• Title/Summary/Keyword: manufacturing worker

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Comparison of Recognition of Chemical Substances of Cosmetics Manufacturing Workers (화장품 제조업 근로자의 화학물질 인식도 비교)

  • Lee, Sangmin;Park, Keun Seop;Eoh, Won Souk
    • Journal of the Korean Society of Safety
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    • v.35 no.2
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    • pp.17-27
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    • 2020
  • To identify the relationship between types of employment(regular and non-regular group) and departments classification (administration, product and research group) and the levels of recognition of chemical substances, a total of 117 workers in cosmetics workplaces. Mainly, regular group and research group showed higher recognition of chemical substances (PPE, ventilation, chemical management, hazards in handling chemicals, skin contact) than non-regular group and administration, product group, but In some cases, production and administrative groups were high. Descriptive statistics(SAS ver9.2)was performed. the results of recognition of chemical substances were analyzed the mean and standard deviation by t-test, and anova, (P=0.05). These results cosmetics manufacturing workplaces have normal level of the perception of chemical substances. In most of the employment types, the regular workers showed high recognition, and the working departments showed high recognition in the research and production groups. Therefore, OEM and ODM cosmetics manufacturers regularly identify characteristics and needs of workplaces and workers, and suggest the development of experience and practiced education programs and risk assessment tools that can raise worker awareness.

Characteristics of Occupational Injuries in the Automobile Parts Manufacturing Industry

  • Yang, Seung Tae;Jeong, Byung Yong;Park, Myoung Hwan
    • Journal of the Ergonomics Society of Korea
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    • v.36 no.3
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    • pp.231-244
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    • 2017
  • Objective: This study aims to understand the occupational injury characteristics of the workers in the motor vehicle parts (automobile parts) manufacturing industry and to present basic guidelines on accident prevention through accident analysis. Background: There occur many occupational injuries in the motor vehicle parts manufacturing industry. But there were few researches for the occupational injuries of the workers in the motor vehicle parts manufacturing industry. Method: This study analyzed the data of occupational injuries of 1,609 workers in the motor vehicle parts manufacturing industry in 2015. The accident characteristics were analyzed by dividing them into worker related factors and accident related factors. Results: Among the occupational injuries of the workers in the motor vehicle parts manufacturing industry, 80.6% of the victims were males, 64.0% were older than 40. 57.8% of the victims were employed by the companies with less than 50 workers. In addition, there was a difference in accident characteristics according to age, work experience, employment type, events or exposures, accident time of the day, agents, natures of injuries and illnesses, injured organs and injured body part. Conclusion: It is important to prevent equipment/machinery accidents. For this purpose, more efforts should be made to establish safety measures faithful to the basics of safety devices and safety work procedures. It is also suggested that prevention of disasters should be intensively carried out for workplaces with less than 50 employees and middle-aged and elderly people. Application: The result can be used to present guidelines for preventative measures for the workers in the motor vehicle parts manufacturing industry including safety education/training.

Structural Change and Employment in Manufacturing Sector -Polarization by Firm Size- (제조업 고용구조변화의 특징 분석)

  • 고상원
    • Journal of Technology Innovation
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    • v.7 no.1
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    • pp.14-35
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    • 1999
  • This paper presents the relationship between the pace of structural change and the magnitude of employment growth in the manufacturing sector in OECD countries. To measure the pace of structural change, the compositional change index in value-added in manufacturing sector is introduced. For mid to long-term there seems to be a positive relationship between the pace of structural change and the magnitude of employment growth. In those countries with higher value of the compositional index, the employment growth in manufacturing sector was generally higher. To analyse the characteristics of structural change in manufacturing sector, this paper classifies manufacturing industries into groups: one based on technology, one on orientation, one on wages and one on skills. The international comparison of manufacturing sector's employment patterns based on above four classifications are presented. International comparison suggests that Korean manufacturing sector move into jobs with more skills and knowledge The structural change of SMEs and large firms are compared based on above four classification methods. It is shown that SMEs' employment in low value sectors, that is low-technology, labor-intensive, tow-wage, and unskilled sectors, have risen faster than SMEs' employment in high-technology, science-based, high-wage and skilled sectors. Large firms' employment have been mainly increased in high value sectors. However, the employment growth of both large and small firms have been concentrated on production worker-intensively-using sectors, i.e. unskilled sectors. This widened the wage differential of production workers by firm sizes and concurrently led to severe shortage of production workers for SMEs, which has little ability to pay high wage to production workers because they usually belong to low-wage sectors. Korea need to push SMEs forward to high value sectors. The premise of that is, however, to pull large firms out of production worker-intensively-using sectors.

