• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.280-283
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• 2021

SME(small and medium sized enterprise) 환경의 스마트공장 환경에서는 실제 제조라인에서 동작하는 센서(Sensor) 및 액추에이터(Actuator)와 이를 관리하는 PLC(Programmable Logic Controller), 더불어 그러한 PLC를 제어 및 관리하는 HMI(Human-Machine Interface), 그리고 다시 PLC와 HMI를 관리하는 OT(Operational Technology)서버로 구성되어 있으며, 제어자동화를 담당하는 PLC 및 HMI는 공장운영을 위한 응용시스템인 OT서버 및 현장 자동화를 위한 로봇, 생산설비와의 직접적인 연결을 수행하고 있어서 스마트공장 환경에서 보안 기술의 개발이 중점적으로 필요한 영역이다. 이러한 SME 환경의 스마트공장 보안 내재화를 이루기 위해서는, 스마트공장 SW 및 HW 개발 단계에서 IEC 62443-4-1 Secure Product Development Lifecycle에 따른 프로세스 정립 및 IEC 62443-4-2 Component 보안 요구사항과 IEC 62443-3-3 System 보안 요구사항에 적합한 개발 방법론의 도입이 필요하다.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.756-761
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• 2007

The construction Supply Chain Management(SCM) plays a critical role to proceed construction projects successfully. It is necessary to develop a system to support better communication among various actors and to supply construction materials in the right place on time with unstable situations on site according to the planned construction schedule for effective Supply Chain Management. Therefore, the objective of this study is to propose an automated and intelligent process that can be used to utilize ubiquitous technologies in construction supply chain management. This process consists of various equipments that can collect, store, calculate and communicate data among themselves. This study deals with a conceptual idea in order to improve process and equipment in the supply chain management process.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.87-95
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• 2018

Due to global warming and increased energy costs around the world, interests of energy saving and efficiency have been increased. In particular, forging factories need methods to save energy and increase productivity because of needing amounts of energy uses. To solve the problem, we propose a system, which includes collection, monitoring, and analysis process, to monitor energy uses each facility in realtime based on the IoT devices. This system insists of worksheets management, facility/energy management, realtime monitoring, history search, data analysis through connecting with existed ERP/MES Systems in manufacturing factories. The energy monitoring process is to present used energy collected from IoT devices connected with installed gasmeter and wattmeter each facility. This system provide the change of energy uses, usage fee, energy conversion, and green gas information in realtime on Web and mobile devices. This system will be enhanced with energy saving technology by analyzing constructed big data of energy uses. We can also propose a method to increase productivity by integrating this system with functions of digitalized worksheets and optimized models for production process.

• Korean Journal of Construction Engineering and Management
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• v.19 no.1
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• pp.43-53
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• 2018

Modular construction can improve construction quality and accuracy through manufacturing process, and it allow massive production and cost savings by repeatedly producing the same unit. In particular, it is possible to reduce the time because the on-site work and the manufacturing process can be carried out at simultaneously. However, according to the modular construction project survey report, there is no significant difference regarding the average construction period between modular construction and conventional construction. This is due to schedule delay problems that occur during construction phase. Therefore, it is necessary to select alternatives to prevent schedule delay during on-site construction progressing. Especially, in case of large-scale modular construction project, on-site module assembly and manufacturing process are performed concurrently. Hence, identification of alternatives should be done at the co-occurrence by taking both manufacturing and on-site work process in to account. In this research, the management factors of large-scale modular construction project were identified through the IDEF0 modeling, and the quantity management model for manufacturing and assembly is developed. This will reduce the schedule delay problem that occurs in the progression on-site work of a large scale modular construction.

