• 품질경영학회지
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• 제49권4호
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• pp.551-567
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• 2021

Purpose: The purpose of this paper is to present implications by analyzing research trends on smart factories by text analysis and visual analysis(Comprehensive/ Fields / Years-based) which are big data analyses, by collecting data based on previous studies on smart factories. Methods: For the collection of analysis data, deep learning was used in the integrated search on the Academic Research Information Service (www.riss.kr) to search for "SMART FACTORY" and "Smart Factory" as search terms, and the titles and Korean abstracts were scrapped out of the extracted paper and they are organize into EXCEL. For the final step, 739 papers derived were analyzed using the Rx64 4.0.2 program and Rstudio using text mining, one of the big data analysis techniques, and Word Cloud for visualization. Results: The results of this study are as follows; Smart factory research slowed down from 2005 to 2014, but until 2019, research increased rapidly. According to the analysis by fields, smart factories were studied in the order of engineering, social science, and complex science. There were many 'engineering' fields in the early stages of smart factories, and research was expanded to 'social science'. In particular, since 2015, it has been studied in various disciplines such as 'complex studies'. Overall, in keyword analysis, the keywords such as 'technology', 'data', and 'analysis' are most likely to appear, and it was analyzed that there were some differences by fields and years. Conclusion: Government support and expert support for smart factories should be activated, and researches on technology-based strategies are needed. In the future, it is necessary to take various approaches to smart factories. If researches are conducted in consideration of the environment or energy, it is judged that bigger implications can be presented.

• 한국정보시스템학회지:정보시스템연구
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• 제31권1호
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• pp.197-218
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• 2022

Purpose This study examines the roles of firm-level smart factory implementation in the relationship between organizational competence and organizational performance in the context of Korean small and medium Enterprises (SMEs). To achieve this goal, this study presents and empirically tests a research model with evaluation data conducted by industrial experts on how organizational competence can be exploited to positively influence organizational performance through smart factory implementation. Design/methodology/approach Organizational competence are based on the research construct developed by Odważny et al.(2018). Research constructs on smart factory are based on the measurement model developed by Korea Technology and Information Promotion Agency for Korea small and medium Enterprises (TIPA) (2020) and organizational performance are based on the performance construct developed by Kwon(2019). To complete the investigation, we collected 31 firm data conducted by industrial experts in Korea from Dec 2018 to Dec 2020. Most of firm was implemented officially by government budget granted for smart factory of Korea SMEs. To test our hypotheses, partial least squares (PLS) method was employed. Findings The findings indicate that organizational competence is antecedent 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 competence and organizational performance through smart factory implementation. So companies should focus on enhancing organizational competence and implementing smart factory to obtain sustainable competitiveness.

• 한국인터넷방송통신학회논문지
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• 제13권6호
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• pp.229-235
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• 2013

본 논문은 각종 센서와 관리자 등을 통해 온도와 조도를 측정하여 전력량을 모니터링하며 제어하고 있는 공장용 에너지관리시스템(FEMS, Factory Energy Management System), 빌딩용 에너지관리시스템(BEMS, Building Energy Management System), 주택용 에너지관리시스템(HEMS, Home Energy Management System)등으로 크게 나누어지는 기존의 에너지관리시스템(EMS : Energy Management System)에서 사용하고 있는 각종 센서 정보들을 포함한 수집 가능한 빅 데이터를 활용하여 본 논문에서 제안하는 공간 기반 에너지관리시스템(SEMS, Space-based Energy Management System)의 추론엔진을 통해 일정한 크기와 유사한 특성을 가진 단위 공간을 정의하고 에너지를 효율적으로 관리하기 위한 공간의 크기나 특성에 따라서 SEMS의 추론엔진의 Self-Learning을 통해 추론엔진 자신이 학습을 통해 점차 스마트하게 진화하면서, 사용되는 전력량을 절감하는 방안을 제시하고자 한다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 2000년도 춘계공동학술대회 논문집
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• pp.152-155
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• 2000

Layout 문제는 매우 복잡한 의사결정과정이며, 이론적인 면보다는 논리를 바탕으로 한 경험적 결정이 많이 필요한 분야다. 이 논문에서는 프레스와 용접공정을 중심으로 하는 두 자동차 부품 생산업체가 한 업체로 통합되면서 새로운 공장으로 이전하는 과정에서 발생한 Layout 문제를 해결해 나가는 방법을 소개하였다. 추진하는 과정에서 기존의 개념모델을 일부 수정하여 적용하였으며, AutoCAD, FactoryFlow와 같은 소프트웨어를 이용하여 정량적 평가를 지원하였다.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1990년도 춘계공동학술대회논문집; 한국과학기술원; 28 Apr. 1990
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• pp.111-124
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• 1990

All most factories producing briquets in Seoul are currently located at residential districts. The coal dusts scattered from these factories are making serious problems in living. To get rid of this environmental pollution, moving thesis factories to places of mining coals is considered now. For doing this project, first, annual briquet demands are forecasted using regression analysis and then, optimal factory capacities to be built are obtained based on forecast demands using LP. To validate factory capacities obtained above simulation is conducted using SLAM II.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.553-554
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• 2018

공급사슬 관리(SCM) 는 흔히 원재료가 완제품으로 되기 까지 다시 말하면 공급자에서 소비자로 전달되는 전체적인 절차(부품조달, 생산계획, 납품, 재고관리등)를 주로 통칭한다. 기본적으로 전통적인 공급사슬 관리는 비용 절감과 효율성에 주로 목적을 두고 있다. 하지만 비용절감과 효율성에만 목적을 두다 보니 신뢰성 확보가 상대적으로 부족하여 4차 산업의 중심이 Smart Factory 에 그대로 적용 하기에는 다소 무리가 있다. 본 논문 에서는 전통적인 공급사슬 관리 에 사물인터넷을 더하여 각 요소들을 자동 제어 하고 블록 체인을 이용하여 보안 또한 만족할 수 있는 형태의 공급사슬관리망 을 제안한다.

