• Title, Summary, Keyword: Smart Factory

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A Study on the Influence of Smart Factory Key Factors on Management Performance through Internal Environmental Factors in Small and Medium Businesses (중소기업에서 내부 환경요인을 통한 Smart Factory 핵심요인이 경영성과에 미치는 영향 연구)

  • Jin, Sung-Ok;Seo, Young Wook
    • Journal of Digital Convergence
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    • v.17 no.7
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    • pp.115-124
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    • 2019
  • This study is an empirical study of 'the effect of the key factors of Smart Factory on management performance through internal environmental factors in small and medium enterprises'. The purpose of the research is to verify that the implementation of a Smart Factory affects the performance of management and contribute to the continued development of the company, and to suggest the national policy of expanding the deployment of a Smart Factory. The procedures were surveyed by working-level officials of small and medium-sized manufacturing companies with a Smart Factory and statistically analyzed with the SPSS and SMART PLS. The results of the study showed that first, the environmental factors within the company had a positive effect on the key components of the Smart Factory. Second, the key factor in Smart Factory has had a positive impact on management performance. The above evidence shows that the key factors in smart factory considering the environmental factors of an enterprise affect its management performance, thus laying the theoretical foundation for the performance of smart factory construction. In the future, we will study how to build a Smart Factory.

Effects of Smart Factory Quality Characteristics & Innovative Activities on Business Performance : Mediating Effect of Using Smart Factory

  • CHO, Ik-Jun;KIM, Jin-Kwon;AHN, Tony-DongHui;YANG, Hoe-Chang
    • The Journal of Economics, Marketing and Management
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    • v.8 no.3
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    • pp.23-36
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    • 2020
  • Purpose: The purpose of this study is to identify the strategic direction of organizations and their employees to efficiently utilize smart factories and enhance business performance among Korean manufacturing companies. Research design, data, and methodology: We derived a structured research model to check the mediated effect of utilization of smart factory between the characteristics of smart factory and the innovation activities. Results: Quality characteristics of smart factory and Innovation activities were all found to have a statistically significant effect on utilization of smart factory, utilization of smart factory was found to have a statistically significant effect on the business performance. And it has been shown that the utilization of smart factory is partially mediated relative to the quality characteristics of smart factory and business performance and relative to innovation activities and business performance. Conclusions: Smart factory builders can reflect the areas that affect utilization of the smart factory in their strategies by considering the quality characteristics of the smart factory and innovation Activities. Therefore, smart factory builders can identify the quality characteristics of smart factory and reflect them in the process and analyze active utilize measures through the innovative activities of the employees of the organization, thereby influencing business performance.

A Study on the Effect of Technological Innovation on the Implementation of Smart Factory through the Environmental Factors of the Enterprise -Absorption Capacity as Moderating Variable- (기업의 환경요인을 통한 기술혁신이 Smart Factory 구축에 미치는 영향 연구 -흡수역량을 조절변수로-)

  • Jin, Sung-Ok;Seo, Young Wook
    • The Journal of the Korea Contents Association
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    • v.19 no.10
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    • pp.407-420
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    • 2019
  • This study is an empirical study of 'the effect of Technological innovation through environmental factors of an enterprise on the implementation of a Smart Factory'. The purpose of the research is to improve the utilization and effectiveness of the Smart Factory by considering and implementing factors that will be promoted in an internal environment or focus when building. The research method was statistical analysis with SMART PLS by surveying the relevant personnel of the company that implemented the Smart Factory. The results of the study showed that internal organizational factors and self-efficacy have a positive effect on technological innovation, and technology innovation has a positive effect on the key factors of smart factory implementation. And the absorbing capacity, which is a moderating variable, has a positive effect in part on the key factors of smart factory implementation by interacting with technological innovation factors. This study can be used by companies that want to implement a smart factory, and it has the significance of laying the theoretical foundation for research on smart factory implementation through empirical analysis.

