• 보일러설비
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• s.2
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• pp.102-105
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• 1988

• The Magazine of the Society of Air-Conditioning and Refrigerating Engineers of Korea
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• v.25 no.6
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• pp.506-517
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• 1996

• 월간 기계설비
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• s.144
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• pp.20-29
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• 2002

• 월간 기계설비
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• s.144
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• pp.30-51
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• 2002

• 월간 기계설비
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• s.144
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• pp.52-76
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• 2002

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2006.05a
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• pp.1765-1770
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• 2006

본 논문에서는 반도체 fab 라인의 물류 설비를 event graph로 모델링 하는 방법론을 제안하고 있다. 최근 반도체 fab 라인 같은 대표적인 자본 집약적 제조라인에서는 운영단계에서 투입 계획, PM schedule 및 operation rule 등을 변화시켜 가며 평가 및 검증해 볼 수 있는 what-if simulation을 위한 line simulator의 필요성이 점점 높아지고 있다. 그러나 상용 simulator는 각 제조라인의 특성에 맞게 customization하는데 많은 시간과 비용이 소요될 뿐만 아니라 특성을 반영하는데 한계가 있다. 따라서 이러한 line simulator를 개발할 때 근간이 되는 설비의 simulation model이 필요하다. 이 때 설비들은 생산(processing) 및 물류(handling) 설비로 나눌 수 있는데, 본 논문에서는 반도체 fab 라인의 물류 설비 모델링 방법을 제시하고 실제 물류 설비를 모델링 해 봄으로써 그 효용성을 알아본다.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.22 no.2
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• pp.114-119
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• 2008

With the improvement of industrial society, the high quality electrical energy, simplification of operation and maintenance, ensuring reliability are being required. We request urgently change a $SF_6$ for an environment friendly gas insulation material. In this paper the experiments of breakdown characteristics by pressure and gap change of Imitation-Air in model GIS(Gas Insulated Switchgear) were described. Also assess of breakdown characteristics about Imitation-Air and $SF_6$. It is considered in this paper that the results are fundamental data for electric insulation design of Distribution Power Facilities which will be studied and developed in the future. The pressure to be confronted to $SF_6$ gas 1[atm] for Distribution Power Facilities is Imitation-Air 3[atm]. And we could make an environment friendly gas insulation material with maintaining dielectric strength by Imitation-Air which generates a lower level of the global warming effect.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.5
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• pp.219-227
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• 2019

Manufacturing methods have been changed from labor-intensive methods to technological intensive methods centered on manufacturing facilities. As manufacturing facilities replace human labour, the importance of monitoring and managing manufacturing facilities is emphasized. In addition, Big Data technology has recently emerged as an important technology to discover new value from limited data. Therefore, changes in manufacturing industries have increased the need for smart factory that combines IoT, information and communication technologies, sensor data, and big data. In this paper, we present strategies for existing domestic manufacturing factory to becom big data based smart-factory through technologies for distributed storage and processing of manufacturing facility data in MongoDB in real time and visualization using R programming.

• 전기의세계
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• v.29 no.6
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• pp.374-377
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• 1980

본고의 내용은 다음과 같다. 1. 고속형광램프 제조공정 2. 형광램프 제조의 특유기술 3. 공정 품질관리 4. 원부재료 관리

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.227-234
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• 2020

This paper introduces the state definition and diagnostic algorithm for autonomic control of manufacturing facilities. Smart factory systems through cyber-physical systems and digital twin technology are increasing the productivity and stability of existing manufacturing plants, which has become an issue recently. A Smart factory system is one of the key technologies that make up a smart factory system, to improve productivity, enable workers to make better decisions, and to control abnormal process flows. However, performing an autonomic control process based on large number of integrated plat data requires significant advance work. Therefore, in this paper, we define an abstracted facility state for manufacturing facility autonomic control and propose an algorithm to diagnose the current state. This makes the autonomic control process simpler by autonomic control based on the facility status rather then integrated facility data.