• Title/Summary/Keyword: 스마트팩토리

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Status of Satisfaction with Settlement Conditions and Residential Environment of Chungnam-do Residents (충남도민의 정주여건 거주환경의 만족도 현황)

  • Lim, Sang-Ho
    • Industry Promotion Research
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    • v.6 no.4
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    • pp.23-30
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    • 2021
  • This study is a study on the satisfaction of the living conditions of the residents of Chungcheongnam-do, and the analysis data was based on the results of the Chungcheongnam-do social survey conducted in 2020 by Statistics Korea. The results of the analysis on the satisfaction of the living conditions of the residents of Chungnam Province are summarized as follows. The level of satisfaction with the quality of life of the living environment, which is a personal characteristic, was 5.92 out of 10 for the degree of satisfaction with one's life, and 6.28 out of 10 for the overall value of the work one is doing. The overall life satisfaction of the region (city and gun) was analyzed as 5.81 out of 10, indicating that the satisfaction of Chungnam residents was more than average. In addition, satisfaction with the residential housing environment was analyzed with the highest frequency and ratio of 43.5%, with 226 people being slightly satisfied. Satisfaction with facility use was also slightly higher in 231 people, showing 44.5% response rate, and slightly higher in women than in men. This study is meaningful in that it provides basic data such as policy implications for improving the quality of life by grasping the social interests related to the quality of life and the subjective consciousness of the people of Chungnam.

Project Management for the Productivity Improvement of Small and Medium-sized Enterprises (SMEs): Industrial Machinery and Equipment Manufacturing Enterprises (중소기업 생산성 향상을 위한 기계설비 제작 프로젝트 관리: 산업기계설비 제조기업을 중심으로)

  • Song, Youngmin;Jeong, Jongpil;Park, Byungjun
    • KIPS Transactions on Software and Data Engineering
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    • v.8 no.1
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    • pp.1-12
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    • 2019
  • In this paper, it was found that most of the machinery facilities problems generated by clients could be prevented in advance by systematically managing the mechanical equipment production process of small and medium enterprises (SMEs) that produce machinery facilities. Major point of this process is to establish an operating system that corresponds to reality of facility manufacturers as it represents 63% of machinery facilities problems that occur in customers and is a task that needs to be solved most intensively. Technical issues account for 23% of machinery facilities problems occurring at the client's companies and should be approached from a long-term perspective as they are directly related to the technical capabilities of the manufacturers. Organizational problems account for 14% of machinery facilities problems occurring in customer companies, and can change depending on the relationship of members and the nature of the human being, such as morality and motivation. In addition, we propose the establishment of an Internet-based production process management platform for smooth and efficient transfer of information between customers and machinery facilities manufacturers.

A Novel Reference Model for Cloud Manufacturing CPS Platform Based on oneM2M Standard (제조 클라우드 CPS를 위한 oneM2M 기반의 플랫폼 참조 모델)

  • Yun, Seongjin;Kim, Hanjin;Shin, Hyeonyeop;Chin, Hoe Seung;Kim, Won-Tae
    • KIPS Transactions on Computer and Communication Systems
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    • v.8 no.2
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    • pp.41-56
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    • 2019
  • Cloud manufacturing is a new concept of manufacturing process that works like a single factory with connected multiple factories. The cloud manufacturing system is a kind of large-scale CPS that produces products through the collaboration of distributed manufacturing facilities based on technologies such as cloud computing, IoT, and virtualization. It utilizes diverse and distributed facilities based on centralized information systems, which allows flexible composition user-centric and service-oriented large-scale systems. However, the cloud manufacturing system is composed of a large number of highly heterogeneous subsystems. It has difficulties in interconnection, data exchange, information processing, and system verification for system construction. In this paper, we derive the user requirements of various aspects of the cloud manufacturing system, such as functional, human, trustworthiness, timing, data and composition, based on the CPS Framework, which is the analysis methodology for CPS. Next, by analyzing the user requirements we define the system requirements including scalability, composability, interactivity, dependability, timing, interoperability and intelligence. We map the defined CPS system requirements to the requirements of oneM2M, which is the platform standard for IoT, so that the support of the system requirements at the level of the IoT platform is verified through Mobius, which is the implementation of oneM2M standard. Analyzing the verification result, finally, we propose a large-scale cloud manufacturing platform based on oneM2M that can meet the cloud manufacturing requirements to support the overall features of the Cloud Manufacturing CPS with dependability.

