• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.10a
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• pp.5-8
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• 1996

혼류 생산은 동시에 여러 모델의 제품들이 조립, 생산되는 환경에서 적용되는 생산방법이다. 본 연구에서 대상으로 하고 있는 공장도 혼류 생산 방법을 이용하여 다양한 모델의 냉장고들을 생산하고 있다. 대상 공장에서는 기준 생산 계획을 수립하는 시스템이 구축되어 있기 때문에, 수립된 기준 생산 계획에 따라 공장 상황에 맞는 세부 생산 계획을 수립하고, 생산이 수립된 계획에 따라 진행되는지를 모니터링하는 시스템이 요구되었다. 적용 대상이 되는 공장의 구조는 세 개의 조립 주 라인이 있고, 주 라인들에 부품을 공급하는 두 개의 하부 라인들이 있다. 또한, 각 주 라인에는 해당 주 라인에 부품을 공급하기 위한 세 개의 단위 작업장이 속해 있다. 하부 라인과 단위 작업장은 부품들을 batch 형태로 생산하고, 주 라인에서 생산되는 제품의 종류에 따라 부품들을 주 라인에 공급한다. 본 연구에서 개발한 시스템은 기준 생산 계획 시스템에서 보내오는 생산 주문에 대해 제품을 조립할 주 라인과 생산의 시작시점을 결정하고, 결정된 계획에 따라 주 라인에서 생산을 시작하기 전에 부품들이 적절히 공급될수 있도록 하부 라인과 단위 작업장에서의 batch 생산 계획을 수립한다. 또, 계획된대로 주문을 진행시키기 위해 생산을 통제하고, 생산 중에 이상 상황이 발생하였을 때는 재계획을 수립한다. 본 연구에서 개발한 시스템은 대상 공장에 적용되어 효과적으로 역할을 수행하고 있다.

• Journal of the Korean Magnetic Resonance Society
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• v.7 no.1
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• pp.46-54
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• 2003

We synthesized a contrast agent for MRI that is capable of binding to the ABP-1 receptor and enhancing the contrast of the targeted cells. We used a lysine dendrimer (G=3)DTPA[Gd] as the contrast agent and synthesized a biotinylated polyclonal antibody for ABP-1 as the first antibody. Lysine dendrimers were prepared using the solid phase peptide synthesis method.$^3$ Amino-terminated lysine dendrimers were then coupled to DTPA using the anhydride method. Gd was complexed with the DTPA-lysine dendrimer in an acidic solution of 3 eq GdCl$_3$ to one of DTPA. The lysine dendrimer-DTPA[Gd] and avidin were conjugated in MES solution, pH 6.0, using EDC as the coupling reagent. The biotin-avidin system was used to link the polyclonal antibody and contrast agent. K562 cells were used for imaging.

• The Journal of Information Systems
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• v.26 no.2
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• pp.105-121
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• 2017

Purpose It is a major goal to improve the product yields during production operations in the manufacturing industry. Therefore, factory is trying to keep the good quality materials and proper production resources, also find the proper condition of facilities and manufacturing environment for yields improvement. Design/methodology/approach We propose the hybrid framework to analyze to dataset extracted from MES. Those data is about the alarm information generated from equipment, both measurement and equipment process value from production and cycle/pitch time measured from production data these covered products during production. We adapt a data warehousing techniques for organizing dataset, a logistic regression for finding out the significant factors, and a association analysis for drawing the rules which affect the product yields. And then we validate the framework by applying the real data generated from the discrete process in secondary cell battery manufacturing. Findings This paper deals with challenges to apply the full potential of modeling and simulation within CPPS(Cyber-Physical Production System) and Smart Factory implementation. The framework is being applied in one of the most advanced and complex industrial sectors like semiconductor, display, and automotive industry.

