• Journal of the Korea Safety Management & Science
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• v.12 no.2
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• pp.133-138
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• 2010

The environmental regulation of a product is a global trend. The environmental regulation directives such as RoHS, WEEE, ELV and REACH have impacted Korean export-oriented auto parts manufacturer and affects the export of the product to aboard. In electronics manufacture and auto parts manufacturer, there are different systems for environmental regulation compliance. Nowadays the automotive mechatronics parts in a car are increasing. The HEV and intelligent car will need more mechatronics parts. It is necessary to apply the environmental regulation system of electronics to the automotive parts. In this paper, we proposed the application of PDX standard used in electronic industry to the BOM of the auto parts manufactures and showed an example of generated BOM for selected auto part using PDX. The PDX-based BOM can be used for the recording of environmental substances of the automotive mechatronics part and help the collaboration across auto parts manufactures in accordance with environmental regulation.

• The Journal of Society for e-Business Studies
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• v.16 no.3
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• pp.169-190
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• 2011

The growth rates of manufacturer M, the domestic market leader in the infant formula and dairy industry, has slowed because of the market reduction which is caused by the falling birth rates, the increasing growth in import of foreign~made infant formula and fierce competition with other rivals in domestic market. In this situation, they find a way to make new opportunities of service innovation by using 'Open Collaboration Innovation Methodology(OCIM)'. As s result, they can provide their customers with the differentiated service which is created by collaborating with the external partners, exchanging the value each other and connecting the accumulated internal capabilities to the external resources. This study focused on the application of the Open Collaboration Innovation Methodology which is used to the manufacturer M's servicitization. Also it is described in the direction of forth study based on the limits that occurred when the M company use the methodology and the matters that have to be considered when other companies apply the methodology.

• Journal of Digital Convergence
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• v.13 no.5
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• pp.151-158
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• 2015

The purpose of this study to understand collaborative process and the capabilities of the firm impact on innovation performance in convergence environment. To achieve the purpose, research model was empirically tested with a survey from 162 employees from 4 Korea manufacturing companies and 1 USA company. The data obtained from the survey were analyzed using Partial Least Squares (PLS). As a result, collaboration process, learning capability and operation capability have significant and positive impact on innovation performance. It is a meaningful result that the collaboration process improve the innovation performance of firms through the operation capability and the learning capability.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10a
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• pp.113-125
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• 1997

The objective of this research is to construct and build a software platform to enable collaboration among enterprise headquarters, product designers, software engineers, manufacturing plants, and suppliers which are located at different remote locations via internet. In specific, agent technology is adopted as a software vehicle to automate demand as a software vehicle to automate demand and supply process in the internet environment. Agents are programs that act an behalf of their human users to perform laborious tasks such as information locating, accessing, filtering, integrating, adapting and resolving inconsistencies. Global competition is forcing the present day industry to produce high quality product more fast and inexpensively. In Korea, most labor-intensive industries have moved to China and other Asian countries for cost reduction. The need for fast information exchange has increased among the remote locations for the cooperation and coordination. In this research, a virtual global manufacturing system will be constructed that distributes production schedule among remote places, acts as a bridge between the headquarters and manufacturing plants, distributes tasks and collates different solutions between demand and supply using agent. The external communication protocol takes HTML format, internal message handling requires SGML for document exchange, and KQML for agent implementation. The expected benefits will be : reduced cost of real-time information exchange, realization of global manufacturing environment, the maximum utilization of internet for the enterprise data exchange.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.3
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• pp.91-100
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• 2022

Major developed countries are seriously considering smart factories to increase their manufacturing competitiveness. Smart factory is a customized factory that incorporates ICT in the entire process from product planning to design, distribution and sales. This can reduce production costs and respond flexibly to the consumer market. The smart factory converts physical signals into digital signals, connects machines, parts, factories, manufacturing processes, people, and supply chain partners in the factory to each other, and uses the collected data to enable the smart factory platform to operate intelligently. Enhancing personalized value is the key. Therefore, it can be said that the success or failure of a smart factory depends on whether big data is secured and utilized. Standardized communication and collaboration are required to smoothly acquire big data inside and outside the factory in the smart factory, and the use of big data can be maximized through big data analysis. This study examines big data analysis and standardization in smart factory. Manufacturing innovation by country, smart factory construction framework, smart factory implementation key elements, big data analysis and visualization, etc. will be reviewed first. Through this, we propose services such as big data infrastructure construction process, big data platform components, big data modeling, big data quality management components, big data standardization, and big data implementation consulting that can be suggested when building big data infrastructure in smart factories. It is expected that this proposal can be a guide for building big data infrastructure for companies that want to introduce a smart factory.

