• 디지털융복합연구
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• 제15권5호
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• pp.107-115
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• 2017

최근 스마트 팩토리에 대한 관심이 크게 증가하고 있다. 그러나, 이러한 높은 관심에도 불구하고 정작 어떻게 스마트 팩토리를 구축해야 하는지에 대한 구체적인 가이드라인이 없는 실정이다. 또한 기존의 사례들은 주로 독일을 중심으로한 해외 사례로서 국내에 그대로 적용하기에는 다소의 괴리감이 존재한다. 또한 스마트 팩토리는 기업의 규모와 성격에 따라 구축방식이 상이할 수 있다. 이러한 상황에서 본 연구는 국내 대 중 소기업들을 대상으로 스마트 팩토리 성공구축 사례들을 분석 하였다. 사례분석 결과, 대기업의 경우 일부공장을 대상으로 시범적으로 스마트팩토리를 구축한 후 성공적으로 평가될 시 전체공장으로 확대시키는 전략이 효과적이다. 중소기업의 경우, 낮은 수준의 스마트팩토리 구축레벨에서 높은 수준의 구축레벨로 업그레이드하는 것이 효과적이다. 말하자면 본 연구에서 실시한 스마트 팩토리 성공사례 분석을 통해, 기업들에게 성공적 구축을 위한 실제적인 가이드라인을 제공하고자 한다. 아울러, 본 연구를 통해 제시된 구축전략들은 향후 스마트 팩토리 구축을 고려하고 있는 기업과 정부에게 중요한 함의를 제시하고자 한다.

• 산업경영시스템학회지
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• 제44권2호
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• pp.43-57
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• 2021

Smart factories can be defined as intelligent factories that produce products through IoT-based data. In order to build and operate a smart factory, various new technologies such as CPS, IoT, Big Data, and AI are to be introduced and utilized, while the implementation of a MES system that accurately and quickly collects equipment data and production performance is as important as those new technologies. First of all, it is very essential to build a smart factory appropriate to the current status of the company. In this study, what are the essential prerequisite factors for successfully implementing a smart factory was investigated. A case study has been carried out to illustrate the effect of implementing ERP and MES, and to examine the extensibilities into a smart factory. ERP and MES as an integrated manufacturing information system do not imply a smart factory, however, it has been confirmed that ERP and MES are necessary conditions among many factors for developing into a smart factory. Therefore, the stepwise implementation of intelligent MES through the expansion of MES function was suggested. An intelligent MES that is capable of making various decisions has been investigated as a prototyping system by applying data mining techniques and big data analysis. In the end, in order for small and medium enterprises to implement a low-cost, high-efficiency smart factory, the level and goal of the smart factory must be clearly defined, and the transition to ERP and MES-based intelligent factories could be a potential alternative.

• 한국IT서비스학회지
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• 제19권6호
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• pp.97-117
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• 2020

Five years have passed since the introduction of the smart factory amid the new opportunities for growth and job creation in relation to domestic manufacturing companies. Nevertheless, there is a lack of analysis on SMEs introduction smart factories. This study empirically analyzed the effects on the introduction of smart factories of domestic metal processing SMEs by distinguishing the characteristics of enterprises In this study, 103 companies which introduced smart factories and another 106 companies which did not introduce them were sampled. The Introduction of the Smart Factory was analyzed by four categories such as the Company characteristics (R&D capability, product production capability, organizational change), entrepreneur characteristics (risk sensitivity), relational characteristics (trust, dependence, cooperation, Influence), and structural characteristics (competition). As a result of the research, we found out product production capacity, risk sensitivity, trust and cooperation, Influence, and competition are statistically significant in the introduction of smart factory. But competition was characterized by a negative (-) sign opposite to the hypothesis. This study is meaningful in that the scope of the analysis has been expanded by analyzing whether smart factory was introduced or not considering the characteristics of the company. And there should be continuous research on its utilization as well as the introduction of smart factory.

• 대한안전경영과학회지
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• 제24권2호
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• pp.135-142
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• 2022

The smart factory is an important system that can reduce defects, maximize productivity, and respond to customer needs, from the labor-intensive era of traditional small and medium-sized manufacturing companies through the automation era to CPS using ICT. However, small and medium-sized manufacturers often fall short of the basic stage due to economic and environmental constraints, and there are many companies that do not even recognize the concept of a smart factory. In this situation, to expand the smart factory of small and medium-sized enterprises, the project to support the establishment of a smart factory for the win-win between large and small enterprises. The win-win smart factory construction support project provides a customized differentiation program support project according to the size and level of the company for all domestic manufacturing SMEs regardless of whether or not they are dealing with Samsung. In this study, we analyze the construction status and introduction performance of companies participating in the win-win smart factory support project to find out whether they have been helpful in management and to find efficient ways to improve support policies, and to suggest the direction of continuous support projects to improve the manufacturing competitiveness of SMEs in the future.

