• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.367-382
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• 2022

This study examined the impact of smart factory's quality factors on the intention to accept Advance Smart Factory(ASF) by mediating Perceived Value(PV) and Smart Factor Performance(SFP) of domestic SMEs that had introduced smart factor. As a result, First, Information Quality(IQ) and Service Quality(SQ) had a significant positive impact on Perceived Value(PV). Second, System Quality(SysQ), IQ, and SQ had a significant positive impact on SFP. Third, PV had a significant positive impact on intention to ASF, and PV and SFP had a significant positive impact on the intention to accept ASP. Also, PV had a mediating effect between SysQ, IS and Perfromance, and PV and Performance had a moderation between SQ and ASF. These results could provide one implication to SMEs that are taking into account to improve their smart factor to be advanced.

• Journal of Digital Convergence
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• v.18 no.9
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• pp.125-133
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• 2020

This study confirms the impact relationship between the president and employee competency related to smart factory construction of manufacturing SMEs, the acceptance intention and management performance in smart factory construction. The 310 data collected through a questionnaire were tested for research hypotheses through SEM. As a result, the president and employee competency affects the smart factory acceptance intention and the employee competency affects the management performance. Acceptance intention has a positive impact on management performance. Regional characteristics have a moderating effect on the relationship between president competency, acceptance intention, and management performance. Through this study, it was confirmed that the president and employee competency was an important factor in smart factory built.

• Proceedings of the Korean Society of Computer Information Conference
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• 2018.07a
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• pp.161-164
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• 2018

최근 제조업의 근로 시간 단축 및 전문 노동력의 감소로 인하여 발생할 수 있는 문제를 개선할 수 있는 스마트 팩토리(Smart Factory)가 주목받고 있다. 스마트 팩토리는 생산품의 불량률을 줄이고, 숙련공 없이 비숙련공만으로 현장 가동이 가능하다는 점 등의 긍정적 효과를 기대할 수 있다. 그러나 스마트 팩토리는 높은 설비 도입 비용, 업무 시스템 재설계 등의 문제점이 등이 있으며, 특히 보안의 취약성이 심각하다. 그렇기 때문에 많은 기업이 현실에서 스마트 팩토리를 도입하는 어려움을 겪고 있다. 본 논문에서는 스마트 팩토리의 다양한 보안 사고를 유형 및 정형화시키고 여러 보안 사고를 유발하는 취약한 부분을 구체화하여 스마트 팩토리의 보안 연구의 방향성을 제시하고자 한다.

• Korean small business review
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• v.41 no.4
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• pp.1-36
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• 2019

The purpose of this study is to identify the relationships among purposes and contents of smart factory building and continuous utilization of smart factory. Specifically, this study identifies two types of purposes of smart factory building as follows: (1) improving productivity, (2) increasing flexibility. In this study, three aspects of smart factory building contents were suggested like this: (1) automation area (facility automation vs. work automation), (2) big data system focus (radical transformation vs. incremental improvement), and (3) value chain integration area (internal value chain integration vs. external value chain integration). In addition, we looked at how firm size moderates the purposes - contents - continuous utilization of smart factory relationship. A questionnaire survey was conducted on 151 manufacturing companies. More specifically, out of 151 companies, 100 are small-and-medium-sized enterprises and 51 large-sized enterprises. All questionnaires were targeted at companies with Smart Factory level above level 2. The analysis results of this study using Smart PLS statistical programs are as follows. First, the purposes of smart factory building including increasing productivity and flexibility had positive impacts on all of the contents of smart factory building. Second, all of smart factory building contents had positive impacts on the continuous use of smart factory except big data system for incremental improvement of manufacturing process. Third, the impacts of smart factory building purposes implementation on smart factory building contents varied depending on whether the purpose is productivity improvement or flexibility. Fourth, it was founded that firm size moderated the relationships of purposes - contents - continuous utilization of smart factory in such a way that large-sized firms tend to empathize the link between flexibility and smart factory building contents for continuous use of smart factory, while small-and-medium-sized-firms emphasizing the link between productivity and smart factory building contents. Most of the previous studies have focused on presenting current smart factory deployment cases. However, it is believed that this research has made a theoretical contribution in this field in that it established and verified a research model for the smart factory building strategy. Based on the findings from a working-level perspective, corporate practitioners also need to have a different approach to smart factory building, which should be emphasized depending on whether their purpose of building smart factory is to increase productivity or flexibility. In particular, since the results of this study identify the moderating effect of firm size, it is deemed necessary for firms to implement a smart factory building strategy suitable for their firm size.