• The KIPS Transactions:PartD
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• v.9D no.4
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• pp.667-676
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• 2002

Digital environment that is represented to Internet is displacing business way of industry and business achievement way with the fast speed being giving great change on life whole. Improve existent business process utilizing Internet and Web connection technology, information superhighway to tradition industrialist manufacturer and e-Transformation's propulsion that wish to maximize productivity and administration efficiency is spread vigorously. In this paper, administration efficiency raising of Web-based factory monitoring system to do monitoring when everywhere integrating operation present condition current point of time of discrete factories in inside and outside of the country by purpose design and implemented. That is, do to normalize system structure and achievement function, and administration data of Web-based, and design using VML (Unified Modeling Language) and take advantage of ASP (Active Server Pages) and implemented web function. Implemented Web-based factory monitoring system is applying two factory (Kl, K2) of K CO., LTD. tire operation division to caravan, and application result was evaluated by very efficient thing to grasp operation situation of whole factory synthetically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.104-112
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• 2021

For extrusion processes in the process industry, the need to build smart factories is increasing. However, in most extrusion production sites, the production method is continuous, and because the properties of the data are undeed, it is difficult to process the data. In order to solve this problem, we present a methodology utilizing a near field communication (NFC) sensor rather than water-based data entry. To this end, a wireless network environment was built, and a data management method was designed. A non-contact NFC method was studied for the production performance-data input method, and an analysis method was implemented using the pivot function of the Excel program. As a result, data input using NFC was automated, obtaining a quantitative effect from reducing the operator's data processing time. In addition, using the input data, we present a case where a bottleneck is improved due to quality problems.

• Korean Journal of Construction Engineering and Management
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• v.15 no.1
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• pp.11-19
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• 2014

The Construction industry is a labor-intensive industry that its labor cost takes up about 30~40% out of the whole construction cost. However, due to a stereotype that on-site work is a 3D job there is a shortage of the labor forces. Modular construction method is to produce modular units in the plant so that workers could work stably. Also, after delivering the module from plant to the site, there will be only installment to be required that shortens construction duration. Even though the modular market is currently expanding based on military facilities in Korea, its best strengths are not demonstrated well which are shortened construction period and low cost. It also causes labor problem of production due to minimum utilization of the modular construction method. Multi-skilled labor means a technician that is able to perform more than two kinds of work with more than two techniques. Multi-skilled labor can proceed smoothly by figuring out the connectivity between the precedent and following operations. Therefore, this research is to apply the concept of Multi-skilled labors, suggest solutions and allocate manpowers efficiently. As a result, it helps to decrease idle manpowers during the operation and the total labor forces can be saved. Low cost is the original strength of the modular which can stand out so the modular market is expected to expand.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2001.11a
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• pp.19-35
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• 2001