Designing and Utilizing a Smart Factory Roadmap for CEOs: Leveraging from University-Industry Research Collaboration (경영자를 위한 스마트팩토리 구축 로드맵 설계 및 활용)

  • Park, Jongpil
    • Journal of the Korean Society of Industry Convergence
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    • v.21 no.6
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    • pp.285-299
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    • 2018
  • Recently much attention in building smart factory has been dramatically increased. Despite the growing interest in smart factory, few practical guidelines exist how to successfully build smart factory. The purpose of this study is to postulate and develop a road map for building successful smart factory. To enhance mundane realism, we design the road map through University-Industry research collaboration. Specifically, drawing analysis of University-Industry research collaboration, we design a prototype and detailed road map or building successful smart factory. Moreover, we apply the road map into actual smart factory development. By doing so, we successfully prove the effectiveness of the road map. Therefore, this study provides the valuable guidelines and directions to build a successful smart factory. Ultimately this study is able to help a variety of factories which establish and implement smart factory. Further, we hope that this study will be placed to be an important foundation research on behalf of smart factory building.

A Study on the Establishment of Smart Factory through the Environmental Factors and Absorption Capacity of Small and Medium Businesses (중소기업의 환경요인과 흡수역량을 통한 Smart Factory 구축 연구)

  • Jin, Sung-Ok;Seo, Young Wook
    • Journal of Convergence for Information Technology
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    • v.9 no.7
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    • pp.67-77
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    • 2019
  • Many small and medium-sized enterprises are deploying Smart Factory without due consideration of the circumstances in which the entity is in or outside of the entity, such as environmental changes and the capabilities of its members. Therefore, utilization and effectiveness are also low after deployment. This study verifies 'the establishment of a Smart Factory through the environmental factors and absorption capabilities of small businesses' through empirical research. The survey was received by people working for small and medium-sized companies that have established Smart Factory. The results of the study showed that first, environmental factors within and outside the company had a positive effect on the absorption capacity within the company. Second, the absorption capacity within a company has had a positive effect on the deployment of a Smart Factory. Based on the above proof, it has been proved to be effective if the core areas of the Smart Factory are built on the basis of the company's internal and external environmental factors and absorption capabilities when constructing Smart Factory in small businesses. In the future, we will study the achievements of smart factory construction.

The Effect of Both Employees' Attitude toward Technology Acceptance and Ease of Technology Use on Smart Factory Technology Introduction level and Manufacturing Performance (종업원 기술수용태도와 기술 사용용이성이 스마트공장 기술 도입수준과 제조성과에 미치는 영향)

  • Oh, Ju Hwan;Seo, Jin Hee;Kim, Ji Dae
    • Journal of Information Technology Applications and Management
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    • v.26 no.2
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    • pp.13-26
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    • 2019
  • The purpose of this study is to examine the effect of each of the two technology acceptance factors(employees' attitude toward smart factory technology, and ease of smart factory technology use) on the introduction level of each of the three smart factory technologies (manufacturing big data technology, automation technology, and supply chain integration technology), and in turn, the effect of each of the three smart factory technologies on manufacturing performance. This study employed PLS statistics software package to empirically validate a structural equation model with survey data from 100 domestic small-and medium-sized manufacturing firms (SMMFs). The analysis results revealed the followings. First, it is founded that employees' attitude toward smart factory technology influenced all of the three smart factory technology introduction levels in a positive manner. In particular, SMMFs of which employees had more favorable attitude toward smart factory technology tended to increase introduction levels of both automation technology and supply chain integration technology more than in the case of manufacturing big data technology. Second, ease of smart factory technology use also had a positive impact on each of the three smart factory technology introduction levels, respectively. A noteworthy finding is this : SMMFs which perceived smart factory technology as easier to use would like to elevate the introduction level of manufacturing big data technology more than in the cases of either automation technology or supply chain integration technology. Third, smart factory technologies such as automation technology and supply chain integration technology had affirmative impacts on manufacturing performance of SMMFs. These results shed some valuable insights on the introduction of smart factory technology : The success of smart factory heavily depends on organization-and people-related factors such as employees' attitude toward smart factory technology and employees' perceived ease of smart factory technology use.

Analysis of Factors Affecting Company Performance by Smart Factory (스마트공장 보급이 중소기업 경영에 미치는 영향 요인 분석)

  • Kim, Jinhan;Cho, Jinhyung;Lee, Saejae
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.42 no.4
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    • pp.76-83
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    • 2019
  • The South Korean government is actively assisting the supply of the smart factory solutions to SMEs (Small & Medium-sized Enterprises) according to its manufacturing innovation 3.0 policy for the smart manufacturing as the 4th industrial revolution era unfolds. This study analyzed the impacts of the smart factory solutions, which have been supplied by the government, on the companies performances. The effects of the level of smart factory and the operation capabilities for the smart factory solutions on company performances, and the mediating effects of manufacturing capabilities have been analyzed using SPSS and AMOS. The data for this survey-based study were collected from the SMEs which implemented the smart factory solutions since 2015. The results show that the level of smart factory solutions adopted and operation capabilities for the smart factories do not have direct effects on the company performances, but their mediating effects on the manufacturing capabilities matter and the manufacturing capabilities effect directly on the company performances. In addition significant factors boosting the operation capability for the smart factory and the levels of the smart factory solutions are identified. Finally, the policy direction for enhancing the smart factory effects is presented, and the future research directions along with the limitations are suggested.

