• Title/Summary/Keyword: Factory worker

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A Study for Human-Error Prevention of Chemical Plant Safety Accident (Chemical 공장 안전사고의 Human-Error 방지에 대한 연구)

  • 윤용구;홍성만;박범
    • Journal of the Korea Safety Management & Science
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    • v.6 no.2
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    • pp.1-9
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    • 2004
  • The chemical factory deals with dangerous element and more advance, human-error analyzes and becomes effective research for the country and region. This paper analysis the form of work-miss on human-error according to a safety accident for domestic chemical factory from 1999-2002. It include the present contents and raise issues human knowledge, behavior, judgment, sensibility as an important counter plan that makes the safety solution of work miss. For the point of view of human knowledge, it takes color standard for works to be effective in work place. For behavior, the test has been for risk Point of work place and infra worker movement, also the workers performed professional work as classify according to work. For judgement, the valuation sheet is reflected to minimize the human-error and the 3rd supervisor does a cross-check audit beforehand. For sensibility, it is applicable for human relations, information, communication by program to the consciousness and an attitude of worker-supervisor.

Design for a Hybrid System of Integration Kanban with MRPII

  • Song, Tae-Yeng;Jung, Seong-Won;Cao, Cheng-Xuan;Park, Jin-Woo
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.280-287
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    • 2001
  • There have been some studies about hybrid production system, which integrate push system and pull system. Most of them are based on the simple production system considering one product line. Though there are many studies about hybrid production system, it\`s not practical to implement them for real factory, because most of them did not consider various factors about real factory. On this study we designed hybrid production system considering some factor - one is automatic kanban generation, the other is dispatching rule for Multi-tasking worker, and the last one is the priority of kanban. At last, We give simulation results fur a real company, which produce various cameras in Korea.

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A Study for Human-Error Prevention of Chemical Plant Safety Accident (Chemical 공장 안전사고에 Human-Error 방지에 대한 연구)

  • 윤용구;홍성만;박범
    • Proceedings of the Safety Management and Science Conference
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    • 2004.05a
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    • pp.33-39
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    • 2004
  • The chemical factory deals with dangerous element and more advance, human-error analyzes and becomes effective research for the country and region, this paper analyes the form of work-miss on human-error according to a safety accident for domestic chemical factory from 1999-2002. It include the present contents and raise issues human knowledge, behavior, judgment, sensibility as an important counterplan that makes the safety solution of work miss. For the point of view of human knowledge, it takes color standard for works to be effective in work place. for behavior, the test has been for risk point of work place and infra worker movement, also the workers performed professional work as classify according to work. for judgement, the valuation sheet is reflected to minimize the human -error and the 3rd supervisor does a cross-check audit beforehand. For sensibility, it is applicable for human relations, information, communication by program to the consciousness and an attitude of worker-supervisor.

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An Ergonomic Approach for Improving the Workplace of an Air-conditioner Factory (에어컨 공장의 인간공학적 개선에 관한 연구)

  • 정병용;이재득;양계령
    • Journal of the Korea Safety Management & Science
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    • v.5 no.3
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    • pp.99-106
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    • 2003
  • This study concerns with an ergonomic approach for improving the workplace of an air-conditioner factory. If work tasks and equipments do not include ergonomic principles in their design, workers may have exposure to undue physical stress, strain, and overexertion, including awkward postures, forceful exertions, repetitive motion, and heavy lifting. The purpose of this study is to improve the safety, comfort, and efficiency of the workplace. Adapting tasks, work stations, tools, and equipments to fit the worker can help reduce physical stress on a worker's body and enhance the effectiveness and efficiency of workplace.

A study of the guide of activity promotion for small group in factory (소집단분임조활동의 활성화방안에 관한 소고 -공장 새마을운동, TQC활동 및 물자절약과 에너지 절감을 중심으로-)

  • 신용백
    • Journal of the Korean Professional Engineers Association
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    • v.17 no.4
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    • pp.40-49
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    • 1984
  • The first national QC Circle Convention sponsored by Industry Advancement Administration in 1975 was the beginning of employees group activity from a national point of view. Subsequently some events such as the firs Nationwide Factory Seamaul activity small Group Convention, which was supervised by the ministry of Trading and Industry and Factory Seamaulundong promotion Center, paved the way for proliferation of the group activity through all kinds of manufacturing. Although since November 1982 these two conventions has been united, many problems have been disclosed that are against the basic principles more or less. Worker's group activity is, essentially, a trouble shooting oriented voluntary small group within their working place to improve the surroundings creatively. In practice, however, many groups are so typical and so impetuous of the material effect that it is worried to be inclined to outform rather than contents. To prevent this point it is recommended that worker's group activity be promoted continuously and on the basis of the original principle of small group activity to obtain practical and rich results, and systematically to be more effective and active considering the managerial environment and the intellectual level of the consisting members.

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The Design of Smart Factory System using AI Edge Device (AI 엣지 디바이스를 이용한 스마트 팩토리 시스템 설계)

  • Han, Seong-Il;Lee, Dae-Sik;Han, Ji-Hwan;Shin, Han Jae
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.15 no.4
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    • pp.257-270
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    • 2022
  • In this paper, we design a smart factory risk improvement system and risk improvement method using AI edge devices. The smart factory risk improvement system collects, analyzes, prevents, and promptly responds to the worker's work performance process in the smart factory using AI edge devices, and can reduce the risk that may occur during work with improving the defect rate when workers perfom jobs. In particular, based on worker image information, worker biometric information, equipment operation information, and quality information of manufactured products, it is possible to set an abnormal risk condition, and it is possible to improve the risk so that the work is efficient and for the accurate performance. In addition, all data collected from cameras and IoT sensors inside the smart factory are processed by the AI edge device instead of all data being sent to the cloud, and only necessary data can be transmitted to the cloud, so the processing speed is fast and it has the advantage that security problems are low. Additionally, the use of AI edge devices has the advantage of reducing of data communication costs and the costs of data transmission bandwidth acquisition due to decrease of the amount of data transmission to the cloud.