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Worker utilization and productivity analysis using a 3D modeling technique (3D 모델링 기법을 이용한 작업자효율 및 생산성 분석)

  • 이수철;서승록;윤영수;양승렬
    • Proceedings of the Korea Society for Industrial Systems Conference
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    • 1999.12a
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    • pp.759-768
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    • 1999
  • In this paper, we developed a simulation model of a car parts assembly line to improve the system performance such as worker's utilization balancing, productivity. This simulation model has been developed using QUEST, a true 3D discrete event simulation pakcage that is designed for modeling and analysis of manufacturing systems. We have suggested the results obtained to improve the system performances of an existing production line.

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Safety Management Improvement Plan for Elevator Worker Safety Accident Prevention (승강기작업자 안전사고예방을 위한 안전관리 개선 방안)

  • Kim, Beom-Sang;Park, Poem
    • Journal of the Korea Safety Management & Science
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    • v.22 no.2
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    • pp.23-29
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    • 2020
  • Korea's elevator industry is one of the world's eighth-largest industrial sectors and the third largest in the world by new installations. This year, the number of elevators has exceeded 700,000, and the number of new installations is 30,000-40,000 every year. However, the news of elevator-related accidents is reported continuously through the media and the accident rate is not decreasing. In particular, among the recent accidents related to elevators, accidents related to elevator workers are increasing, causing social problems. This year, the National Assembly's Environmental Labor Relations Commission's National Auditors lost five lives a year and 12 elevator workers were killed in fall and stenosis accidents during the installation, maintenance and replacement of the elevators for about two years since 2018. It took place to adopt the representatives of four domestic elevator companies as witnesses. An elevator worker is a collective term for workers involved in the design, manufacturing, installation, replacement, maintenance, inspection, management, and supervision related to the elevator industry, and the related accidents are called elevator worker accidents. Analysis of elevator-related accidents in the past has shown that the fault of the user accounted for 70% of the total, and the fault of the worker accounted for about 2.5%, and the accident occurred to the user or the user due to carelessness of the worker during the lift-related work. Currently, elevator-related accidents are reported by the Korea Elevator Safety Agency under Article 48 of the Elevator Safety Management Act under the Ministry of Interior and Safety. If deemed necessary for the prevention and prevention of recurrence of an elevator accident, the cause and condition of the elevator accident may be investigated. However, the current draft law is limited only to elevators after installation inspection, and is separated from the Ministry of Employment and Labor's data on accidents occurring in the manufacturing and installation stages related to the elevator industry. This study analyzes the recent safety accidents of elevator workers and prepares safety measures to prevent them through the risk analysis, and also draws out the problems and improvements of the current elevator worker accident investigation to find the elevator worker accident rate that is on the increase trend.

A study on the advanced method of aging manufacturing factory (노후화된 제조공장의 고도화 방법에 관한 연구)

  • Kim, Jeong-Min;Jang, Jong-Wook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2018.10a
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    • pp.69-71
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    • 2018
  • Looking at Korea's manufacturing industry, there are many old manufacturing plants. In fact, the manufacturing process of the product inventory management and the unit price of the product are all created by using Excel, and the factory is operated by using it. Also, the operator can not predict the failure of the equipment in order to produce the product at work. Problems related to this may result in the loss of the documents during the instruction and work process between the manager and the worker, and the communication between the manager and the worker can not be properly performed, There is appear a situation in which the operation is continued by using the equipment without recognizing in the failure. In this paper, we propose a method for upgrading the aging manufacturing plant to improve the productivity and productivity of the product by predicting the efficient inventory management, unit price management, production volume, and the operator's failure prediction.