우리나라에서 수행된 국책연구개발기술과 관련된 기존 연구는 주로 기술개발에 초점이 맞추어진 관계로, 개발기술의 상용화는 연구개발 결과평가요인의 하나로서 다루어졌을 뿐, 그 자체를 효율화하기 위한 체계적인 연구는 없었다고 해도 과언이 아니다. 이러한 결과로 실제 국책연구개발의 기술적인 이전이 부족하고, 여러 분야에로의 2차 확산을 통한 상용화에 대한 성공률이 상대적으로 낮은 수준에 머무르고 있다. 또한 국내에서 출원된 특허를 포함한 산업재산권의 휴면 율이 55%-65% 수준에 이르고 있다. 이와 같이 연구개발기술의 산업계로의 확산이 부족한 관계로 국제적인 기술경쟁력의 제고가 어려우며, 기술발전과 산업발전이 상호 작용하는 선 순환적 구조를 이루지 못하고 있다. 따라서 본고에서는 기술집약형 중소기업 또는 기술벤처기업을 통한 정보통신산업분야의 정부지원 연구개발 기술의 상업화를 촉진하기 위한 효율적 방안의 도출을 위하여, 일차적으로 연구개발 기술의 상용화프로세스 모형을 도출하고, 다음으로 도출된 모형의 단계별 특성에 대한 기술개발자, 기술사용기업, 지원기관간의 중요도 차이를 분석하고자 한다. 이를 위하여 기존의 기술상용화 관련문헌 분석과, 우리나라의 정보통신 분야의 상용화 특성분석을 통하여, 우리나라 기술개발특성에 맞는 6 단계의 상용화프로세스 모형, 즉 1) 연구개발 계획 및 제안서 작성, 2)연구개발의 수행, 3)개발기술의 인큐베이팅과 시작품제작, 4)테스팅, 엔지니어링 및 시험생산, 5) 공장입지 결정 및 대량생산, 6) 시장판매, 마케팅 및 확산 등을 도출하였다. 아울러 동 모형의 단계별 특성을 설문지로 작성하여, 기술사용기업(벤처기업 및 기술집약형 중소기업), 기술개발자(국책연구소, 대학, 및 일반기업), 관련기관(정부, TBI운영기관, 정책 및 지원기관)을 대상으로 설문조사를 하였다. 회수 및 사용된 142개 설문지 분석을 통하여, 일차적으로 정보통신 국책개발기술의 상용화에 관한 변수들의 중요도 순위로 본 중요도 실태를 분석하였으며, 나아가 이들 변수에 대하여 앞에서 제시한 기술사용기업-기술개발자-관련기관 즉 세 집단 간의 차이분석 즉 ANOVA 분석을 하였다. 이러한 분석을 통하여 우리나라 정보통신 국책연구개발기술의 상용화와 관련된 특성을 도출하는 동시에, 이를 촉진하기 위한 인프라조성과 관련한 중요한 특성 및 지원정책 대안을 도출하였다.

• Journal of the Korea Society for Simulation
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• v.32 no.3
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• pp.93-108
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• 2023

In manufacturing productivity analysis, understanding the intricate interplay among factors like facility performance, layout design, and workforce allocation within the production line is imperative. This paper introduces a simulation-based methodology tailored to food manufacturing, progressively expanding scenarios to analyze production enhancement. The target system is a food processing plant, encompassing production processes, including warehousing, processing, subdivision, packaging, inspection, loading, and storage. First, we analyze the target system and design a simulation model according to the actual layout arrangement of equipment and workers. Then, we validate the developed model reflecting the real data obtained from the target system, such as the workers' working time and the equipment's processing time. The proposed model aims to identify optimal factor values for productivity gains through incremental scenario comparisons. To this end, three stages of simulation experiments were conducted by extending the equipment and worker models of the subdivision and packaging processes. The simulation experiments have shown that productivity depends on the placement of skilled workers and the performance of the packaging machine. The proposed method in this study will offer combinations of factors for the specific production requirements and support optimal decision-making in the real-world field.

• Korean small business review
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• v.42 no.2
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• pp.117-137
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• 2020

We examine the current status of smart factory deployment and diffusion programs in Korea, and seek to promote manufacturing innovation from the perspective of SMEs. The main conclusions of this paper are as follows. First, without additional market creation and supply chain improvement, smart factories are unlikely to raise profitability leading to overinvestment. Second, new business models need to connect "manufacturing process efficiency" with "R&D" and "marketing" in value chain in smart factories. Third, when introducing smart factories, we need to focus on the areas where process-embedded technology is directly linked to corporate competitiveness. Based on the modularity-maturity matrix (Pisano and Shih, 2012) and the examples of U.S. Manufacturing Innovation Institute (MII), we establish the new smart factory deployment policy measures as follows. First, we shift our smart factory strategy from quantitative expansion to qualitative upgrading. Second, we promote by each sector the formation of industrial commons that help SMEs to jointly develop R&D, exchange standardized data and practices, and facilitate supplier-led procurement system. Third, to implement new technology and business models, we encourage partnerships, collaborations, and M&As between conventional SMEs and start-ups and business ventures. Fourth, the whole deployment process of smart factories is indexed in detail to identify the problems and provide appropriate solutions.