• Smart Media Journal
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• v.8 no.3
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• pp.95-103
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• 2019

The global manufacturing industry has reached the limit to growth due to a long-term recession, the rise of labor cost and raw material. As a solution to these difficulties, we promote the 4th Industry Revolution based on ICT and sensor technology. Following this trend, this paper proposes the design of a model using manufacturing data in the protection film process for smart manufacturing innovation. In the protective film process, the manufacturing data of temperature, pressure, humidity, and motion and thermal image are acquired by various sensors for the raw material blending, stirring, extrusion, and inspection processes. While the acquired manufacturing data is stored in mass storage, A.I. platform provides time-series image analysis and its visualization.

• Korean small business review
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• v.42 no.2
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• pp.117-137
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• 2020

We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.

• Information and Communications Magazine
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• v.33 no.8
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• pp.3-9
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• 2016

국가경제 전반의 생산성, 기술혁신, 수출, 고용을 유지함에 있어 제조업의 역할 및 경쟁력 확보는 매우 중요하다. 제조업은 ICT 기기, 자동화기계 등을 공급함으로써 경제 전분야에 걸쳐 생산성 향상과 기술혁신을 견인하고 있다. 무역에서 가장 큰 비중을 차지하고 있는 제조업 분야는 전체 무역의 약 70%를 차지하고 있으며 제조업 경쟁력이 무역수지 흑자에 필수적이며 이를 위해서 로봇기술을 바탕으로 융합 신(新)산업을 창출하여 우리 제조업만의 경쟁우위를 확보해야 한다. 인건비 상승, 고령화 사회 진입, 중국이나 일본 등 경쟁국가 기업들의 위협으로 위기를 맞고 있는 중소제조기업들이 생산공정에 로봇도입을 통해 기업 경쟁력을 회복하는 것이 필요하다. 정부에서는 제조업의 위기 타개책으로 '스마트팩토리'를 제시하고 있다. 그러나 대부분의 중소제조기업이 아직 전산화 단계도 벗어나지 못하고 있는 현시점에서 기존 수공정에 로봇도입을 통한 제조공정의 스마트화가 우선적으로 필요하다. 본 고에서는 국내 중소제조업 현황을 알아보고 중소제조기업의 로봇도입을 통한 제조공정 스마트화에 대해 적용 사례를 중심으로 살펴보도록 한다.

• Journal of the KSME
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• v.57 no.8
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• pp.33-37
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• 2017

학문 간의 전통적 경계가 허물어지고, 기술 융합이 경제체제와 사회구조를 급격히 변화시키는 4차 산업혁명시대가 다가오고 있다. 스마트제조(smart manufacturing)는 인간, 기술, 정보의 융합을 통해 제조업의 전략적 혁신을 도모하고자 하는 패러다임으로서 ICT와 제조기술을 융합하고자 하는 기술이다. 또한 스마트공장(smart factory)은 이러한 기술 융합을 통하여 공장의 설비, 장비와 공정이 지능화되어 네트워크로 연결되고, 생산데이터와 정보가 실시간으로 공유 활용되어 최적화된 생산운영이 가능한 공장으로, 공장 간의 협업적인 운영이 지속되는 지능형 ICT융합 제조시스템을 말한다. 이 글에서는 제조업 ICT융합과 스마트화, 그리고 스마트공장의 개념, 구성과 관련 동향에 대해 소개하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.12
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• pp.2491-2502
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• 2015

Main issue for embodiment of smart factory in small-medium manufacturing business(SMMB) is to whether might be successful or not in achieving a goal, exact materializing for smart factory related technology, and in seeking possible solutions for limited capacity to invest and develop technology. It is required for effective driving of manufacturing innovation 3.0 paradigm that ensures expertise to push forward technology policy based on value chain level of SMMB, and ensures detailed action plans by investment priority and development of core technology against global trend. This paper focuses to suggest countermeasure strategy and task through analysis of advanced technology and patent trend about industrial IoT(IIoT) and cyber physical system(CPS), and support embodiment of smart factory in underlying manufacturing innovation 3.0 scheme.

• Journal of Venture Innovation
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• v.5 no.2
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• pp.111-127
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• 2022

With the progress of the 4th industrial revolution, interest in smart factories is increasing. The government is implementing a smart factory support project for small and medium-sized manufacturing companies. Therefore, in this study, factors influencing small and medium-sized enterprises(SME's) intention of smart factory acceptance were analyzed. In particular, it focused on how the perception of government support affects intention of smart factory acceptance. For the empirical analysis, a research model was established by reflecting the characteristics of SMEs and the technical factors of the smart factory centering on the technology acceptance theory. Based on the model set in this way, a questionnaire survey was conducted for employees of SMEs. In this study, a total of 231 samples of valid data were used for analysis. The empirical analysis results are as follows. It was analyzed that performance expectancy, social influence, technology utilization capability, CEO will, and employee resistance to innovation, all introduced as research variables, had a significant effect on the use intention of smart factory acceptance. In particular, it was found that employees' resistance to innovation had a negative (-) effect on their use intention. Meanwhile, to analyze the moderating effect of government support, it was divided into a group with high expectations for government support and a group with low expectations. As a result, it was found that there was a difference in the effect of CEO's will, employees' resistance to innovation, and social influence on the use intention. On the other hand, no significant difference was found in the relationship between performance expectancy, technology utilization capability on the use intention. Based on the empirical analysis results, the academic and practical implications of this study were presented.

