• 시스템엔지니어링학술지
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• 제11권2호
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• pp.85-93
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• 2015

Warehouse Management System (WMS) is a key control for Material Handling System (MHS) and Inventory Control System (ICS). How to design and implement for WMS is crucial factor for achieving the key performance index for Manufacturing Industry. In particular, iron and steel making industry, where the volume and weight is large and hence FIFO (First Input First Out) is not working, how to design WMS is a key factor. In this paper, we systematically define the problem of WMS via developing StR (Stakeholders' Requirements) or ORD (Operational Requirement Documents), SyR (System Requirement), and SA (System Architecture) based on the emerging technologies. In particular, IoT (Internet of Things), CPS (Cyber Physical System) concepts and enabling technologies haves been incorporated in developing Smart WMS. The deliverables of the research can provide a conceptual framework for developing the next generation industrial WMS.

• 융합보안논문지
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• 제16권7호
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• pp.173-180
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• 2016

국내에서 공장자동화에 대한 관심이 증가하고 있으며, 이에 관한 개발이 활발하게 시도되고 있다. 특히, '제조업 혁신 3.0 전략'에 따라 중소기업의 제조 공장들에 대한 스마트화에 대한 관심이 급격히 증가하고 있다. 뿐만 아니라, 스마트 공장을 구축하기 위한 정책적, 기술적, 전략적 접근 방법을 모색하고 있다. 하지만 이와 같은 스마트 공장 또는 공장 자동화 시스템을 도입하기 위해서는 제조 공장이 갖는 보안 취약점과 개인정보 보호 문제는 반드시 선결해야만 한다. 그러므로 우리는 공장 자동화를 위해서 가장 많이 도입되고 있는 무선 통신 기술인 RFID 통신 프로토콜에 적용 가능한 경량 암호 프로토콜을 제안한다. 본 논문에서 제안한 경량 암호 프로토콜은 기존의 공개키 기반 시스템이나 대칭키 암호 알고리즘과 비교해서 연산 횟수가 적고 처리 속도가 빠르다. 뿐만 아니라 낮은 전력 소비량과 저장 공간을 소비하도록 설계하였다.

• 한국융합학회논문지
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• 제8권7호
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• pp.23-28
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• 2017

제조업에 있어 효율적인 제조공정을 위해 기업의 생산성 향상 및 원가절감은 현 제조기업의 절실한 과제이다. 효율적인 제조공정 설계와 생산성향상을 위해 동작분석 및 가상현실기반의 테스트베드 연계시스템을 활용하여 불필요한 요소제거를 통해 효율적인 제조공정 방법을 연구한다. 가상의 사전 공정배치 시뮬레이션을 통한 최적화 검증 후 작업라인을 구축할 경우 추가적인 공정 수정 또는 보완에 소요되는 비용을 절감하고, 이는 결과적으로 기업의 제조경쟁력 향상이라는 실질적 효과를 도출할 수 있다. 본 연구를 통해 설계기간 단축, 설비개선, 자동화, 인간공학 실현, 프로세스 개선 등을 하여 생산성 향상, 품질 향상, 비용절감뿐만 아니라 안전 및 건강에 대한 직원만족을 달성할 수 있다.

• 한국전자통신학회논문지
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• 제13권1호
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• pp.53-60
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• 2018

고생산성 스마트공장을 실현하고 섬유 공정간 소량 및 대량 생산 요구에 대응할 수 있는 공장간 협업 기능성을 위해서 ICT개념이 도입되고 있다. ICT 기반의 협업 생산과 제조공정 최적화를 통해 제품 개발기간과 원가, 품질, 납기를 개선하여 고생산성 섬유제품을 생산 할 수 있는 ICT 융합형 모니터링 시스템이 필요하다. 본 논문에서는 봉제기 밑실 부분에 실제 장착 가능한 비접촉식 디지털 광 화이버 센서를 이용하여 밑실잔량을 센싱하여 IoT기반 라떼판다 보드 디스플레이에 표출하는 시스템 설계를 제안하고 구현 하였다. 이는 기존 밑실잔량 센싱 장치에 비해 소형화 되어 봉제기에 적용 우수한 성능을 확보할 수 있다.

• 반도체디스플레이기술학회지
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• 제16권3호
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• pp.121-126
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• 2017

EES System support to maximize equipment efficiency by providing real-time information of main equipment which has a significant effect on product quality and productivity, and to prevent equipment failure by detecting equipment abnormality in advance. Smart Equipment Engineering System(S-EES) integrates the activities performed at equipment that are the core of production activities and manages them by system so as to maximize the efficiency of equipment and raise the quality level of products to one level. In other words, when the product is put into the equipment, the recipe is downloaded through the RMS, the recipe is set to the optimal condition through R2R(process control), and the system detects and controls the abnormality of the equipment during operation through the FDC function in real time it means. In this way, we are working with the suitable recipe that matches the lot of product, detecting the abnormality of the equipment during operation, preventing the product from being defective, and establishing a system to maximize the efficiency through real-time equipment management. In this study, we review the present status and problems of equipment management in actual production lines, collect the requirements of the manufacturing line for the PCB line, design and develop the system, The measurement model was studied.

