• Title/Summary/Keyword: Digital Manufacturing,

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Simulation Based Production Using 3-D CAD in Shipbuilding

  • Okumoto, Yasuhisa;Hiyoku, Kentaro;Uesugi, Noritaka
    • International Journal of CAD/CAM
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    • v.6 no.1
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    • pp.3-8
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    • 2006
  • The application of three-dimensional (3-D) CAD has been popularized for design and production and digital manufacturing has been spreading in many industrial fields. By simulation of the production process using 3-D digital models, which are the core of CIM (Computer Integrated Manufacturing) system, the efficiency and safety of production are improved at each stage of work, and optimization of manufacturing can be achieved. This paper firstly describes the concept of "simulation based production" in shipbuilding and also digital manufacturing; the 3-D CAD system is indispensable for effective simulation because ship structure is three dimensionally complex. By simulation, "computer optimized manufacturing" can be possible. The most effective fields of simulation in shipbuilding are in jobs where many parties have to cooperate, while existing two-dimensional drawings are hardly observed the whole structures due to interference between structures or equipment of complex shape. In this paper some examples of the successful application in IHIMU (IHI Marine United Inc.) are shown: assembly of a pipe unit, erection of a complex hull block, carriage of equipment, installation of a propeller, and access in an engine room.

Construction of Scheduling Support System for Panel Lines by Digital Manufacturing Simulation (디지털 생산 시뮬레이션 기반의 판넬라인 일정계획지원 시스템 구축)

  • Lee, Kwang-Kook;Choi, Dong-Hwan;Han, Sang-Dong;Park, Ju-Young;Shin, Jong-Gye
    • Journal of the Society of Naval Architects of Korea
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    • v.43 no.2 s.146
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    • pp.228-235
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    • 2006
  • Nowadays, digital manufacturing has been known to be very effective method in manufacturing fields. It is aimed to estimate process time, to improve operation efficiency, and to prevent bottleneck processes in advance of real manufacturing. This paper addresses a scheduling support system for panel hues in a shipyard through digital manufacturing simulation. The proposed system supports operators to make better decisions on the shop-floor scheduling in panel lines. It ,would provide a complete schedule that is at least as good as any schedule currently obtained. Furthermore, it can evaluate the operator's schedule by simulating it with 3-dimensional models before the work orders and schedules are released.

Micro-factory Evaluation through Digital Assembly Simulation (디지털 조립 시뮬레이션에 의한 초소형 공작기계 평가)

  • Choi, Sung-Il;Jung, Young-Sang;Subramaniyam, Murali;Jang, Seok-Ho;Song, Joon-Yub;Park, Sang-Ho
    • Transactions of the Korean Society of Machine Tool Engineers
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    • v.16 no.2
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    • pp.78-83
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    • 2007
  • In this paper, the digital model of the micro-factory has been established, inspected and evaluated by progress of assembly, manipulation and examination. The new paradigm of the system analysis is realized by digital simulation of the factory. The digital manufacturing system of the micro-factory was simulated through UML(Unified Modeling Language) with the object-oriented logical model analysis method and then the micro lens module assembly system was simulated with MST(Micro System Technology) Application Module.

Development of Rule-Based Knowledge Representation Supporting Tool for Design Digital Moister System (설계 디지털 마이스터 시스템 구축을 위한 규칙 기반 지식 표현 지원 도구 개발)

  • Nam S.H.;Kang H.W.;Lee W.;Suh H.W.;Choi H.J.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2006.05a
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    • pp.633-634
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    • 2006
  • Recently we started a development of the digital meister expert system for the product design supporting in manufacturing industry. Knowledge representation is of major importance in digital moister expert system. This rule-based expert system-knowledges are designed for a certain type of knowledge representation such as rules or logic. The way in which a rule-based expert system represents knowledge affects the development, efficiency, speed, and maintenance. Eventually, this digital moister system is used to the engineer in manufacturing industry for the process control, production management and system management. In this paper, we propose the digital moister system knowledge representation method for product design supporting in manufacturing industry and we present introduction and contents of rule-based knowledge representation supporting tool.

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The Study on Improvement of the Digital Transformation of Small and Medium-Sized Manufacturing Industries through Foreign Countries (주요국 정책을 통한 중소 제조기업의 디지털 전환 추진 방향 모색)

