• Title/Summary/Keyword: factory manufacturing

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A Study on the Wear Monitoring Technique for Diamond Core Drill (다이아몬드 코어 드릴의 마멸 검출에 관한 연구)

  • 유봉환
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.4 no.2
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    • pp.38-45
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    • 1995
  • The diagnosis and monitoring system of abnormal cutting condition is necessary to realize precision machining proces and factory automation, which are final goal of metal cutting in order to develop this system, theimage processing technique has been investigated in machining process. In theis paper, the measurement system of tool wear using computer vision is designed to detect the wear pattern by non-contact and direct method and get the realiable wear information about cutting tool. We measured the area of the side and front part of the diamond core dril which is used in 40kHz ultrasonic vibration machine.

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공정계획 및 일정계획 통합을 위한 가상 생산 시스템

  • 박지형;염기원
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1995.10a
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    • pp.885-888
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    • 1995
  • Virtual Manufacturing System(VMS) is a computer model that represents the precise and whole structure of manufacturing system and simulates their physical and logical behavior in operation. In this paper, a real time simulation for the virtual factory is proposed to integrate a process planning with scheduling under distributed environments. In order to communicate the information under distributed environment, weuse a sever/client concept and socket program. the VMS is implemented on the internet environment.

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A Simulation Modeling and Analysis of Capital Investment using AIM (AIM을 이용한 염색/가공 설비 투자 분석 시뮬레이션)

  • 최성훈
    • Journal of the Korea Society for Simulation
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    • v.4 no.1
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    • pp.87-97
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    • 1995
  • Simulation techniques are used to improve the productivity of a textile factory. A simulation model is developed for the analysis of investment for dyeing process equipment, such as dryers and bleachers. For modeling and analysis, AIM (Analyzer for Improving Manufacturing) is used. AIM is a manufacturing oriented simulation software developed by Pritsker Corp. AIM provides interactive model building and simulation, automatic animation, and powerful graphic outputs. thereby, drastically reducing modeling efforts and also enhancing communication capabilities.

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The automatic tire classfying vision system for real time processing (실시간 처리를 위한 타이어 자동 선별 비젼 시스템)

  • 박귀태;김진헌;정순원;송승철
    • 제어로봇시스템학회:학술대회논문집
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    • 1992.10a
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    • pp.358-363
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    • 1992
  • The tire manufacturing process demands classification of tire types when the tires are transferred between the inner processes. Though most processes are being well automated, the classification relies greatly upon the visual inspection of humen. This has been an obstacle to the factory automation of tire manufacturing companies. This paper proposes an effective vision systems which can be usefully applied to the tire classification process in real time. The system adopts a parallel architecture using multiple transputers and contains the algorithms of preprocesssing for character recognition. The system can be easily expandable to manipulate the large data that can be processed seperately.

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A Study on the Establishment of Management Methods about Occupational Dermatoses (직업성 피부질환에 대한 현황 파악 및 관리 대책 수립을 위한 연구)

  • Lim, Hyun-Sul;Cheong, Hae-Kwan;Choi, Byung-Soon;Kim, Ji-Yong;Sung, Yeol-Oh;Kim, Yang-Ho
    • Journal of Preventive Medicine and Public Health
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    • v.29 no.3 s.54
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    • pp.617-637
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    • 1996
  • Occupational dermatosis is one of the most prevalent occupational disorders. However, the extent of the occupational dermatoses including incidences and prevalencies of each disease entity, and etiologic materials are not yet welt stated in Korea. Authors reviewed the literatures on the statistic data and reports on the occupational dermatoses, and surveyed on the occupational dermatoses in two factories, and surveyed the physicians responsible to the occupational dermatoses with formed questionnaire. The results are as follows; 1. Among medical journals published since 1964, there were 31 articles on the occupational dermatoses. Of 31 articles, 18 were case reports and all others were review articles. Of 18 case reports, 9 were epidemiologic survey. The Workers' Periodic Health Examinations revealed that prevalence of the occupational dermatoses was highest(4.36 per 10,000 workers) in 1974, but number of the cases reported were decreased sharply since 1978 with some tendency to increase since 1981. There were 2,240 reported cases of occupational dermatoses between 1966 and 1992, which is 1.90% of all the reported occupational diseases. Skin infection and injuries due to chemicals were most frequent and there were 6 cases of skin cancer. 2. In an epidemiological survey on the dermatoses among 995 workers in a metal product manufacturing factory and 225 workers in a coal chemical factory, there were 794 with dermatomycosis, 296 workers with acne, 130 workers with scar, 123 workers with deformity of toe nails. Scars, photosensitivity dermatitis, deformity of finger and toe nails, and acne were more prevalent in the metal product manufacturing factory(p<0.05). In the metal prouct manufacturing factory, workers treating organic solvents and oils had more dermatoses than those without treating the materials(p<0.05). On the skin patch performed on 16 workers in the metal product manufacturing factory, there were 8 cases of irritation dermatitis and 5 cases of contact dermatitis. Prevalence of contact dermatitis in the metal product manufacturing factory was 1.3%. 3. On the questionnaire survey, 34 dermatologists, 29 doctors of preventive medicine, and 22 family physician replied. The proportion of occupational etiology among all dermatoses assumed by the physicians were below 9%, and the most important occupational dermatosis in Korea was contact dermatitis. Main etiologic materials related to the occupational dermatosis were organic solvent, acid and alkali, and metals. The reason for the scarcity of report of occupational dermatoses were difficulty in diagnosis and physician's ignorance of the occupational etiology. They replied that to prevent the occupational dermatoses in the workplace, the use of protective devices was most important, and development of diagnostic criteria on the occupational dermatoses is urgent. Above results shows us that there is many workers with occupational dermatoses, but they are mostly unreported. Measures to prevent and manage the occupational dermatoses are not satisfactory at present. Hence, authors suggest measures for the precise diagnosis, report and prevention of the occupational dermatoses. a. Dermatologist, preventive physician, and industrial hygienist should work as a team to examine the high risk group and establish the preventive measures. b. Disease entities, diagnostic criteria of occupational dermatoses should be listed, criteria for the compensation and job fitting at recruitment should be established, and manual for the proper treatment and effective prevention of each occupational dermatosis should be developed. c. Patch test antigens against each occupational category should be developed and it should be available to any physicians responsible. d. To facilitate the diagnosis of occupational dermatoses by the doctors responsible for the Workersr Periodic Health Examination, development of standardized questionnaire, education on the techniques of the patch test, and cooperation with the dermatologist in diagnosis of occupational dermatoses is essential.