A Development of Defeat Prediction Model Using Machine Learning in Polyurethane Foaming Process for Automotive Seat (머신러닝을 활용한 자동차 시트용 폴리우레탄 발포공정의 불량 예측 모델 개발)

  • Choi, Nak-Hun;Oh, Jong-Seok;Ahn, Jong-Rok;Kim, Key-Sun
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.6
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    • pp.36-42
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    • 2021
  • With recent developments in the Fourth Industrial Revolution, the manufacturing industry has changed rapidly. Through key aspects of Fourth Industrial Revolution super-connections and super-intelligence, machine learning will be able to make fault predictions during the foam-making process. Polyol and isocyanate are components in polyurethane foam. There has been a lot of research that could affect the characteristics of the products, depending on the specific mixture ratio and temperature. Based on these characteristics, this study collects data from each factor during the foam-making process and applies them to machine learning in order to predict faults. The algorithms used in machine learning are the decision tree, kNN, and an ensemble algorithm, and these algorithms learn from 5,147 cases. Based on 1,000 pieces of data for validation, the learning results show up to 98.5% accuracy using the ensemble algorithm. Therefore, the results confirm the faults of currently produced parts by collecting real-time data from each factor during the foam-making process. Furthermore, control of each of the factors may improve the fault rate.

A Study on the Development of H2 Fuel Cell Education Platform: Meta-Fuelcell (연료전지 교육 플랫폼 Meta-Fuelcell 개발에 관한 연구)

  • Duong, Thuy Trang;Gwak, Kyung-Min;Shin, Hyun-Jun;Rho, Young-J.
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.5
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    • pp.29-35
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    • 2022
  • This paper proposes a fuel cell education framework installed on a Metaverse environment, which is to reduce the burden of education costs and improve the effect of education or learning. This Meta-Fuel cell platform utilizes the Unity 3D Web and enables not only theoretical education but also hands-on training. The platform was designed and developed to accommodate a variety of unit education contents, such as ppt documents, videos, etc. The platform, therdore, integrates ppt and video demonstrations for theoretical education, as well as software content "STACK-Up" for hands-on training. Theoretical education section provides specialized liberal arts knowledge on hydrogen, including renewable energy, hydrogen economy, and fuel cells. The software "STACK-Up" provides a hands-on practice on assembling the stack parts. Stack is the very core component of fuel cells. The Meta-Fuelcell platform improves the limitations of face-to-face education. It provides educators with the opportunities of non-face-to-face education without restrictions such as educational place, time, and occupancy. On the other hand, learners can choose educational themes, order, etc. It provides educators and learners with interesting experiences to be active in the metaverse space. This platform is being applied experimentally to a education project which is to develop advanced manpower in the fuel cell industry. Its improvement is in progress.

Case Study of Establishing and Operating Maker Space in A Developing Country - Focusing on iTEC Tech-shop in Tanzania - (개발도상국 메이커 스페이스 구축 및 운영 사례 - 탄자니아 iTEC 테크샵을 중심으로 -)

  • Im, Hyuck-Soon;Jung, Woo-Kyun;Ngajilo, Tunu Y.;Meena, Okuli;Lee, Ahnna;Ahn, Sung-Hoon;Rhee, Hyop-Seung
    • Journal of Appropriate Technology
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    • v.6 no.2
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    • pp.126-135
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    • 2020
  • Recently, with the development of the 4th Industrial Revolution era and the popularization of technologies the maker movement is spreading worldwide in various ways for education, entrepreneurship, and solving social problems. This paper introduces a case of establishing and operating a maker space in Tanzania, East Africa, one of the developing countries. iTEC Tech-shop was established in the first half of 2018 at the Nelson Mandela African Institution of Science and Technology (NM-AIST) in Arusha, Tanzania by Innovative Technology and Energy Center (iTEC), and has been operating for nearly two years. With the allocation of empty warehouse space from NM-AIST, physical facilities were established through the purchase and installation of equipment and hand tools. Based on the advice from Idea Factory of Seoul National University and Fab-Lab Seoul, iTEC Tech-shop operational system were established. Through a total of 7 technical workshops, iTEC Tech-shop provided training courses for about 180 local personnel. In addition, the smart Techshop test-bed project was promoted in order to improve the operation level along with securing sustainability of the Techshop. The case of the iTEC Tech-shop could be a useful case for institutions or organizations promoting the maker movement to developing countries.

Design and Implementation of Real-time Digital Twin in Heterogeneous Robots using OPC UA (OPC UA를 활용한 이기종 로봇의 실시간 디지털 트윈 설계 및 구현)

  • Jeehyeong Kim
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.23 no.4
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    • pp.189-196
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    • 2023
  • As the manufacturing paradigm shifts, various collaborative robots are creating new markets. Demand for collaborative robots is increasing in all industries for the purpose of easy operation, productivity improvement, and replacement of manpower who do simple tasks compared to existing industrial robots. However, accidents frequently occur during work caused by collaborative robots in industrial sites, threatening the safety of workers. In order to construct an industrial site through robots in a human-centered environment, the safety of workers must be guaranteed, and there is a need to develop a collaborative robot guard system that provides reliable communication without the possibility of dispatch. It is necessary to double prevent accidents that occur within the working radius of cobots and reduce the risk of safety accidents through sensors and computer vision. We build a system based on OPC UA, an international protocol for communication with various industrial equipment, and propose a collaborative robot guard system through image analysis using ultrasonic sensors and CNN (Convolution Neural Network). The proposed system evaluates the possibility of robot control in an unsafe situation for a worker.

