• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.27-40
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• 2004

There are much dangerous machine in worksite. These make the rate of accidents increase. Specially, among them, the Press work has the highest rate of accidents. Therefore, it has been managed by Industrial safety-health law. It is very important to make a special study of work using the dangerous machine. In press work, it is also important to develop safety system program to improve productivity and work safely, In this reaserch, the safety management system is built for the work improvement of the Press. This paper showed method about dangerous machine.

• Journal of the Korean Society of Safety
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• v.30 no.5
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• pp.108-113
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• 2015

Plastic injection moulding machine is widely used for many industrial field. It is classified into mandatory safety certification machinery in Industrial Safety and Health Act because of its high hazard. In order to prevent industrial accidents by plastic injection moulding machine, it is necessary for designer to identify hazardous factors and assess the failure modes to mitigate them. This study tabulates the failure modes of main parts of plastic injection moulding machine and how their failure has affect on the machine being considered. Failure Mode & Effect Analysis(FMEA) method has been used to assess the hazard on plastic injection moulding machine. Risk and risk priority number(RPN) has been calculated in order to estimate the hazard of failures using severity, probability and detection. Accidents caused by plastic injection moulding machine is compared with the RPN which was estimated by main regions such as injection unit, clamping unit, hydraulic and system units to find out the most dangerous region. As the results, the order of RPN is injection unit, clamping unit, hydraulic unit and system units. Barrel is the most dangerous part in the plastic injection moulding machine.

• Journal of the Korea Safety Management & Science
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• v.6 no.3
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• pp.15-26
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• 2004

There is much dangerous machine in worksite. These make the rate of accidents increase. Specially, among them, dryness equipment work has the highest rate of accidents. Therefore, it has been managed by safety-health law. It is very important to make a special study of work using the dangerous machine. In press work, it is also important to develop safety system program to improve productivity and work safely In this reaserch. the safety mangement system is built for the work improvement of the Press. I will try new development method about dangerous machine.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.22 no.5
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• pp.782-788
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• 2013

This study addresses the issue of safety of the splash guard of a computer numerical control (CNC) machine tool at the design stage. As an impact test for evaluating safety requirements such as strength under the safety regulation is an expensive and iterative task, it is necessary to develop a new method to minimize the task of the impact test for development of the machine tool. In this study, explicit finite element method was adopted for replacement of the impact test of the splash guard of a machine tool at the design stage. A finite element model was developed for implementing the impact test on an actual vertical CNC lathe and then produced the analysis including plastic strain and deformation to enable the safety of its splash guard to be determined. The analysis results demonstrated that the finite element method can be applied to safety evaluation for design of the splash guard of a CNC machine tool.

• Proceedings of the Safety Management and Science Conference
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• 2005.11a
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• pp.199-202
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• 2005

All machines and systems in a firm should be managed for optimizing its productivity. Actually, however, it is hard to manage the machines of a firm in collective methods because the company making each machine varies and the way maintaining each machine is various. As a machine Is out of order, the machine is fixed by the repair person from the company making the machine. Every time comes repair person to fix a machine firm having the machine would experience time loss and cost loss. Therefore, a firm needs to manage blueprint of their machine to reduce loss in time and cost and to maintain their facilities in TPM(Total Productive Management) to make operators manage directly. In this study, we suggest the method to manage a blueprint of a machine with TPM.

• Journal of the Korea Safety Management & Science
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• v.9 no.1
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• pp.77-84
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• 2007

This study was planned to investigate what the main factor of the regulation compliance of inspection on harmful machine, instrument and equipment by industrial safety and health act is. This study subject was composed of three groups as employers, employees of manufacturing and using the harmful machine and safety inspectors. Manufacturing workplace were 236 places, using workplace were 201 places and the safety inspectors were 100 people. The study subject was sampled by stratified random sampling considering the type of harmful Machine. Data for analysis is collected from each sample using interview with structured questionnaires. Compliance is measured by 2, 3, and 4 point scale composed by 8 sub items such as general perception, understanding, clearness, necessity, relevancy, implementation, penalty, and general compliance of the regulation. The level of 8 items of employer's compliance are not differentiated among three groups. The determining factors for inspection observance of the workplace using the harmful Machine were understanding, penalty and cognized compliance. The determining factors for inspection observance of the workplace manufacturing the harmful Machine were understanding and object conformity. These results show that the strategy to adapt the regulated group to inspection regulation will be the elevation of understanding for regulation first of all.

