• Title/Summary/Keyword: factory manufacturing

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$C^{++}$과 신경망을 이용한 In-process 감시 시스템의 구축 (Construction of In-process Monitoring System using $C^{++}$ and Neural network)

  • 조종래;정윤교
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 추계학술대회 논문집
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    • pp.95-98
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    • 2002
  • Monitoring of the cutting trouble is necessarily required to do Factory Automation and Intelligent manufacturing system. Therefore, we constructed a monitoring system using neural network in order to monitor of the cutting trouble. From obtained result, it is shown that the cutting trouble can be monitored effectively by neural network

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

  • 김정민;장종욱
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2018년도 추계학술대회
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    • pp.69-71
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    • 2018
  • 대한민국의 제조 산업을 둘러보면 현재 노후화된 제조 공장이 많다. 실제로 제조 공장에서 제품의 재고관리나 제품의 단가 관리 등을 전부 엑셀을 만들어 수기로 작성하거나 그것을 이용하여 공장을 운영 하고 있다. 또한 작업자가 작업 시 해당 제품을 만들기 위해 설비에 대해 고장을 예측 할 수가 없다. 이에 관한 문제점으로 관리자 및 작업자 사이의 지시 및 작업 과정에서 해당 문서가 손실 될 수 있으며 관리자와 작업자의 의사소통이 제대로 되지 않아 재고관리나 해당 지시한 작업에 대해 제대로 작업량을 채우지 못하고 또한 작업자가 해당 설비에 대해 고장을 인지하지 못하고 그 설비를 계속 사용하여 작업을 진행하는 상황이 발생한다. 이에 따라 효율적인 재고관리와 단가관리, 생산량 파악 및 작업자의 해당 설비의 고장예지를 미리 예측하여 제품의 생산성 및 생산량을 높이기 위해 본 연구인 노후화 된 제조공장의 고도화 방법에 관한 연구를 진행 해보자 한다.

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경영자를 위한 스마트팩토리 구축 로드맵 설계 및 활용 (Designing and Utilizing a Smart Factory Roadmap for CEOs: Leveraging from University-Industry Research Collaboration)

  • 박종필
    • 한국산업융합학회 논문집
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    • 제21권6호
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    • pp.285-299
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    • 2018
  • Recently much attention in building smart factory has been dramatically increased. Despite the growing interest in smart factory, few practical guidelines exist how to successfully build smart factory. The purpose of this study is to postulate and develop a road map for building successful smart factory. To enhance mundane realism, we design the road map through University-Industry research collaboration. Specifically, drawing analysis of University-Industry research collaboration, we design a prototype and detailed road map or building successful smart factory. Moreover, we apply the road map into actual smart factory development. By doing so, we successfully prove the effectiveness of the road map. Therefore, this study provides the valuable guidelines and directions to build a successful smart factory. Ultimately this study is able to help a variety of factories which establish and implement smart factory. Further, we hope that this study will be placed to be an important foundation research on behalf of smart factory building.

제조업 특성을 반영한 스마트공장 진단모델 개발 및 중소기업 맞춤형 적용사례 (Development of Smart Factory Diagnostic Model Reflecting Manufacturing Characteristics and Customized Application of Small and Medium Enterprises)

  • 김현득;김동민;이경근;윤제환;염세경
    • 산업경영시스템학회지
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    • 제42권3호
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    • pp.25-38
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    • 2019
  • This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

뿌리업종 중견중소기업의 설비 AI 플랫폼 구축에 관한 사례연구 (Case Study on the Implementation of Facility AI Platform for Small and Medium Enterprises of Korean Root Industry)

  • 이병구;문태수
    • 한국정보시스템학회지:정보시스템연구
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    • 제32권3호
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    • pp.205-224
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    • 2023
  • Purpose This study investigates the impact of organizational characteristics on organizational performance through case studies of smart factory implementation in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study adopts the smart factory index of KOSMO (Korea Smart Manufacturing Office) established by Korean Ministry of SMEs and Startups. We visited 3 firms implemented smart factory projects. This study presents the results of field study in detail with evaluation criteria on how organizational competences like AI technology adoption and facility automation can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach There are not so many results of empirical studies related to smart factories in Korea. This is because organizational support and user involvement are required for facility AI platform service beyond factory automation after the start of the 4th Industrial Revolution. Korean government's KOSMO (Korean Smart Manufacturing Office) has developed and proposed a level measurement index for smart factory implementation. This study conducts case studies based on the level measurement method proposed by KOSMO in the process of conducting case studies of three companies belonging to the root and mechanic industries in Korea. Findings The findings indicate that organizational competences, such as facility AI platform adoption and user involvement, are antecedents to influence smart factory implementation, while smart factory implementation has significant relationship with organizational performance. This study provides a better understanding of the connection between organizational competences and organizational performance through smart factory case studies. This study suggests that SMEs should focus on enhancing their organizational competences for improving organizational performance through implementing smart factory projects.