• Structural Engineering and Mechanics
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• 제32권6호
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• pp.755-770
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• 2009

This study proposes a new smart base isolation system that employs Magneto-Rheological Elastomers (MREs), a class of smart materials whose elastic modulus or stiffness can be varied depending on the magnitude of an applied magnetic field. It also evaluates the dynamic performance of the MRE-based isolation system in reducing vibrations in structures subject to various seismic excitations. As controllable stiffness elements, MREs can increase the dynamic control bandwidth of the isolation system, improving its vibration reduction capability. To study the effectiveness of the MRE-based isolation system, this paper compares its dynamic performance in reducing vibration responses of a base-isolated single-story structure (i.e., 2DOF) with that of a conventional base-isolation system. Moreover, two control algorithms (linear quadratic regulator (LQR)-based control and state-switched control) are considered for regulating the stiffness of MREs. The simulation results show that the MRE-based isolation system outperformed the conventional system in suppressing the maximum base drift, acceleration, and displacement of the structure.

• 한국염색가공학회지
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• 제23권1호
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• pp.43-50
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• 2011

Electrically conductive yarn coated with silver particles are widely used to make smart wear but recent studies on smart fabrics are focused on measuring method of electrical characteristics and improving technologies of its electric properties. Also durability of conductive yarn with environmental change was also important work to make smart fabric. We compared resistance changes of silver coated conductive yarns under various physical and chemical conditions such as repeated strain, heat exposure and pH for basic informations on smart wear manufacturing process. And we deduct that repeated strain among the physical conditions was most effective factors on yarn resistance change and the low resistance change was observed with increasing the number of filaments in identical yarn fineness.

• International Journal of Internet, Broadcasting and Communication
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• 제13권3호
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• pp.148-154
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• 2021

We propose the AI Smart Factory Model for integrated management of production processes in this paper .It is an integrated platform system for the production of food packaging containers, consisting of a platform system for the main producer, one or more production partner platform systems, and one or more raw material partner platform systems while each subsystem of the three systems consists of an integrated storage server platform that can be expanded infinitely with flexible systems that can extend client PCs and main servers according to size and integrated management of overall raw materials and production-related information. The hardware collects production site information in real time by using various equipment such as PLCs, on-site PCs, barcode printers, and wireless APs at the production site. MES and e-SCM data are stored in the cloud database server to ensure security and high availability of data, and accumulated as big data. It was built based on the project focused on dissemination and diffusion of the smart factory construction, advancement, and easy maintenance system promoted by the Ministry of SMEs and Startups to enhance the competitiveness of small and medium-sized enterprises (SMEs) manufacturing sites while we plan to propose this model in the paper to state funding projects for SMEs.

• 실천공학교육논문지
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• 제15권2호
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• pp.429-438
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• 2023

최근 4차 산업혁명 시대에 부응하여 스마트 팩토리 수요가 증가하고 있다. 스마트 팩토리는 기본적으로 방대한 데이터를 기반으로 하는 제조업으로 많은 데이터 처리를 위한 IT 서비스를 필요로 하게 되고 이는 데이터센터의 건립을 가속화하고 있다. 데이터센터의 전산장비는 발열부하와 사용시간 측면에서 일반적인 시설의 냉방 기술과는 다른 차원으로 접근이 필요하다. 본 연구는 최근 데이터센터 냉방 시스템 설계에서 검토해야 할 요인과 기술 변화 트렌드를 조사하고 사례기업의 시설 구성을 위한 각종 기술적 방식을 비교 검토하여 설계안을 결정하는 프로세스를 도출하고 결론에 해당하는 개념 설계안을 제시하고자 한다.

• Journal of Information Technology Applications and Management
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• 제30권6호
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• pp.1-15
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• 2023

With the advent of the Fourth Industrial Revolution, propelled by digital technology, we are transitioning into an era of hyperconnectivity, where everything and objects are becoming interconnected. A smart supply chain refers to a supply chain system where various sensors and RFID tags are attached to objects such as machinery and products used in the manufacturing and transportation of goods. These sensors and tags collect and analyze process data related to the products, providing meaningful information for operational use and decision-making in the supply chain. Before the spread of COVID-19, the fundamental principles of supply chain management were centered around 'cost minimization' and 'high efficiency.' A smart supply chain overcomes the linear delayed action-reaction processes of traditional supply chains by adopting real-time data for better decision-making based on information, providing greater transparency, and enabling enhanced collaboration across the entire supply chain. Therefore, in this study, a hierarchical model for building a smart supply chain was constructed to systematically derive the importance of key factors that should be strategically considered in the construction of a smart supply chain, based on the major factors identified in previous research. We applied AHP (Analytical Hierarchy Process) techniques to identify urgent improvement areas in smart SCM initiatives. The analysis results showed that the external supply chain integration is the most urgent area to be improved in smart SCM initiatives.