• 대한안전경영과학회지
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• 제24권2호
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• pp.97-104
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• 2022

This study examines the effects of participation purpose, corporate readiness, and acceptance of changes that may occur in the course of expert guidance on the performance of smart factory. For this study, 129 questionnaires obtained from SMEs participating in the Smart Meister support project were used, and SPSS 18.0 and the AMOS 18.0 program were used for statistical processing for empirical analysis of the hypotheses test. It was found that the company's business participation motivation and readiness status had a significant effect on the acceptance and cooperation of changes that occurred during the consulting process. In addition, the acceptance and cooperation of changes within the company had a significant effect on the satisfaction with the Meister support project and the financial performance. Companies participating in the Meister support project need to clarify their motives for participating in the project and make stable corporate readiness in advance. In addition, based on the CEO's support, it is necessary to have a motivational program and to build an organizational culture that can actively accept innovation.

• 융합정보논문지
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• 제11권9호
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• pp.138-144
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• 2021

전자부품 조립사업은 제품불량이 발생했을 때, 입고된 원자재불량 또는 작업불량을 추적하는 것이 중요하며, 결과에 따라 납품업체 또는 작업현장 개선이 중요하다. 스마트팩토리의 핵심 과제는 데이터 통합허브를 구축하여 저장·관리·분석을 실시간으로 처리하고 클러스터공정, 에너지, 환경, 안전을 통합관리 하는 것이다. 전자부품 관련 중소기업에 생산현장관리를 실시간 모니터링하여 생산데이터의 정확한 분석과 수집으로 신뢰도를 향상시키기 위해서는 스마트팩토리 구축이 필수적이다. 본 논문은 스마트팩토리를 도입하고자 하는 전자 부품관련 중소기업의 특성을 고려해 시스템 구성방법, 스마트팩토리 관련기술 과 적용사례 등을 정의하여 구축에 활용토록 개발되었다.

• 디지털융복합연구
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• 제16권12호
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• pp.327-334
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• 2018

본 연구에서는 스마트 팩토리에서의 AR 기반 원격 협업을 위한 CMS 플랫폼을 제안한다. 스마트 팩토리 현장에서는 시간과 비용 절감을 위해 다양한 형태의 AR 기술을 활용하고 있다. 스마트 팩토리 수준이 높아짐에 따라 사람 중심의 작업에서 기계장치 설비 같은 시스템 중심의 작업이 이루어진다. 따라서 기계장치 설비의 고장 시 작업자가 현장에서 즉시 수리하거나 필요시 도움을 받을 수 있는 시스템이 필요하다. 원격 협업 CMS 플랫폼은 현장의 작업자와 원격지의 시스템 전문가가 필요시 텍스트, 2D 3D 콘텐츠와 스마트 팩토리 사업을 통해 구축된 ERP, MES/POP, PLM 시스템의 DATABASE와 연동하여 기계장치 설비의 상태, 관리 및 수리방법, 매뉴얼 등의 정보를 공유하여 신속하게 수리 관리하여 시간과 비용을 절감하는데 본 연구의 의의가 있다.

• 국제학술발표논문집
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• The 6th International Conference on Construction Engineering and Project Management
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• pp.704-705
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• 2015

Recent research has been ongoing for modular buildings in the country, and interest increases. However, in accordance with legal restrictions in the country with regard to Project Delivery system of Modular Building, the activation of modular buildings industry is obstructed. In Korea, in accordance with national contract law, the construction contract is apply to the project delivery system of modular buildings, and in accordance with Framework Act on the Construction Industry, The project delivery system of modular buildings has to be a separate order. The definition of separate order in contract as defined in the law is that the electric work and Communication work and digestion facility work has to be separate each contract in order to be ensured professionalism. In accordance with law, the project delivery system of modular buildings is that the contract for construction is concluded with the Owner and the Construction Contractor and the contract for goods is concluded with the construction Contractor and modular manufacturer. Due to these project delivery system, the domestic factory production rate when making a modular unit is significantly reduced compared to the rate of factory production abroad and the domestic factory production rate is estimated to 10-20%. Due to the factory production rate is also low, despite what can be done at the factory the workload in construction field increases. According to the workload in field increases, the effect of the schedule reduction can be reduced. It resolved to form a consortium with a modular manufacturer and construction companies or the contract is concluded with Owner, modular manufacturer and construction companies in each. In this paper, we propose a specific project delivery system for modular building to solve the problem of the low factory production rate and the problem of schedule reduction. Through this paper, due to the variety of project delivery system on modular buildings is expected to contribute to the activation of modular buildings.