured part targeting 643 businesses which had industrial accidents in 2010-2012. As the results, RPN of general sawmill industry was the highest 'ganglip saw' with 36,157. RPN of the following order were 'moving truck' with 25,454, 'special machining operations' with 22,283. Also, probability of general sawmill industry was a lots within 1 year, while risk appeared a lots within 5 years. So, risk assessment shall be needed to emphasis on accident prevention of sawmill industry. And additional work will be needed on the risk assessment in hazard prevention work of supervisors.

• 대한안전경영과학회지
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• 제14권4호
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• pp.59-70
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• 2012

This study compared data regarding industrial accidents and awareness level for beauty product safety for four main parts of beauty industry such as hair-care, nail-care, skin-care, and make-up. Major risk factors in beauty industry are dust, musculoskeletal disorders, and organic solvent of beauty product in order of percentage. The specific types of industrial accidents in beauty industry are mainly associated with musculoskeletal system such as cuts, sprain, and varicose vein. They are mainly compensated by personal budget. The awareness levels of chemical and heavy metal containment for beauty product by beauty industry employee were 77.2% and 59.1% respectively. Most employee confirmed only important items of labelling requirement of beauty product. Also, most employee did not understand MSDS(Materila Safety Data) for chemicals used in beauty industry. Only 38.1% of beauty industry employee has had safety education while most employee (73.6%) realized that they needed safety education. Also, safety education supervised by KOSHA(Korea Occupational Safety and Health Agency) was the most preferred. This study would be good basis for safe and healthy working environment of beauty industry employee.

• 한국안전학회지
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• 제39권2호
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• pp.44-53
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• 2024

In addition to being used for ascending and descending to work locations, portable ladders are widely used as a substitute for work platforms when working at heights in homes and industrial sites. However, accidents continue to occur in industrial sites owing to structural instabilities of ladders and the negligence of safety measures by users. To prevent accidents involving workers using portable ladders, it is important to encourage workers to use them correctly through laws and regulations; however, establishing effective preventive measures that go beyond regulations can increase acceptance in industrial sites and maximize the effect of reducing industrial accidents. Therefore, this study conducts a fact-finding survey and portable safety ladder product analysis and collects stakeholder opinions to develop a Korean-style safety ladder that can replace step ladders with a high risk of accidents.

• 한국사회복지학
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• 제68권1호
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• pp.23-52
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• 2016

본 연구는 남성 이주노동자들의 산업재해 후 삶의 의미와 본질을 연구하는 것을 목적으로 한다. 이를 위해 13명의 남성 이주노동자들을 심층 면담하여 그 내용을 Van Manen(1990)의 체험적 현상학 연구방법으로 분석하였다. 그 결과, 121개의 의미단위를 구성하고, 이 단위들을 압축 및 요약하여 38개의 드러난 주제와 9개의 본질적 주제를 추출하였다. 본질적 주제들은 '이방인에게 가해진 산재병원의 횡포', '노동력을 상실한 잉여인간으로서의 대우', '산재를 당해도 어쩔 수 없는 계급 아래의 계급', '반동적 정서로 살아남기', '익명의 대지에서 호모 사케르로서 살아가기', '이주노동자간의 계층화 전략', '실체 없는 그림자로서의 뿌리', '현실을 벗어나기 위한 몸부림', '내일이 없는 과거에 묶인 현재'이며, 이를 인간의 생활 세계를 구성하고 있는 네 가지 실존범주로 그 의미를 탐구하였다. 이를 바탕으로 이주노동자들의 훼손된 삶의 질을 복원하고, 사회통합에 기여할 수 있는 사회복지적 개입 방안을 제언하였다.

• 산업경영시스템학회지
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• 제38권1호
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• pp.1-7
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• 2015

The traffic accidents in Korea have been increasing every year due to various reasons and simultaneously causing socioeconomic cost at the national level. This study has analyzed the correlation between meteorological factors and the traffic accidents in Seoul during 2013. Especially, we have selected season, rain and temperature among the meteorological factors to identify their significance with the traffic accidents. In addition, analysis of variance, t-test and a multiple regression technique is applied. Major findings from the analyses are discussed at the district point of view, including the different effect of weather condition and the interaction effect of rain and temperature in winter. The results of this study would be useful for developing management strategies to reduce car crashes and injury severity in Seoul.

• 대한안전경영과학회지
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• 제19권1호
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• pp.27-37
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• 2017

In the construction sites, rush (speedy construction) work have recently been overused because of budget reductions by reducing the construction duration after the long-term economic recession and construction business stagnation with institutional change including the instruction of the duration shortening bidding system and the introduction of the post-construction sales system by the Korea Research Institute for Human Settlements. Due to this, negligent accidents have frequently occurred by forcing manpower, equipment, finance, and material procurement and pressing ahead with impractical construction wok at night according to the reduction of construction schedules. Therefore, this paper has the necessity of this study to seek for alternatives to prevent negligent accidents by finding factors related to rush work in the reality that the importance for preventing negligent accidents is more emphasized while they have not been reduced in construction sites.

• 산업경영시스템학회지
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• 제40권4호
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• pp.147-153
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• 2017

The mortality rate in industrial accidents in South Korea was 11 per 100,000 workers in 2015. It's five times higher than the OECD average. Economic losses due to industrial accidents continue to grow, reaching 19 trillion won much more than natural disaster losses equivalent to 1.1 trillion won. It requires fundamental changes according to industrial safety management. In this study, We classified the risk of accidents in industrial complex of Ulju-gun using spatial analytics and data mining. We collected 119 data on accident data, factory characteristics data, company information such as sales amount, capital stock, building information, weather information, official land price, etc. Through the pre-processing and data convergence process, the analysis dataset was constructed. Then we conducted geographically weighted regression with spatial factors affecting fire incidents and calculated the risk of fire accidents with analytical model for combining Boosting and CART (Classification and Regression Tree). We drew the main factors that affect the fire accident. The drawn main factors are deterioration of buildings, capital stock, employee number, officially assessed land price and height of building. Finally the predicted accident rates were divided into four class (risk category-alert, hazard, caution, and attention) with Jenks Natural Breaks Classification. It is divided by seeking to minimize each class's average deviation from the class mean, while maximizing each class's deviation from the means of the other groups. As the analysis results were also visualized on maps, the danger zone can be intuitively checked. It is judged to be available in different policy decisions for different types, such as those used by different types of risk ratings.