• Proceedings of the ESK Conference
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• 1995.10a
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• pp.114-124
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• 1995

The production activity by human is accompanied by various accidents, resulting in human and property loss. If information on these industrial accident can be collected, organized and analyzed for a period of time and be used in the decision-making process for the purpose of preventing industriar accident, we will be able to get rid of industriar accident and prevent human and property loss and creat a pleasant industrial atmosphere. In order to achieve this goal, the collected information should be accurate, and trusted in the work place or govemement agency the informantion is being utilized. This research analyzed the problem in our nation's industrial accident statistics and estimated the number of accidents that are occuring and suggested improvement measures so that the industrial accident statistics can be calculated arately.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.137-142
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• 2012

Objective: The aim of this study is to investigate the characteristics of industrial accidents in shipbuilding industry. Background: As the accident frequency in shipbuilding industry is higher than those of other industries, it is important to grasp the accident characteristics of shipbuilding industry to reduce the accidents. Method: This paper aggregated some important accident report of the shipbuilding industry including industrial accident analysis of Korean government and drew some important accident characteristics of shipbuilding industry. Results: Accidents in Shipbuilding industry was reviewed in respect of accidents rate, accidents distribution by age, accidents by employed period, accidents severity, accidents type, accidents type by process, accidents caused by object, and hazards in process. Conclusion: Accident related indexes in shipbuilding were much higher than those of whole industry. Application: These results can be used to provide base information for more effective accident preventions in shipbuilding industry.

• Journal of the Korean Society of Safety
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• v.19 no.3 s.67
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• pp.84-88
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• 2004

Accident of small and medium-sized construction sites happens much than large-sized construction sites. The safety consulting for accident prevention of construction sites has been launched in 1995. This research probed latency accident of small and medium-sized construction sites. By method, we used that result data of safety consulting for accident prevention of small and medium-sized construction sites. As a result a fall was examined by the most latency accident factor. In this study, a fall and electric shock, descent, fall down in ground, a fire was examined weighty accident factor of small and medium-sized construction sites.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.14 no.24
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• pp.83-95
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• 1991

This paper investigate into practice industrial safety consciousness and requirement for the spot workers in engaged the metal industry. Industrial accident defines "unwanted event" happened unexpectedly in opposition to hope workers and industrial accident is being possible to prevent. The purpose of this paper is to present a basic data for preventing and deceasing industrial accident from the spot works system by means of the improvement of worker's own safety consciousness and analyzing the spot worker's requirement in industrial safety.al safety.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.27 no.1
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• pp.24-31
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• 2004

With Zohar(1980)'s research on safety climate and industrial safety, occupational safety and health literatures begin to emphasize the influence of organizational context. Based on this research trend, this paper tried to review the relationship between individual/ organizational factors and occupational accidents. Based on the responses from 643 manufacturing workers, this paper reviewed the relationship between antecedents(safety knowledge, safety motivation, safety education, and safety precaution activity) and safety consequences(accident parts, accident number, resting days). The results of statistical analysis showed that many antecedents have significantly negative relationships with safety consequences.

• Journal of the Korean Society of Safety
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• v.36 no.1
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• pp.50-55
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• 2021

This study aims to analyze an influence of industrial accident on industrial productivity. We analyzed relationship among industrial accident, labor force, and industrial productivity using vector error correction model (VECM). The data used in the analysis were the number of industrial accidents, the number of workers, and index of all industry production from January 2008 to June 2017 in Korea. Finally, the industrial accidents have played a role in reducing labor force and industrial productivity.

• IE interfaces
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• v.15 no.2
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• pp.114-125
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• 2002

The objective of this paper is to describe a systematic accident scenario analysis method(SASA) adept at creating accident scenarios for the design of safer products. This approach was inspired by the Quality Function Deployment(QFD) method, which is conventionally used in quality management. In this study, the QFD provides a formal and systematic scheme to devise accident scenarios while maintaining objectivity. SASA consists of three key stages to be broken down into a series of consecutive steps:(1) developing an accident analysis tableau,(2) devising the accident scenarios using the accident analysis tableau,(3) performing a feasibility test, a clustering process and a patterning process, and finally(4) performing quantitative evaluation of each accident scenario. The SASA was applied to a case study of child safety seats. The accident analysis tableau devised 2828(maximum) accident scenarios from all possible relationships between the hazard factors and situation characteristics. Among them, 270 scenarios were devised through the feasibility test and the clustering process. The patterning process reduced them to 29 patterns representative of all accident scenarios. Based on an intensive analysis of the accident patterns, design guidelines for a safer child safety seat were recommended. The implications of the study on the child safety seat case were then discussed.