• Information and Communications Magazine
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• v.33 no.11
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• pp.16-22
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• 2016

지능형 공장은 전통적인 제조분야에 정보통신기술(ICT, Information and Communication Technology)을 적용하는 것을 의미한다. 사이버-물리시스템, 사물인터넷과 같은 기반 기술들의 발전으로 지능형공장을 추구하는 스마트팩토리(smart factory)분야는 다양하고 복잡한 기능들로 인해 복잡성이 매우 크고, 문제 발생 시 이에 대응하는 것이 용이하지 않다. 따라서 본고에서는 스마트팩토리를 위한 제조설비의 고신뢰 자율컴퓨팅 기술에 대하여 살펴본다. 구체적으로는 1) 스마트팩토리를 위한 통신미들웨어 기술동향, 2) 전통적인 자율컴퓨팅 기술동향 3) 고 신뢰 스마트팩토리를 위한 자율컴퓨팅 요소기술에 대하여 설명한다.

• Information and Communications Magazine
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• v.33 no.1
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• pp.24-29
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• 2015

최근 주요 선진국에서의 기존의 생산제조기술들과 ICT 기술 사이에 융합을 추구하고 있으며 이를 촉진시키기 위해서 스마트 팩토리 관련 연구 개발에 정부 연구비를 막대하게 투자하고 있으며 이와 동시에 민관 협력 강화된 체계 구축을 통해서 자국의 제조업 경쟁력 향상을 도모하고 있는 중이다. 또한, 한국의 경우도 민관의 협력을 기반으로 해서 제조업 성장성 확보와 더불어 스마트 팩토리 관련 연관 산업의 육성을 도모하고 있으며, 이를 위한 스마트 팩토리 테스트베드 구축을 통해 국내 제조업의 경쟁력을 제고 하고 있다. 따라서, 본고에서는 요즈음 전세계적으로 주목 받고 있는 스마트 팩토리 관련 개념 및 연구 개발 동향에 대해서 살펴보았으며 특히, 제조업 중흥을 위한 주요 선진국의 스마트 팩토리 관련 정책 방안에 대해서 살펴보았다. 부가적으로 스마트 팩토리의 기반 기술들이 되는 ICT기술과 융합이 가능한 생산제조기술들에 연구 동향에 대해서 살펴 봄으로써 향후, 스마트 팩로리 관련 연구 개발 방향 및 정책 방안에 대해서 제안한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.284-287
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• 2021

4차 산업혁명으로 인해 제조산업에 인공지능, 빅데이터와 같은 ICT 기술을 활용한 스마트팩토리의 제조 공정 자동화 및 장치 고도화 연구가 진행되고 있다. 제조 공정 자동화를 위해 스마트팩토리의 각 계층별 장치들이 유기적으로 연결되고 있으며, 이로 인해 발생 가능한 보안위협도 증가하고 있다. 스마트팩토리에서는 SIEM 등의 장비가 보안위협 데이터를 수집·분석·시각화하여 대응하고 있다. 보안위협 데이터 시각화에는 그리드 뷰, 피벗 뷰, 그래프, 차트, 테이블을 활용한 대시보드 형태로 제공하고 있지만, 이는 스마트팩토리 전 계층의 보안위협 데이터 확인에 대한 가시성이 부족하다. 따라서, 본 논문에서는 스마트팩토리 보안위협 데이터를 CVSS 점수 기반의 Likelihood와 보안위협 데이터 기반의 Impact를 활용하여 위험도를 도출하고, 히트맵 기반 스마트팩토리 보안위협 데이터 시각화 모델을 제안한다.

• The Journal of the Korea institute of electronic communication sciences
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• v.12 no.6
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• pp.1071-1080
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• 2017

Recently, the terms of the 4th Industrial Revolution and the Smart Factory are often heard through news and media. But most of the companies that are parties are not interested. Because there is no specific guidance on how to build Smart Factory and information about Smart Factory. The built of the Smart Factory should be carried out in accordance with the size of the company considering the purpose of the introduction. In the existing study, they analyzed successful cases of building Smart Factory in Korea As a result, in the case of large-size firms, it is an effective strategy that expanding from a model factory to whole factory for successful Smart Factory building. In addition, in the case of medium and small-size firms, it is an effective strategy that upgrading from low-level step to high-level step for successful Smart Factory building. In this study, selecting medium and small-size firms, and bottleneck section and processes requiring improvement are identified through 3D virtual process design, and then install sensors. Finally, after analyzing the data collected through the sensor, we will improve the process and build Smart Factory with improved productivity.

• 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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.29 no.3
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• pp.629-643
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• 2019

In the era of the 4th industrial revolution, countries around the world are conducting projects to rapidly expand smart factory to secure competitiveness in manufacturing industries. However, unlike existing factories where the network environment was closed, smart factories can be vulnerable because internal and external objects are interconnected and various ICT technologies are used. And smart factories are likely to be the subject of cyber-attacks that are designed to cause monetary damage to certain targets because economic damage is so serious when an accident occurs. Therefore, it is necessary to study and apply security for smart factories, but there is no specific smart factory system architecture, so there is no establish for smart factory security requirements. In order to solve these problems, this paper derives the smart factory architecture that can extract and reflect the main characteristics of a smart factory based on the domestic and foreign reference model of smart factories. And this paper identifies the security threats based on the derived smart factory architecture and present the security requirements to cope with them for contributing to the improvement of the security of the smart factory.