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.269-279
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• 2024

The study explores the evolving landscape of overseas expansion strategies by Korean corporations, focusing on recent geopolitical tensions, the COVID-19 pandemic, and disruptions in global supply chains. It emphasizes the challenges faced by industries producing high-value products and delves into the concept of "Friend-Shoring" policies in the United States, leading major Korean companies to invest in local semiconductor, battery, and automotive factories. Recognizing the potential fragmentation of Korea's manufacturing sector, the paper introduces the "Mother Factory" strategy as a policy initiative, inspired by Japan's model, to establish core production facilities domestically. The discussion unfolds by examining the cases of major companies in Japan and the United States, highlighting the need for Korea to adopt a mother factory strategy to mitigate risks associated with friend-shoring policies. Inspired by Intel's "Copy Exactly" approach, the paper proposes a Korean mother factory model integrating smart factory technology and digital twin systems. This strategic shift aims to enhance responsiveness to geopolitical challenges and fortify the competitiveness of Korean high-tech industries. Finally, the paper proposes a Korean Mother Factory based on smart factory concepts. The suggested model integrates smart factory technology and digital twin frameworks to enhance responsiveness and fortify competitiveness. In conclusion, the paper advocates for the adoption of a comprehensive Korean Mother Factory model to address contemporary challenges, foster advanced manufacturing, and ensure the sustainability and competitiveness of Korean high-tech industries in the global landscape. The proposed strategy aligns with the evolving dynamics of the manufacturing sector and emphasizes technological advancements, collaboration, and strategic realignment.

• The Journal of Society for e-Business Studies
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• v.23 no.2
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• pp.123-133
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• 2018

Recently, countries are pursuing vigorous research, development and commercialization in cooperation with industry, academia and researcher to take the lead in building a smart manufacturing system that is at the center of the fourth industrial revolution. According to a research report [4], the competitiveness of Korea in the area of basic technology, hardware, and software of the smart factory is reported to be less than 70% of the developed countries. In this study, we reviewed the existing research literature and analyzed the current status of smart manufacturing technology and major issues in the manufacturing industry. We tried to provide ideas for collaboration with core technology researchers and companies with business processes. Internet of Things, CPS and robot technologies have been the most active in smart manufacturing area. It can be seen that cooperation between researchers and industries in the early stage is being done through the case of industry application of each core technology.

• Journal of Internet Computing and Services
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• v.14 no.6
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• pp.95-105
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• 2013

Recently, SME's Collaboration activities have become one of a vital factor for sustaining competitive edge. This is because of the rapidly changing and competitive market environment, and also to leverage performance by overcoming obstacles of having limited internal resources. Discussing about the effects and relationships of the firm's collaboration activities and its outputs are not new. However, as ICT and various technologies have been diffused into the traditional industries, boundaries and practice capabilities within the industries are becoming ambiguous. Thus contents of the products/services and their development methods are also go and come over the industries. Although many researchers suggested the relations of SME's collaboration activities and innovation performances, most of the previous literatures are focusing on broad perspectives of firm's environmental factors rather than considering various SME's idiosyncrasy factors such as their major product and customer types at once. Therefore, the purpose of this paper is to analyze how SME(Small Medium Enterprise)'s external collaboration activities by their idiosyncrasy act as an input to types of innovation performance. In order to analyze collaboration effects in detail, we defined factors that can represent the SME's business environment - Perceived importance of using external resources, Perceived importance of external partnership, Collaboration and Collaboration levels of Major Product types, Customer types and lastly the Firm Sizes. We have also specifically divided the performance of innovation types as product innovation and process innovation based on existing research. In this study, the empirical analysis is based on Probit Regression Model to observe the correlations with the impact of each SME's business environment and their activities. For the empirical data, 497 samples were collected which, this sample data was extracted from the 'Korean Open Innovation Survey' performed by ETRI(Korean Electronics Telecommunications Research Institute) in 2010. As a result, empirical test results indicated that the impact of collaboration varies depend on the innovation types (Product and Process Innovation). The Impact of the collaboration level for the product innovation tend to be more effective when SMEs are developing for a final product, targeting on for individual customers (B2C). But on the other hand, the analysis result of the Process innovation tend to be higher than the product innovation, when SMEs are developing raw materials for their partners or to other firms targeting on for manufacturing industries(B2B). Also perceived importance of using external resources has effected to both product and process innovation performance. But Perceived importance of external partnership was statistically insignificant. Interesting finding was that the service product has negative effects on for the process innovation performance. And Relationship between size of the firms and their external collaboration activities with their performance of the innovations indicated that the bigger firms(over 100 of employees) tend to have better for both product and process innovations. Finally, implications of the results can be suggested as performance of innovation can be varied depends on firm's unique business idiosyncrasy as well as levels of external collaboration activities. The Implication of this research can be considered for firms in selecting an appropriate strategy as well as for policy makers.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.19 no.1
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• pp.94-100
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• 2011

This paper gives a brief overview of the COMS CPS development process from start to finish. The manufacturing techniques used for CPS were founded on established generic processes that have been developed and proven on previous satellite programs, and have used the expertise and facilities in the framework of international collaboration. Manufacture and testing of the CPS were successfully accomplished, and COMS CPS demonstrated good performance in the launch phase.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2006.10a
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• pp.473-474
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• 2006