• Proceedings of the Korean Society of Computer Information Conference
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• 2017.07a
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• pp.190-193
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• 2017

인더스트리 4.0 또는 4차 산업 혁명이 큰 화두이고, 그 중심에 제조업의 스마트 공장으로의 변화는 필수불가결의 현상으로 이해되고 있는 상황이다. 이에 한국 정부에서는 스마트공장 보급 사업을 활발하게 추진하여 한국 내 중소기업을 대상으로 스마트 공장 관련 기술을 확산하고자 노력하고 있다. 하지만, 여전히 많은 기업들은 스마트 공장 구축 사업을 받아들이려는 의지가 부족하고 자발적으로 받아들이지 않고 있어, 정부의 사업 확대에 어려움을 가지고 있다. 따라서 스마트 공장 보급 사업을 확대하고 한국 제조업의 경쟁력을 강화를 도모하는데 있어서 과연 어떤 요인이 중소기업들로 하여금 정부의 스마트 공장 관련 사업에 참여하여 관련 기술을 받아들이고, 기업에 적용하게 되는지 분석은 중요한 의미를 가질 것이다. 본 연구는 지난 2년간 스마트 공장 관련 기술을 도입한 기업을 대상으로 한 실증 연구를 통해서 실증 연구를 통해서 스마트 공장 관련 기술의 수용을 위한 중요한 요인이 무엇인지 검증하고, 향후 스마트 공장 관련 기술의 보급 확산을 위한 정책 결정과 사업 추진에 효율적인 추진 방향을 제시하고자 한다.

• Journal of the Korea Safety Management & Science
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• v.25 no.2
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• pp.159-165
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• 2023

The entire industry is increasing the use of big data analysis using artificial intelligence technology due to the Fourth Industrial Revolution. The value of big data is increasing, and the same is true of the production technology. However, small and medium -sized manufacturers with small size are difficult to use for work due to lack of data management ability, and it is difficult to enter smart factories. Therefore, to help small and medium -sized manufacturing companies use big data, we will predict the gross production time through machine learning. In previous studies, machine learning was conducted as a time and quantity factor for production, and the excellence of the ExtraTree Algorithm was confirmed by predicting gross product time. In this study, the worker's proficiency factors were added to the time and quantity factors necessary for production, and the prediction rate of LightGBM Algorithm knowing was the highest. The results of the study will help to enhance the company's competitiveness and enhance the competitiveness of the company by identifying the possibility of data utilization of the MES system and supporting systematic production schedule management.

• Journal of the Society of Naval Architects of Korea
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• v.43 no.3 s.147
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• pp.392-398
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• 2006

A prototype of MES(Manufacturing Execution System) applied to panel assembly shop is implemented by using PDA(Personal Digital Assistant) and wireless database web server. The system is developed based on the Dot Net framework. The prototype can exchange the manufacturing execution data between production managers in the control room and workers in the factory through wireless internet communication. Manufacturing model of the panel shop is designed by using IDEF0 and UML method to understand the characteristics of the information and the data entities from the PPR-S view. Several issues in the shop were revealed from the manufacturing model analysis. The most typical problem was the lack of information sharing between the managing workers and the assembly workers. The problem prevents the workers and labors from sharing the process information and continuous workpiece flow In interactive way. To increase the information and data flow, a wireless internet based system is implemented and PDAs are linked together to exchange the process planning data and in-process data between the workers. It is anticipated that PDA and the implemented system can enable the process control at each process stages to obtain the well-organized operation.