• Journal of the Korean Society of Safety
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• v.25 no.6
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• pp.47-52
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• 2010

Many industrial accidents have occurred over the years in the manufacturing and construction industries in Korea. However, as the service industry has increased continuously, the share of the accident rate in the service industry was 39.07% in 2009, while the manufacturing industry share was 33.73%. The service industry share overtook the manufacturing industry share for the first time. Therefore, this research considers prevention of industrial accidents in the service industry as well as manufacturing and construction industries. This paper describes a procedure and a method to estimate efficient accident rate forecasting and estimated zero accident time in the service industry in order to prevent industrial accidents in the transportation, storage, and telecommunication divisions. This paper proposes a model using an analytical function for the sake of very efficient accident rate forecasting. Accordingly, this paper has develops a program for accident rate forecasting, zero accident time estimating, and calculation of achievement probability through MFC (Microsoft Foundation Class) software Visual Studio 2008 in the transportation, storage, and telecommunication divisions. In results of this paper, ARIMA (Auto Regressive Integrating Moving Average) is regarded as a very efficient forecasting model for the transportation, storage, and telecommunication division. In testing this model, value minimizing the Sum of Square Errors (SSE) was calculated as 0.2532. Finally the results of this paper are sure to help establish easy accident rate forecasting and strategy or method of zero accident time in the service industry for prevention of industrial accidents.

• Journal of the Korean Society of Safety
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• v.35 no.4
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• pp.64-73
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• 2020

As Korean government and safety-related organizations make continuous efforts to reduce the number of industrial accidents, accident rate has steadily declined since 2010, thereby recording 0.48% in 2017. However, the number of fatalities due to industrial accidents was 1,987 in 2017, which means that more efforts should be made to reduce the number of industrial accidents. As an essential activity for enhancing the system safety, accident analysis can be effectively used for reducing the number of industrial accidents. Accident analysis aims to understand the process of an accident scenario and to identify the plausible causes of the accident. Accident analysis offers useful information for developing measures for preventing the recurrence of an accident or its similar accidents. However, it seems that the current practice of accident analysis in Korean manufacturing companies takes a simplistic accident model, which is based on a linear and deterministic cause-effect relation. Considering the actual complexities underlying accidents, this would be problematic; it could be more significant in the case of human error-related accidents. Accordingly, it is necessary to use a more elaborated accident model for addressing the complexity and nature of human-error related accidents more systematically. Regarding this, HFACS(Human Factors Analysis and Classification System) can be a viable accident analysis method. It is based on the Swiss cheese model and offers a range of causal factors of a human error-related accident, some of which can be judged as the plausible causes of an accident. HFACS has been widely used in several work domains(e.g. aviation and rail industry) and can be effectively used in Korean industries. However, as HFACS was originally developed in aviation industry, the taxonomy of causal factors may not be easily applied to accidents in Korean industries, particularly manufacturing companies. In addition, the typical characteristics of Korean industries need to be reflected as well. With this issue in mind, we developed HFACS-K as a method for analyzing accidents happening in Korean industries. This paper reports the process of developing HFACS-K, the structure and contents of HFACS-K, and a case study for demonstrating its usefulness.

• Journal of the Ergonomics Society of Korea
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• v.36 no.2
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• pp.157-168
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• 2017

Objective: This study aims to understand the motorcycle accident characteristics of food delivery workers and to present basic guidelines on accident prevention through accident. Background: It is known that food delivery workers have a high ratio of self-employed and youth workers, and occupations with frequent disasters. Therefore the occupation is known to really be in need of accident prevention policy. Method: This study analyzed the data of motorcycle crashes of 1,310 food delivery workers that have been approved as on-duty industrial crashes since 2015. The accident characteristics were examined by dividing them into driver related factors and accident related factors. Results: Among the motorcycle crashes of food delivery workers, 99.2% of the victims were males, 82.6% had less than six months of work experience. 76.2% of the victims were employed by the companies with less than five workers. In addition, there was a difference in accident characteristics according to age, type of cuisine, accident time of the day, injured organs and injured body part. Conclusion: The results of this study can be used as baseline data to devise systematic measures to prevent motorcycle crashes of food delivery workers. Application: Preventative measures for novice young part time workers including safety education/training need to be established.