소프트웨어 개발 관점에서 본 쉘 콘트롤러의 설계

  • 박경진;도성희;이재명;정병수;강무진
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2001년도 추계학술대회 논문집
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    • pp.291-296
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    • 2001
  • The computerized automation of modern manufacturing system is tremendously important for the cost reduction. Recently, the automation is being realized by Computer Integrated Manufacturing (CIM) concept and the unmanned factory is the final goal of the automation. The automation of the low level of factory is the most crucial and difficult aspect in total CIM environment since various machines are involved. A cell is defined as a manufacturing group of closely related machineries in the entire factory hierarchy, The management scheme for a cell controller is defined from the software viewpoint. The domain of a cell is designed with tasks(processes) in a multiple-task operating system. The operation of the cell is established by defining schemes for overall control of the cell domain, databases, job scheduling, communications within the domain, user-interface and communications with outside machines. Although the software is developed in a specific operating system and WINDOW facilities, the operating strategies can be applied globally.

An Autonomous Operational Service System for Machine Vision-based Inspection towards Smart Factory of Manufacturing Multi-wire Harnesses

  • Seung Beom, Hong;Kyou Ho, Lee
    • Journal of information and communication convergence engineering
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    • 제20권4호
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    • pp.317-325
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    • 2022
  • In this study, we propose a technological system designed to provide machine vision-based automatic inspection and autonomous operation services for an entire process related to product inspection in wire harness manufacturing. The smart factory paradigm is a valuable and necessary goal, small companies may encounter steep barriers to entry. Therefore, the best approach is to develop towards this approach gradually in stages starting with the relatively simple improvement to manufacturing processes, such as replacing manual quality assurance stages with machine vision-based inspection. In this study, we consider design issues of a system based on the proposed technology and describe an experimental implementation. In addition, we evaluated the implementation of the proposed technology. The test results show that the adoption of the proposed machine vision-based automatic inspection and operation service system for multi-wire harness production may be considered justified, and the effectiveness of the proposed technology was verified.

OPC UA 기반 스마트팩토리 디지털 트윈 테스트베드 시스템 개발 (Development of OPC UA based Smart Factory Digital Twin Testbed System)

  • 김재성;정석찬;서동우;김대기
    • 한국멀티미디어학회논문지
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    • 제25권8호
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    • pp.1085-1096
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    • 2022
  • The manufacturing industry is continuously pursuing advanced technology and smartization as it converges with innovative technology. Improvement of manufacturing productivity is achieved by monitoring, analyzing, and controlling the facilities and processes of the manufacturing site in real time through a network. In this paper, we proposed a new OPC-UA based digital twin model for smart factory facilities. A testbed system for USB flash drive packaging facility was implemented based on the proposed digital twin model and OPC-UA data communication scheme. Through OPC-UA based digital twin model, equipment and process status information is transmitted and received from PLC to monitoring and control 3D digital models and physical models in real time. The usefulness of the developed digital twin testbed system was evaluated through usability test.

미래 제조시스템 성숙도평가 프레임워크 (Framework for Assessing Maturity of Future Manufacturing System)

  • 이정철;장태우;박종경;황규선
    • 한국전자거래학회지
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    • 제24권2호
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    • pp.165-178
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    • 2019
  • 스마트공장 등으로 변화하는 경쟁 환경 속에서 제조시스템의 현 수준을 측정하고 개선 목표와 과제를 도출, 추진하여 제조경쟁력의 수준을 높이는 것이 기업의 기본적 활동이 되고 있다. 그러나 기업의 미래 제조경쟁력을 갖추기 위한 구성요소 분석과 성숙도평가에 관한 연구는 부분적으로 진행되고 있고 초기단계에 있다. 본 연구는 제조시스템에 대한 다양한 관점의 모델, 개발프로세스, 프레임워크 등에 대한 기존 연구를 분석하였다. 또한 스마트공장 관련 성숙도평가 연구들을 통해 미래 제조시스템의 구성요소들을 도출하여 구조모델을 설계하였다. 평가모델, 변환모델까지 포함하는 메타모델을 설계하고 프레임워크 개발 프로세스를 도출하여 미래 제조시스템의 성숙도평가를 위한 통합적 프레임워크를 제안하였다. 또한 실제 스마트공장 평가에 적용하여 검증하였다. 제시된 프레임워크는 미래 제조시스템의 성숙도평가를 위한 기반 도구로 활용될 수 있을 것이다.

DEVELOPMENT OF A VIRTUAL FORGING FACTORY FRAMEWORK

  • Kao Yung-Chou;Sung Wen-Hsu;Huang Wei-Shin
    • 한국소성가공학회:학술대회논문집
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    • 한국소성가공학회 2003년도 The 8th Asian Symposium on Precision Forging ASPF
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    • pp.115-122
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    • 2003
  • This paper presents the development of a virtual forging factory framework. The technologies of virtual reality and relational database had been integrated in the developed framework using Microsoft $Windows^{(R)}$ programming as the main technique so as to emulate a physical forging factory. The developed virtual forging factory consists of forging cells and a forging cell is comprised of forging machine, forging die, and forging operations forming a forging production line. The technology of virtual reality had been successfully adopted in the production simulation of manufacturing such as CNC and robotics. However, the application in virtual forging factory seems to have not been studied yet. Potential application of a virtual forging factory can be beneficial to (1) computer aided instruction, (2) shorten the learning curve of a novice, (3) remote diagnosis and monitoring when remote monitoring and control technology and signal inspection is considered, (4) improve adverse forging environment when remote forging technology is applied, and (5) virtual reality application.

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