• 제목/요약/키워드: smart factory

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Promoting Efficient Smart Factories through Analysis and Status of Corporate Infrastructure Configuration

  • Seong-Hoon Lee
    • International Journal of Internet, Broadcasting and Communication
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    • 제16권3호
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    • pp.274-280
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    • 2024
  • The smart factory promotion project is a project that improves the entire management environment system, including the production process, using ICT technology. According to the 2019 Smart Factory Survey and Analysis Research Report of the Ministry of SMEs and Startups, small and medium-sized enterprises that introduced smart factories reported positive effects such as increased productivity, improved quality, and reduced costs on average. On the other hand, the survey results of companies that promoted the project despite positive results showed that there was room for improvement. This study dealt with the contents of the survey conducted on companies by the smart factory promotion agency in 2020 regarding the infrastructure configuration for promoting smart factories. We examined the meaningful contents implied by the data related to the infrastructure configuration. These meaningful survey results can lead to more efficient business promotion in the future when promoting smart factory projects.

스마트공장 고도화 수준의 조직수준 결정요인에 대한 연구 (A Study on the Determinants of Organizational Level for the Advancement of Smart Factory)

  • 옥지호
    • 아태비즈니스연구
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    • 제14권1호
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    • pp.281-294
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    • 2023
  • Purpose - The purpose of this study is to explore the determinants of the organizational level for the advancement of smart factory. We suggested three determinants of the organizational level such as CEO's entrepreneurship, high-involvement human resource management, and cooperative industrial relations. Design/methodology/approach - The population of our survey was manufacturing SMEs, and we took a sample and conducted a survey of 232 companies. Since the level of smart factory advancement, which is a dependent variable, was measured on an ordinal scale, ordinal logistic regression analysis was used to test the hypothesis. Findings - The higher the level of high-involvement human resource management, the higher the level of smart factory advancement. As the level of high-involvement human resource management increases by one unit, the probability of smart factory advancement increases by 22.8%. On the other hand, the CEO's entrepreneurship did not significantly affect the level of smart factory advancement. Interestingly, the cooperative industrial relations negatively affected to the level of smart factory advancement, contrary to the hypothesis prediction. Research implications or Originality - This study explored determinants at the organizational level that affect the advancement of smart factories. Through this, various implications are presented for related research and policy fields.

인더스트리 4.0시대의 스마트 팩토리 성공 사례 분석: 국내 대·중·소기업을 대상으로 (Analysis on Success Cases of Smart Factory in Korea: Leveraging from Large, Medium, and Small Size Enterprises)

  • 박종필
    • 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.

중소기업 스마트 공장 확장성 사례연구 (A Case Study on Smart Factory Extensibility for Small and Medium Enterprises)

  • 김성민;안재경
    • 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.

국내 중소기업의 내·외부 요인이 스마트팩토리의 도입에 미치는 영향에 관한 탐색적 연구 : 금속가공업을 중심으로 (Effects of Internal and External Characteristics of Korean SMEs on the Introduction of Smart Factory : An Exploratory Investigation on the Metal Processing Industry)

  • 이종각;김주헌
    • 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.

대·중소 상생형 스마트공장 구축 지원 사업 도입기업에 대한 성과분석 (Support Project for the Establishment of a Smart Factory for the Win-win between Large and Small Businesses Performance Analysis of the Adopting Company)

  • 서홍일;김태성
    • 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.

국내 중소기업의 스마트공장 구축을 위한 조직역량과 조직성과에 관한 연구 (A Study on Organizational Competence and Organizational Performance for Smart Factory Implementation of Korean Small and Medium Enterprises)

  • 서판종;김동희;문태수
    • 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.

다품종 소량 생산 체제의 스마트 공장 구축 사례: (주) IDIS를 중심으로 (A Case Study of the Construction of Smart Factory in a Small Quantity Batch Production System: Focused on IDIS Company)

  • 오세남;박원철;류문찬;이민구
    • 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.

스마트 공장 문헌연구 및 향후 추진전략 (Smart Factory Literature Review and Strategies for Korean Small Manufacturing Firms)

  • 이성희;김재영;이원희
    • 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.

스마트팩토리에서 시뮬레이션을 하기 위한 가상 데이터 생성기 연구 (A Study on the Virtual Data Generator for Simulation in Smart Factory)

  • 문용현;황승연;신동진;김정준
    • 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.