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Research on the HSE Application with Smart Device and Biometrics (스마트디바이스를 이용한 HSE 적용에 관한 연구)

  • Woo, Jong Hun
    • Korean Journal of Computational Design and Engineering
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    • v.19 no.2
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    • pp.157-168
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    • 2014
  • In this paper, HSE (Health and Safety Environments) research with smart device and biometrics is conducted for the worker's HSE enhancement in the manufacturing shop floor. Today, various kinds of smart devices are popularized extensively. In addition, the wearable type devices are being introduced such as google glass very recently. Smart device of werable type is exptected to bring great opportunity out in terms of HSE functionality. Smart devices of phone or tablet type are being used for on-line work between control center and manufacturing shop floor by virtue of wireless communication. However, those devices are not appropriate for detecting of worker's physical senses such as temperature and pulse. In this paper, we developed a glass type smart device and required funictions for HSE enhancement with the investigation of biometrics technology. Also, required sensors are investigated for the detecting of temperature, pulse and noxious gasses. Smart device of glass type has advantages in that most senses of personnel are gathered around faces, and also it's possible to detect neutral axis of body because the wearing location is fixed. We expect that the proposing HSE product of glass type smart device could contribute the enhancement of the HSE of manufacturing shop floor.

A Study on Anomaly Detection Model using Worker Access Log in Manufacturing Terminal PC (제조공정 단말PC 작업자 접속 로그를 통한 이상 징후 탐지 모델 연구)

  • Ahn, Jong-seong;Lee, Kyung-ho
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.2
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    • pp.321-330
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    • 2019
  • Prevention of corporate confidentiality leakage by insiders in enterprises is an essential task for the survival of enterprises. In order to prevent information leakage by insiders, companies have adopted security solutions, but there is a limit to effectively detect abnormal behavior of insiders with access privileges. In this study, we use the Unsupervised Learning algorithm of the machine learning technique to effectively and efficiently cluster the normal and abnormal access logs of the worker's work screen in the manufacturing information system, which includes the company's product manufacturing history and quality information. We propose an optimal feature selection model for anomaly detection by studying clustering methods.

Relationship between job stress and impaired fasting glucose in male steel industry workers: a cross-sectional study

  • Hyun-Kyo Lee;Inho Lee;Jisuk Yun;Yong-Jin Lee;Eun-Chul Jang;Young-Sun Min;Soon-Chan Kwon
    • Annals of Occupational and Environmental Medicine
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    • v.35
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    • pp.12.1-12.12
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    • 2023
  • Background: The purpose of this study is to investigate the relationship between job stress and impaired fasting glycemia (IFG) of male workers in a manufacturing industry. Methods: Data were collected from 5,886 male workers in a manufacturing industry who participated in the medical examination from June 19 to August 14, 2020 through self-reported questionnaires. The general characteristics of the subjects, shift work, high blood pressure, dyslipidemia, and job stress were included. Job stress was measured using the Korean Occupational Stress Scale (KOSS) consisting of 8 items and 43 questions. Multivariable logistic regression analysis was used to investigate the IFG association with job stress. Results: Among the various factors that can cause job stress, only high job demand was associated with a risk of IFG (odds ratio, 1.43; 95% confidence interval, 1.13-1.82) especially in non-shift worker. For all other factors, no statistically significant results were obtained. Conclusions: In this study of male workers engaged in the Korean steel manufacturing industry, the 'job demand' item among job stress of non-shift worker was related to IFG.

Design of AR based Job Education System for An Efficient Task Progressing of Worker (작업자의 효율적인 업무진행을 위한 AR 기반 업무 교육 시스템 설계)

  • Kwon, Hyuk;Kim, Sung-jin;Oh, Chang-heon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.805-807
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    • 2016
  • By using ICT in the manufacturing industry with the advent of "Industry 4.0" of Germany, it has been promoted a lot of research to maximize the production capacity. Be particularly increased manufacturing complexity, increase the information delivered to the operator, augmented reality technologies in order to maximize production have been studied. In this paper, in order to solve the deficiencies problem that frequently occurs in the actual site, using the augmented reality technology, provides a system for providing personal training information to the worker. Proposed system, by fusing worker information and process another job, generates educational information of the individual, it is to provide information through the video of the tablet. When using such methods, it is expected that it is possible to improve the production quality of the manufacturing industry to overcome the deficiencies problem that frequently occurs through the continuing education of employees.

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