Literature Review of Commercial Discrete-Event Simulation Packages (상용 이산사건 시뮬레이터 패키지들에 대한 선행연구 분석)

  • Jihyeon Park;Gysun Hwang
    • Journal of the Korea Society for Simulation
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    • v.32 no.1
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    • pp.1-11
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    • 2023
  • Smart factory environments and digital twin environments are established, and today's factories accumulate vast amounts of production data and are managed in real time as visualized results suitable for user convenience. Production simulation techniques are in the spotlight as a way to prevent delays in delivery and predict factory volatility in situations where production schedule planning becomes difficult due to the diversification of production products. With the development of the digital twin environment, new packages are developed and functions of existing packages are updated, making it difficult for users to make decisions on which packages to use to develop simulations. Therefore, in this study, the concept of Discrete Event Simulation (DES) performed based on discrete events is defined, and the characteristics of various simulation packages were compared and analyzed. To this end, studies that solved real problems using discrete event simulation software for 10 years were analyzed, and three types of software used by the majority were identified. In addition, each package was classified by simulation technique, type of industry, subject of simulation, country of use, etc., and analysis results on the characteristics and usage of DES software were provided. The results of this study provide a basis for selection to companies and users who have difficulty in selecting discrete event simulation package in the future, and it is judged that they will be used as basic data.

A Study on Metaverse Framework Design for Education and Training of Hydrogen Fuel Cell Engineers (수소 연료전지 엔지니어 양성을 위한 메타버스 교육훈련 플랫폼에 관한 연구)

  • Yang Zhen;Kyung Min Gwak;Young J. Rho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.24 no.1
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    • pp.207-212
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    • 2024
  • The importance of hydrogen fuel cells continues to be emphasized, and there is a growing demand for education and training in this field. Among various educational environments, metaverse education is opening a new era of change in the global education industry, especially to adapt to remote learning. The most significant change that the metaverse has brought to education is the shift from one-way, instructor-centered, and static teaching approaches to multi-directional and dynamic ones. It is expected that the metaverse can be effectively utilized in hydrogen fuel cell engineer education, not only enhancing the effectiveness of education by enabling learning and training anytime, anywhere but also reducing costs associated with engineering education.In this research, inspired by these ideas, we are designing a fuel cell education platform. We have created a platform that combines theoretical and practical training using the metaverse. Key aspects of this research include the development of educational training content to increase learner engagement, the configuration of user interfaces for improved usability, the creation of environments for interacting with objects in the virtual world, and support for convergence services in the form of digital twins.

Development of Long-term Education Program for Jeollabukdo Level 6 Educational Administrative Officials (전라북도 6급 교육행정공무원 장기교육프로그램 개발)

  • Cho, Dong-Heon;Kim, Huyn-Ju;Kim, Min-Young;Lim, Sang-Ho
    • Industry Promotion Research
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    • v.7 no.3
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    • pp.27-42
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    • 2022
  • Local education autonomy aims to improve the quality of life of local residents and to realize education considering local characteristics. For this purpose, it is necessary to strengthen the competency of local education administrative officials. This study intends to derive the competency of level 6 public officials who should play a central role in local education administrative officials, and to devise the subjects cluster and subjects of the long-term education program. The purpose of this study is to prepare a basic plan so that the education program for level 6 educational administrative officials can be developed in the future. For this study, an expert panel was composed of 20 people including education administrative officials and education program development experts. In addition, the Delphi survey was conducted three times to obtain opinions on the competency of level 6 educational administrative officials and the subjects cluster and subjects of the long-term education program. For the competency of level 6 educational administrative officials, the validity of the survey data was evaluated in the Delphi 1st survey and the validity of the revised data in the 2nd Delphi survey was conducted. And for the subjects cluster and subjects of the long-term education program for level 6 educational administrative officials, the validity of basic data was evaluated in the Delphi 2nd survey and the validity of the revised data in the 3rd Delphi survey was conducted. As a result, the competencies of level 6 educational administrative officials were extracted into nine competencies including coordination and integration competencies. And the long-term education program for level 6 educational administrative officials was developed with 13 subjects cluster and 43 subjects. And the relationship model between the competency of level 6 educational administrative officials and the subjects cluster and subjects of the long-term education program was derived. Based on the results of this study, it was proposed to operate a flexible curriculum for a long-term education program. In addition, the necessity of establishing a system that can reflect the educational training results in the actual educational field was suggested.