  • An, Jung-in
    • Journal of Venture Innovation
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    • v.5 no.4
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    • pp.109-115
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    • 2022
  • As the 4th industrial revolution progresses, foreign countries are promoting smart manufacturing innovation through digital transformation as a priority task early on to secure a competitive edge in the manufacturing industry. In response, the Korean government is also promoting a policy to enhance the competitiveness of small and medium-sized manufacturing companies by promoting digital transformation in the corporate sector to meet the global trend of the 4th industrial revolution era. Manufacturing powerhouses such as Germany and Japan see manufacturing as a key sector in digital transformation and are leading related policies, while emerging countries such as China are also promoting manufacturing innovation strategies such as building digital infrastructure and creating a digital innovation ecosystem. Korea is promoting the 'Korean-style smart factory dissemination and expansion strategy' by transforming Germany's manufacturing innovation strategy for smart factory supply to suit the domestic situation. However, the policy to supply smart factories so far has been conducted with support from individual companies under the leadership of the government, and most of the smart factories are at the basic level, and it is evaluated that there are limitations such as the lack of manpower to operate smart factories. In addition, while the current policy focuses on expanding the supply of smart factories in SMEs, it is necessary to establish a smart manufacturing system through linkages between large and small businesses in order to achieve the original goal of establishing a smart manufacturing system. Therefore, it can be said that from the standpoint of small and medium-sized enterprises (SMEs), who are consumers of smart factories, it can be said that the digital transformation policy can achieve the expected results only when appropriate incentives are provided for the introduction of smart factories in a situation where management resources such as funds, technology, and human resources are lacking. In addition, it is judged that the uncertainty of the performance of digital investment always exists, and as long as large and small companies are maintained as an ecosystem of delivery and subcontracting, there is very little incentive for small and medium-sized manufacturing companies to voluntarily invest in or advance digital transformation. Therefore, the digital transformation policy of small and medium-sized manufacturing companies in the future has practical significance in that it suggests that there is a need to seek ways to attract SMEs' digital-related voluntary investment.

ASS Design to Collect Manufacturing Data in Smart Factory Environment (스마트 팩토리 환경에서 제조 데이터 수집을 위한 AAS 설계)

  • Jung, Jin-uk;Jin, Kyo-hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.204-206
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    • 2022
  • Digital twin, which is evaluated as the core of smart factory advancement, is a technology that implements a digital replica in the virtual world with the same properties and functions of assets in the real world. Since the smart factory to which digital twin is applied can support services such as real-time production process monitoring, production process simulation, and predictive maintenance of facilities, it is expected to contribute to reducing production costs and improving productivity. AAS (Asset Administration Shell) is an essential technology for implementing digital twin and supports a method to digitally represent physical assets in real world. In this paper, we design AAS for manufacturing data gathering to be used in real-time CNC (Computer Numerical Control) monitoring system in operation by considering manufacturing facility in smart factory as assets.

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The Methodologies of Digital Engineering Applications to Manufacturing Collaborations in Automotive Industries (자동차 산업분야의 효과적인 제조협업 구현을 위한 디지털 엔지니어링 적용 방법론에 대한 연구)

  • Lee, Yoo-Chul;Bae, Hye-Rim
    • IE interfaces
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    • v.25 no.1
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    • pp.87-95
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    • 2012
  • Very special and tentative considerations including emotional aspects are required to apply any new mechanism and methodologies for manufacturing fields due to several reasons. This study reviews the characteristics of manufacturing collaborations through specific cases applied digital engineering to enhance the collaboration performance in manufacturing domains. Two cases of collaboration related with automotive manufacturing process are analyzed to extract meaningful insights for better collaboration model suggestions. The first case deals the robot simulation to find out advance errors in jig and fixture design during the various welding process of body-in-whites. The effective communication protocol to share their idea and agreed schedules are essential for this collaboration. More severe requirement of collaboration between R&D and manufacturing departments are studied in the second case for e-coating process. The invisible barriers among different departments are lowered by the process application of Computer Aided Engineering which can make sure their own interesting effectively. Those technical and managerial suggestions can be used when the information system and standard process are sought to implement and update not only when innovation projects are executed.

Business Intelligence System for Manufacturing Production Information System (제조생산 정보화 시스템을 위한 BI 시스템)

  • Chun, Byung-Tae
    • Journal of Digital Convergence
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    • v.10 no.2
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    • pp.231-235
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    • 2012
  • Manufacturing Information System is a information system which supports the activities such as production planning, workflow management, work stage control. Manufacturing fields are showing new properties in today such as digital information, globalization, integration, to make sophisticated production. In this paper, we descibe major issues in current systems. Eventually, we propose major factors to adapt for new changes and BI systems to support manufacturing production information system based on the major factors.

From Printing Graphics to Printing Electronics, The Digital Revolution in Display Manufacturing

  • Elizur, Eran
    • 한국정보디스플레이학회:학술대회논문집
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    • 2007.08a
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    • pp.193-194
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    • 2007
  • In this paper we present work done by Kodak Graphic-Communications-Group and our partners demonstrating applications where laser direct imaging could replace photolithography in display manufacturing. Such applications range from direct manufacturing (e.g. LCD color-filters) to producing “masters” where manufacturing is done by traditional printing methods (e.g. flexography, Gravure-printing).

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