• Journal of the Korean Society of Safety
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• v.20 no.2 s.70
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• pp.140-145
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• 2005

The PL(Product Liability) Law has been going into effect in Korea since July 2002. Accordingly, a company's responsibility for customers who are damaged by the defect in the product safety has been gradually strict and imposed burden on management. Not only general consumers but also labors who work with machine in the field of production are included in the concept of victim of the PL Law. That is to say, when a worker is damaged by the defect of machine he can institute a PL lawsuit more aggressively, not just get the industrial accident compensation as usual, only if not his own fault but the defect of machine used in the course of production can be demonstrated. This paper intends to present suggestions to PL prevention of manufacturing companies of industrial machine through the case research of PL accidents in the area of industrial safety.

• Journal of the Korean Society of Safety
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• v.36 no.5
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• pp.52-60
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• 2021

As the prevention of fatal accidents is considered an essential part of social responsibilities, both government and individual have devoted efforts to mitigate the unsafe conditions and behaviors that facilitate accidents. Several studies have analyzed the factors that cause fatal accidents and compared them to those of non-fatal accidents. However, studies on mathematical and systematic analysis techniques for identifying the features of fatal accidents are rare. Recently, various industrial fields have employed machine learning algorithms. This study aimed to apply machine learning algorithms for the classification of fatal and non-fatal accidents based on the features of each accident. These features were obtained by text mining literature on accidents. The classification was performed using four machine learning algorithms, which are widely used in industrial fields, including logistic regression, decision tree, neural network, and support vector machine algorithms. The results revealed that the machine learning algorithms exhibited a high accuracy for the classification of accidents into the two categories. In addition, the importance of comparing similar cases between fatal and non-fatal accidents was discussed. This study presented a method for classifying accidents using machine learning algorithms based on the reports on previous studies on accidents.

• Journal of the Korean Society of Safety
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• v.28 no.6
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• pp.1-5
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• 2013

Notorious press machine bothers employers by causing so many industrial accidents which are mostly of caught-in or between type. In 2008, press machines caused 1665 cases of such type of accidents, which reached about 11% of all those. Even though various approaches has been adopted to prevent those press machine accidents, up to now, no one was found to be satisfactory. In this study, two kinds of companies, accident-occurred and accident-free by press machine, were surveyed to find out positive and negative factors for accidents prevention. 400 companies which experienced accidents in 2008 and 200 companies which did not experience accident at all during the same period were selected for this survey. Most of these companies are small companies that employ less than 50 employees. Even though small companies are exempted from legal obligations to have a safety management system for accident prevention, we surveyed about safety management systems of those companies because of its crucial importance for accident prevention including whether they appointed safety managers and various supervisors. Awareness and efforts for safety of employers and employees were also measured. Results were analysed by the method of cross tabulation analysis. Main findings of this study are as follows. Most accident-occurred companies did not appoint any safety manager or supervisor. While it is recommended that the workplace of high accident rate have a safety manager. In addition, as less employers' effort for safety was made in accident-occurred companies in order to prevent accidents during press processing, the author proposes an amendment to the relevant law. Finally, the most referred reason for the negligence of hazard is the cumbersomeness in installing safeguards.

• Journal of the Korea Safety Management & Science
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• v.5 no.4
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• pp.187-194
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• 2003

The purpose of a man-machine chart is improved utilization of a man or a machine. Improved utilization can mean less idle time, rebalanced idle time, or less idle time of an excessive component. In this study we improved the productivity of the assembly line in the electronics company using man-machine chart. The results are applicable for improving the effectiveness of line balancing problems in the electronics industry.