• Journal of Oriental Neuropsychiatry
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• v.10 no.2
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• pp.1-27
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• 1999

For experimental studies on the anticonvulsion effect and it was measured in mice that toxigenic effect, influence on the central nervous system, anticonvulsion effect, mechanism of anticonvulsion effect by change of GABA level and glutamic acid in brain, effect of the creation and degradation system of brain oxygen free radicals in convulsion. The results were obtained as follows: 1. Samulanshintang was perfect medicine without toxigenic effect. 2. Pretreatment of Samulanshintang did not influence on the central nervous system. 3. Pretreatment of Samulanshintang did not influence on maximal electric seizure(MES), strychnine, bicuculine and picrotoxin, but pentylenetrazol(PTZ)-induced convulsion significantly decreased. 4. Effect of Samulanshintang except for Jinsa on the PTZ-Induced convulsion decreased. 5. Effect of Samulanshintang fragrance(SMATF) and Samulanshintang distiled water(SMATW) on the PTZ-induced convulsion did not influence. 6. Decrease of brain GABA level in PTZ-induced convulsion was increased by pretreatment of Samulanshintang. 7. Decrease of brain glutathione content in PTZ-induced convulsion was increased by pretreatment of Samu- lanshintang. 8. GABA-T activity increased by PTZ-induced was controlled by the pretreatment of Samulanshintang. 9. Increase of brain lipid peroxide content in PTZ-induced convulsion was decreased by pretreatment of Samulanshintang. 10. Significant increase of brain xanthine oxidase and aldehyde oxidase activities in PTZ-induced was controlled by pretreatment of Samulanshintang. 11. Decrease of brain superoxide dismutase(SOD), catalase and glutathione peroxidase activities in PTZ-induced was decreased by pretreatment of Samulanshintang. From the above results, Samulanshintang was perfect medicine without toxigenic effect and was recognized anticonvulsion effect by decreasing brain glutamic acid level and increasing brain GABA level. Samulanshintang have an effect on creation and degradation system of brain oxygen free radicals in convulsion, thus it was considered that Samulanshintang could be applied in convulsive disorder as epilepsy, febrile seizure and spasm etc.

• Journal of the Korean Society for Precision Engineering
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• v.30 no.2
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• pp.206-215
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• 2013

In recent years, many companies have heavily invested in introducing production informatization systems in order to strengthen the competitiveness and to satisfy consumer's desires in quickly changing market environment. However, it is not effective due to the lack of understanding of systems and of non-existence of an optimal system for each company. Therefore, in this paper, manufacturing companies were classified according to its properties; size of the firm, type of business, production method and job production. After that, a model has been built to calculate the production informatization level, and it has been applied to 450 companies. Results of 450 surveys would be the base for figuring out strategies of introducing the production informatization to the companies which are wishing to build production informatization systems. Finally, Developed in this paper rule base system refer customized guideline to company that wants to adapt production information system.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.2
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• pp.261-269
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• 2020

This paper introduces a facility simulation system for efficient error detection of smart factories. The facility simulation system, which can infer and solve errors autonomously when analyzing the relationship between plant facilities, is one of the important technologies for constructing a smart factory with high productivity. In order to implement this autonomic control system, it is necessary to be able to identify the status of facilities and analyze the relationship between facilities through the data of factory facilities. Therefore, in this paper, we design and develop a simulation program that can detect the equipment that causes the process error when an error occurs based on the process scenario using the defined equipment status. The simulation shows that the error inference process based on the process map and facility status is more efficient than the general error inference process. This simulation program provides an intuitive view of the reasoning and resolution of facility failures.

• Information Systems Review
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• v.19 no.2
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• pp.95-113
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• 2017

The advent of information communication technology or the Fourth Industrial Revolution facilitated the fusion of equipment and management systems, such as Manufacturing Execution System, Enterprise Resource Planning, and Product Lifecycle Management, in the successful implementation of smart factories. The government supports the early adoption of these systems in small and medium companies to enhance their global competitiveness in producing products that can be recognized in a dramatically changing manufacturing environment. This study introduces smart factories to improve company competitiveness and address influences from the government assistance, CEO leadership, external consultancy, and organizational participation. We analyzed 101 results received from the questionnaires circulated to small- and medium-sized manufacturing companies. Given a successful smart factory implementation, company competitiveness is the factor that mostly influences organizational participation, government assistance, external consultancy, and CEO leadership. This study suggests several perspectives to implement a smart factory, which is the most important aspect of company competitiveness.