Development of Smart Factory Diagnostic Model Reflecting Manufacturing Characteristics and Customized Application of Small and Medium Enterprises (제조업 특성을 반영한 스마트공장 진단모델 개발 및 중소기업 맞춤형 적용사례)

  • Kim, Hyun-Deuk;Kim, Dong-Min;Lee, Kyung-Geun;Yoon, Je-Whan;Youm, Sekyoung
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.42 no.3
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    • pp.25-38
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    • 2019
  • This study is to develop a diagnostic model for the effective introduction of smart factories in the manufacturing industry, to diagnose SMEs that have difficulties in building their own smart factory compared to large enterprise, to identify the current level and to present directions for implementation. IT, AT, and OT experts diagnosed 18 SMEs using the "Smart Factory Capacity Diagnosis Tool" developed for smart factory level assessment of companies. They analyzed the results and assessed the level by smart factory diagnosis categories. Companies' smart factory diagnostic mean score is 322 out of 1000 points, between 1 level (check) and 2 level (monitoring). According to diagnosis category, Factory Field Basic, R&D, Production/Logistics/Quality Control, Supply Chain Management and Reference Information Standardization are high but Strategy, Facility Automation, Equipment Control, Data/Information System and Effect Analysis are low. There was little difference in smart factory level depending on whether IT system was built or not. Also, Companies with large sales amount were not necessarily advantageous to smart factories. This study will help SMEs who are interested in smart factory. In order to build smart factory, it is necessary to analyze the market trends, SW/ICT and establish a smart factory strategy suitable for the company considering the characteristics of industry and business environment.

The Built of Smart Factory Using Sensors and Virtual Process Design (센서와 가상 공정설계를 활용한 스마트 팩토리 구축)

  • So, Byeong-Eob;Shin, Sung-Sik
    • 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.

Standardization Strategy of Smart Factory for Improving SME's Global Competitiveness (중소기업의 글로벌 경쟁력 제고를 위한 스마트공장 표준화 전략)

  • Chung, Sunyang;Jeon, Joong Yang;Hwang, Jeong-Jae
    • Journal of Korea Technology Innovation Society
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    • v.19 no.3
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    • pp.545-571
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    • 2016
  • The development of ICT brings a big change in manufacturing industries, and new information technology such as IoT, AR, and big data was applied on manufacturing process. As a result, the concept of smart factory has been introduced as a new manufacturing paradigm. In fact advanced countries like USA, Germany, and Japan have actively introduced smart factory in their manufacturing industries such as electronic, automobile, machinery, to improve production efficiency and quality. The manufacturing environment has been changed into flexible system, so that smart factory will be leading future manufacturing industries. Thes changes have more severe influence on Korean manufacturing industries. Mny industrial companies, have a strong interest in smart factory and they, particularly big enterprises, have been adopting smart factory to increase their manufacturing efficiencies. However, Korean small and medium-sized enterprises (SMEs) have many financial and technological difficulties so that the diffusion of smart factory in Korean SMEs has not been satisfiable up to present. However, smart factory is very important for enhancing their competitiveness in global market. Therefore, this study aims at identifying the standardization strategy of smart factory in so-called Korean 'roots industry' by presuming that the standardization will activate the diffusion of smart factory among Korean SMEs. For this purpose, first, this study examines the competitiveness of SMEs, especially in 'roots industry' and identifies the necessity of diffusion of smart factory among those SMEs. Second, based on the active review on the existing literature, this study identifies four factor groups that would influence the adoption or diffusion of standardized smart factory. They are technological, organizational, industrial and policy factors. Third, using those four factors, this study made two comprehensive case analyses on the adoption and diffusion of smart factory. These two companies belong to molding sector which is one of the important six sectors in 'root industry'. Finally, based on the theoretical and empirical analyse, this study suggests four strategies for activating the standardization of smart factory; international standardization, government-leading standardization, firm-leading standardization, and non-standardization.