• 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.

• 품질경영학회지
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• 제46권1호
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• pp.11-26
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• 2018

Purpose: This study is to help the construction of smart factories of other manufacturing enterprises through IDIS 's case of smart factory construction. Methods: We introduce the four phases of implementing smart factory building by IDIS company, which produces a small quantity of multi-odd units. Results: Through the smart factory construction, the cost of product is reduced due to the improvement of total productivity such as office work, production work, and energy saving, and sales are enhanced by customized production, quality / delivery reliability improvement. Conclusion: We present the actual examples needed to build the manufacturer's smart factory.

• Journal of Information Technology Applications and Management
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• 제24권4호
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• pp.133-152
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• 2017

Smart factory has been regarded as a big opportunity for manufacturing industries. However, little literature has been studied for the current status of Korean smart factory. Our paper tries to find gaps between research and real world by summarizing the recent literature and cases in Korean context. As the present level of smart factory introductions in Korean small manufacturing firms is lower than what a variety of literature says, our study points out that more efforts, investments and government support are required to catch up with the knowhow and technologies of developed countries although real-time control, enhanced productivity have been obtained. In future research, we will continue the smart factory study with the accumulated real data.

• 한국인터넷방송통신학회논문지
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• 제21권1호
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• pp.131-139
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• 2021

스마트팩토리는 4차 산업혁명에서 가장 대두되는 분야라고 말할 수 있다. 스마트팩토리에 필요한 공정이나 알고리즘을 개발하는 데에는 필수적으로 스마트팩토리에서 나오는 데이터값들이 필요하지만 그러한 데이터를 얻기 위해서는 현실적으로 많은 어려움이 있다. 따라서 본 연구에서는 스마트팩토리에 관한 연구를 돕기 위해 스마트팩토리 속 여러 공정의 데이터들을 보다 현실적으로 시뮬레이션할 수 있는 데이터 생성기를 개발하였다. 추가로, 설정 프리셋과 직관적인 UI 구성 등, 데이터 생성자의 편의를 위한 기능들도 개발하였다. 이 데이터 생성기를 이용함으로써, 스마트팩토리 환경에 필요한 여러 시스템을 만들 때 현실적인 데이터를 손쉽고 간단하게 생성하여 스마트팩토리 환경을 시뮬레이션하는 데 많은 도움을 받을 수 있을 것이다.

• 산경연구논집
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• 제11권12호
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• pp.17-28
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• 2020

Purpose: The purpose of this study is to confirm the strategic direction of the firm regarding the capabilities of the organization and its employees in order to increase the utilization and business performance of employees by that introduce smart factories in the domestic manufacturing industry. Research design, data, and methodology: This study derived a structured research model to confirm the mediating effect of recognition responses between the quality characteristics of smart factories and dynamic capabilities. For the analysis, a total of 143 valid questionnaires were used for 200 companies that introduced smart factories from domestic SME's. Results: Quality Characteristics of Smart Factory and Dynamic Capabilities had a statistically significant effect on Usefulness. Recognition Response had a statistically mediating on the relationship between quality characteristics of smart factory and business performance. Recognition Response had a statistically significant effect on business performance. Conclusions: It suggests that firms introducing smart factory reflect them in their empowerment strategic because the recognition responses of its employees differ according to the quality characteristics and dynamic capabilities of smart factories. It also means that the information derived from the smart factory system is useful and effective to business performance and employees.

• 품질경영학회지
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• 제48권1호
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• pp.87-105
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• 2020

Purpose: This paper aims to propose a practical strategy for smart factories and a step-by-step quality strategy according to the maturity of smart factory construction. Methods: The characteristics, compositional requirements, and diagnosis system are examined for smart factories through theoretical considerations. Several cases of implementing smart factory are studied considering the company maturity level from the aspect of the smartness concept. And specific quality techniques and innovation activities are carefully reviewed. Results: The maturity level of smart factory was classified into five phases: 1) ICT non-application, 2) basic, 3) intermediate 1, 4) intermediate 2, 5) advanced level. A five-step quality strategy was established on the basis of case studies; identify, measure, analyze, optimize, and customize. Some quality techniques are introduced for step-by-step implementation of quality strategies. Conclusion: To build a successful smart factory, it is necessary to establish a quality strategy that suits the culture and size of the company. The quality management strategy proposed in this paper is expected to contribute to the establishment of appropriate strategies for the size and purpose of the company.