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The Effect of Corporate Competency on Smart Factory Acceptance Intention and Management Performance -moderating effect of regional characteristics- (기업역량이 스마트 팩토리 수용의도 및 경영성과에 미치는 영향 -지역특성을 조절변수로-)

  • Kim, Sang-Moon;You, Yen-Yoo
    • Journal of Digital Convergence
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    • v.18 no.9
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    • pp.125-133
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    • 2020
  • This study confirms the impact relationship between the president and employee competency related to smart factory construction of manufacturing SMEs, the acceptance intention and management performance in smart factory construction. The 310 data collected through a questionnaire were tested for research hypotheses through SEM. As a result, the president and employee competency affects the smart factory acceptance intention and the employee competency affects the management performance. Acceptance intention has a positive impact on management performance. Regional characteristics have a moderating effect on the relationship between president competency, acceptance intention, and management performance. Through this study, it was confirmed that the president and employee competency was an important factor in smart factory built.

The necessity of Smart Factory's Standards and Certification System Based on Grounded theory (근거이론에 의한 스마트공장 표준 및 인증제도 도입 필요성)

  • Shin, Jong-Chang;Kim, Kyung-Ihl
    • Journal of Convergence for Information Technology
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    • v.8 no.2
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    • pp.203-208
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    • 2018
  • This study is concerned with the introduction and operation of smart factories. In order to accomplish the purpose of research, we made a standard system of smart factory and investigated the recognition system. This study was conducted as a grounded theory methodology among qualitative research methodologies. The results of the study are the necessity of a tool to appropriately evaluate the new manufacturing process management system and related management activities to achieve the successful introduction of smart factories and the management performance of the organization. In order to successfully implement the Smart Factory Certification System, it is necessary to establish a certification organization system, enact relevant laws and amendments, operate government-led pilot projects, train professional workers, and establish incentive policies.

Proposal of a Factory Energy Management Method Using Electric Vehicle Batteries (전기자동차 배터리를 활용한 공장의 에너지 관리 방안 제안)

  • Nam-Gi Park;Seok-Ju Lee;Byeong-Soo Go;Minh-Chau Dinh;Jun-Yeop Lee;Minwon Park
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.3
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    • pp.67-77
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    • 2024
  • Increasing energy efficiency in factories is an activity aimed at optimizing resource allocation in manufacturing processes to establish production plans. However, this strategy may not apply effectively when night shifts are unavoidable. Additionally, continuous fluctuations in production requirements pose challenges for its implementation in the factory. Recently, with the rapid proliferation of electric vehicles (EVs), technology utilizing electric vehicle batteries as energy storage systems has gained attention. Technology using these batteries can be an alternative for factory energy management. In this paper, a factory energy management method using EV batteries is proposed. The proposed method is analyzed using PSCAD/EMTDC software, considering the state of charge of EV batteries and Time-of-Use (TOU) rates. The proposed method was compared with production scheduling established considering predicted power usage and TOU rates. As a result, production scheduling saved 4,152 KRW per day, while the proposed method saved 7,286 KRW in electricity costs. Through this paper, the possibility of utilizing EV batteries for factory energy management has been demonstrated.

Research on Cybersecurity Risk Management System in Smart Factory Environment (스마트팩토리 환경의 사이버보안 리스크 관리 체계 연구)

  • YoungSun Shin
    • Journal of Korea Society of Industrial Information Systems
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    • v.29 no.4
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    • pp.43-54
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    • 2024
  • This study presented a cybersecurity risk management system in a smart factory environment. A smart factory refers to a factory that optimizes the production system and increases efficiency. However, this digitized environment is vulnerable to cyber attacks, and manufacturing companies can suffer serious damage from disruptions in production systems or information leaks. Therefore, a systematic approach to effectively managing cyber security risks is essential in smart factories. In this study, a continuous security risk management system for each stage of the smart factory was proposed along with business process-based security risk assessment. These studies will help to further improve cybersecurity risk management in smart factories. It will also play an important role in ensuring that smart factories operate safely and efficiently.

Development of integrated scheduling system for virtual manufacturing system

  • Roh, Kyoungyun;Noh, Sangdo;Lee, Kyoil
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.354-357
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    • 1996
  • Virtual Manufacturing System(VMS) is an integrated computer based model which has physical, logical schema and behavior of real manufacturing system. In this paper, an integrated scheduling system is developed to simulate and control a Virtual Factory. A workflow model is constructed to define and analyze the structure of a VMS. On-line dynamic dispatching system is developed using MultiPass algorithm and scheduling system considering dynamic CAPP is carried out. Integrated scheduling system developed in this paper reduces the discrepancies between virtual model and real manufacturing system, and control of real shop floor is possible.

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