• International Journal of Internet, Broadcasting and Communication
• /
• 제16권1호
• /
• pp.269-279
• /
• 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.

• 한국지능정보시스템학회:학술대회논문집
• /
• 한국지능정보시스템학회 2007년도 한국지능정보시스템학회
• /
• pp.351-356
• /
• 2007

Factory location selection is very important to the success of operation of the whole supply chain, but few effective solutions exist to deliver a good result, motivated by this, this paper tries to introduce a new factory location selection methodology by employing the artificial neural networks technology. First, we reviewed previous research related to factory location selection problems, and then developed a (neural network-based factory selection model) NNFSM which adopted back-propagation neural network theory, next, we developed computer program using C++ to demonstrate our proposed model. then we did case study by choosing a Korean steelmaking company P to show how our proposed model works,. Finnaly, we concluded by highlighting the key contributions of this paper and pointing out the limitations and future research directions of this paper. Compared to other traditional factory location selection methods, our proposed model is time-saving; more efficient.and can produce a much better result.

• 산업경영시스템학회지
• /
• 제25권4호
• /
• pp.8-15
• /
• 2002

This paper proposes a case study to treat planning and scheduling in factory of supply chain. In fact, the planning and the scheduling of a factory are not easily solved because of constraints of facility resources, material requirements, allowed planning times, and so on. However many packages are developed by vendors in Advanced Planning and Scheduling(APS) aspects to solve these problems. Therefore, in this paper, we analyze problems of an electronic company and apply the tool, Factory Planner(FP), to solve problems. The FP, which was developed by if technologies, is very popular planning and scheduling tool in the world. Also, the tool is successfully applied to many fields.

• 한국시뮬레이션학회논문지
• /
• 제12권1호
• /
• pp.35-48
• /
• 2003

This paper suggests the long-term strategy of the production distribution planning considering the capacity of factory production and the uncertain demand in a supply chain. This paper determines the near optimal capacity of factory production by using the advantages of mathematical and simulation models. Also, the relationship between the capacity from the suggested model and the strategy of production and distribution in a supply chain is studied. Arena is used for modeling and analysis.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1986년도 한국자동제어학술회의논문집; 한국과학기술대학, 충남; 17-18 Oct. 1986
• /
• pp.181-183
• /
• 1986

This paper describes the concept of ADS (Autonomous Decentralized System) and its application to FA (Factory Automation). The schemes of ADFAS (Autonomous Decentralized Factory Automation System) utilizing these concepts are presented.

• 산업기술연구
• /
• 제22권B호
• /
• pp.79-88
• /
• 2002

This paper deals with a case study on the process improvement and the layout design of a boiler factory with FactoryCAD. Firstly, two alternatives of job reallocation are suggested with the understanding of problems in current process. The layout planning for these new alternatives is carried out by simple procedure and the detailed analyses are performed by the aid of FactoryCAD program. The result shows that the new layout plan brings on about 10% reduction of travel distance. The utilization of FactoryCAD program can simplify the process of layout design.

• International Journal of CAD/CAM
• /
• 제2권1호
• /
• pp.39-44
• /
• 2002

This paper presents a structure and architecture of an integrated simulation method (ISM) to meet the requirements of virtual factory engineering (VFE). Combining CAD, VR and discrete event simulation techniques, the ISM provides static and dynamic simulation functions for implementation of VFE throughout the lifecycle. The static simulation can be used to evaluate the factory layout. The dynamic simulation enables us to evaluate ergonomics of factory, process performance of production system, feasibility of production plan and operation of factory, and to train operators safely, which cover the whole VFE lifecycle. The principles of the key techniques of VFE, including virtual factory data management system (VFDMS), static and dynamic simulation, are also discussed. To demonstrate and validate the ISM, a case study has been carried out in an assembly factory.

• 산업공학
• /
• 제16권1호
• /
• pp.63-69
• /
• 2003

Virtual Manufacturing is a technology facilitating effective development and agile production of products via computer models representing physical and logical schema and the behavior of the real manufacturing systems including manufacturing resources, environments and products. For the successful application of this technology, a virtual factory as a well-designed and integrated environment is essential. To construct a virtual factory in effective and concurrent manners, a supporting information infrastructure for managing diverse models of virtual factory is very important. In this paper, we constructed the web-based information management system for many engineering activities related with a virtual factory. Using this system, users can handle all information and diverse digital files including attributes, parameters, 3-D CAD files, simulation models, and etc. of a cell, line and whole factory. We expect that this information management system for a virtual factory helps us achieve great time savings and advances in accuracy for construction and maintenance activities of virtual factories.

• International journal of advanced smart convergence
• /
• 제11권1호
• /
• pp.42-47
• /
• 2022

As smart factory is the factory which produces the products according to the customer's diverse demand and the changing conditions in it, it can be characterized by flexible production, dynamic reconstruction, and optimized production environment. To implement these characteristics, many kind of configuration elements in the smart factory should be connected to and communicated with each other. So the network is responsible for playing this role in the smart factory. As SDN (Software Defined Network) is the technology that can dynamically cope with the explosive increasing data amount and the hourly changing network condition, it is one of network technologies that can be applied to the smart factory. In this paper, we address SDN function and operation, SDN model suitable for the smart factory, and then performs the simulation for measuring this model.

• 한국통신학회논문지
• /
• 제40권4호
• /
• pp.780-790
• /
• 2015

식물공장의 필요성에 대한 시대적, 산업적 요구가 증가함에 따라 전 세계적으로 식물공장을 이용하여 다양한 작물을 재배하려는 연구가 이루어지고 있다. 그러나 대부분의 연구는 컨테이너 크기의 소형 식물공장 형태의 연구실을 대상으로 한 부분적인 기술에 국한되어 있으며, 경제적 효과를 확보하기 위한 대형 식물공장에 대한 연구는 부족한 상황이다. 본 연구에서는 수경인삼 식물공장의 사례를 통하여 ICT 기반의 스마트 팜 팩토리 시스템에 대한 연구를 진행하고자 한다. 스마트 팜 팩토리는 기존의 식물공장의 개념을 확장한 것으로 일부 환경정보를 수집하여 시설물을 제어 할 수 있는 기존의 식물공장 수준을 뛰어 넘어 식물 생육을 위한 정보의 수집과 시설의 운영 및 관리의 자동화가 가능하며, 수집된 정보를 이용하여 최적의 작물 생육을 위한 정보 분석과 이의 적용이 가능한 전사적인 식물공장 관리 시스템이다.