• Informatization Policy
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• v.30 no.4
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• pp.40-61
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• 2023

The adoption of smart factories and smart manufacturing as strategies to enhance competitiveness and stimulate growth in the manufacturing sector is vital for a country's future competitiveness and industrial transformation. The government has consistently pursued smart manufacturing innovation policies starting with the Manufacturing Innovation 3.0 strategy in the Ministry of Industry. This study aims to identify policy areas for smart factories and smart manufacturing based on technical standards. Analyzing policy areas at the current stage where the establishment and support of domestic standards aligning with international technical standards are required is crucial. By prioritizing smart manufacturing process areas within the industry, policymakers can make well-informed decisions to advance smart manufacturing without blindly following international standardization in already well-established areas. To achieve this, the study utilizes a hierarchical analysis method including expert interviews and importance-performance analysis for the five major process areas. The findings underscore the importance of proactive participation in standardization for emerging technologies, such as data and security, instead of solely focusing on areas with extensive international standardization. Additionally, policymakers need to consider carbon emissions, energy costs, and global environmental challenges to address international trends in export and digital trade effectively.

• Journal of Science and Technology Studies
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• v.18 no.2
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• pp.269-306
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• 2018

Through this study, it is aimed to derive the policy direction considering the characteristics of the present Smart Factory, the industrial condition of Pohang area, and the promotion field. Secondly, the questionnaire data of the regional enterprises will prepare for the improvement of the industrial structure and the implications for efficiency, and preparation for regional preparation and industrial changes in preparation for the next generation of production revolution. The construction of Smart Factory in Pohang can be divided into two major directions. First, it is analyzed that smart factory pilot projects are highly needed, focusing on competitive medical precision manufacturing field among the SMEs in the region, primary metal and nonmetal manufacturing industries, and other machinery fields. In addition, local SMEs are willing to introduce smart factories for reasons of quality improvement and cost reduction, and it is confirmed that they will actively promote employee training and expertise if they can upgrade continuously.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2018.05a
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• pp.209-212
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• 2018

최근 4차 산업의 등장 이후, 세계적으로 제조혁신을 위한 스마트 팩토리 분야의 연구가 활발히 진행되고 있다. 스마트 팩토리란 ICT 기술과 기존 제조업이 융합하여 공장 내 장비, 부품들이 연결 및 상호 소통하게 하는 생산체계 의미한다. 하지만 스마트 팩토리는 빅 데이터, 사물인터넷, 클라우드 컴퓨팅, CPS 등의 다양한 기술 요소들이 집합된 기술이기 때문에 매우 고가의 구축비용이 요구된다. 따라서 이 논문에서는 IoT, 클라우드 컴퓨팅 기술을 활용하여 중소기업의 영세성을 고려한 저비용의 스마트 팩토리 시스템을 제안하고, 제조기업에서 수집 가능한 데이터 분석과 서비스를 정의하고자 한다.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.08a
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• pp.123-140
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• 2017

스마트 폰은 모바일 디바이스 시장의 대표 제품으로 2008년 이후 본격적으로 시장이 형성되었으며, 우리나라는 피처 폰에서 구축한 하드웨어 경쟁력과 안드로이드 운영체제의 전략적 채택에 힘입어 2011년 이후 세계 스마트폰 산업에서 노키아, 애플 등을 제치고 주도권을 확보하는데 성공하였다. 그러나 최근 들어 중국기업의 약진으로 인해 우리나라는 2015년 이후 세계 시장 점유율 1위를 중국에 내어주게 된다. 본 연구에서는 추격 사이클 이론의 관점에서 스마트폰 산업의 후발주자로 출발한 우리나라가 어떻게 시장 주도권을 확보하였는지, 그리고 최근 어떻게 중국이 우리나라로부터 시장 주도권을 탈환하였는지를 고찰하고자 한다. 이와 함께 현재 우리나라 스마트폰 산업이 처한 문제점으로 완제품 제조사 주도의 폐쇄적 수직통합체계로 인한 제품설계 역량 취약과 이로 인한 부품 산업의 글로벌 경쟁력 열위를 제시하고, 이를 극복하기 위한 발전전략으로 핵심 부품의 모듈화와 완제품 제조사의 플랫폼 개발을 제시하였다.