Characterization and Evaluation of Worker s Exposure to Airborne Glass Fibers in Glass Wool Manufacturing Industry (유리섬유 단열재 제조업 근로자의 공기중 유리섬유 폭로 특성 및 평가 방법에 관한 연구)

  • 신용철;이광용;박천재;이나루;정동인;오세민
    • Journal of Environmental Health Sciences
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    • v.22 no.2
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    • pp.43-57
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    • 1996
  • To characterize worker's exposure to glass fibers, to find the correlation between airborne total dust concentrations and fiber concentrations and to recommend an appropriate evaluation method for worker's exposure to fibrous dusts in glass wool industry, we carried out this study. Average respirable fiber levels at five factories were 0.013-0.056 f/cc, and fairly below the OSHA PEL, 1 f/cc. A factory showed the lowest airborne fiber level, 0.013 f/cc, which was different significantly from those of other factories of which average fiber concentration was 0.046 f/cc. The cutting and grinding operations of insulation products resulted in higher airborne fiber cocentrations than any other processes(p<0.05). To characterize airborne fiber dimension, fiber length and diamter were determined using phase contrast microscope. The geometric means of airborne fiber lengths were $42-105 \mu m$. One factory had airborne fibers whose length distribution(GM = $105 \mu m$) was different from those of other factories(GM = $42-50 \mu m$). The percentages of respirable fibers less thinner than 3 gm were 38.9-90.9% at four factories, and two factories of them had the higher percentages than others. The findings explain for variation of airborne fiber diameters between factories. On the other hand, between the processes were the difference of fiber-length distributions observed. The cutting and grinding operations showed shorter fiber-length distributions than the fiber forming one. However, fiber-diameter distributions or respirable fiber contents were similar in all processes. The airborne fiber concentrations and the dust concentrations had relatively weak correlation(r=0.25), thus number of fibers couldn't be expected reliably from dust amount. Fiber count is appropriate for assessing accurate exposures and health effects caused by fibrous dusts including glass fibers. Ministry of Labor have established occupational exposure limit to glass fibers as nuisiance dust, but should establish it on the basis of respirable fiber concentration to provide adequate protection for worker's health

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Man-Machine Interface Device for Dismantling Factory

  • Yi, Hwa-Cho;Park, Jung-Whan;Park, Myon Woong;Nam, Taek-Jun
    • Clean Technology
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    • v.23 no.3
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    • pp.248-255
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    • 2017
  • In dismantling factories for recycling, it is important to input actual working data to a personal computer (PC) in order to monitor the work results and related recycling rate of the inputs. This should be performed with a keyboard, a mouse, or other devices. But when a worker is working in the factory, it could be bothersome or time consuming to go to the PC. Especially, workers who works at dismantling factories have a generally low education level are scared to use a PC, which could be used as a pretext for not using the PC. In some cases, data input is performed by a worker after the day's job. In this case, it could take additional time, the worker can make more mistakes, and the data could be unreliable. In this study, we developed a man-machine interface (MMI) device using a safety helmet. A joystick-like device, pushbuttons, and a radio frequency (RF) device for wireless communication is equipped in a safety helmet. This MMI device has functions similar to a PC mouse, and it has a long communication distance. RF is used because it consumes less battery power than Bluetooth. With this MMI device, workers need not go to a PC to input data or to control the PC, and they can control the PC from a long distance. The efficiency of PCs in a factory could be increased by using the developed MMI system, and workers at the dismantling factories could have less reluctance in using the PC.

Design and implementation of IoT platform for collecting and managing the SmartFactory environment information

  • Kim, SungJin;Ra, SangYong;Kim, HwanSeog;Choi, JaeHong;Lee, JunDong
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.6
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    • pp.109-115
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    • 2019
  • Smart Factory is a part of and a key point of the 4th industrial revolution. It performs optimization from the whole viewpoint, using comprehensive data of the post-process data by utilizing various sensors, controllers, and mobile devices beyond the existing factory automation level. In this paper, we design and implement an IoT platform that can detect the safety factors of the workers, the environmental factors of the factory, and real time monitoring at the control center, among the fields to implement smart factory. To accomplish this, we construct a monitoring device that provides sensor information control, server transmission of sensor information, and visualization of collected information. By using this system, it is possible to maintain the temperature and humidity for the optimum working environment in the factory. and also, By using the beacon, it is possible to measure the working time of the worker and trace the position.

Smart Factory Platform based on Multi-Touch and Image Recognition Technologies (멀티터치 기술과 영상인식 기술 기반의 스마트 팩토리 플랫폼)

  • Hong, Yo-Hoon;Song, Seung-June;Jang, Kwang-Mun;Rho, Jungkyu
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.1
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    • pp.23-28
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    • 2018
  • In this work, we developed a platform that can monitor status and manage events of factory workplaces by providing events and data collected from various types of multi-touch technology based sensors installed in the workplace. By using the image recognition technology, faces of the people in the factory workplace are recognized and the customized contents for each worker are provided, and security of contents is enhanced by the authenticating an individual worker through face recognition. Contents control function through gesture recognition is constructed, so that workers can easily search documents. Also, it is possible to provide contents for workers by implementing face recognition function in mobile devices. The result of this work can be used to improve workplace safety, convenience of workers, contents security and can be utilized as a base technology for future smart factory construction.