• Proceedings of the Korea Inteligent Information System Society Conference
• /
• 2002.05a
• /
• pp.213-221
• /
• 2002

e-비지니스환경에서의 SCM의 성공적인 추진을 위해서는 우선 e-business 전략과 Supply Chain 관리 전략의 상하 연계, 조직측면에 있어서의 경영자의 변화에 대한 혁신 능력과 리더쉽, 조직 구성원들과의 비전 공유, 저보기술(IT)을 활용한 보다 차별화된 서비스가 제공되어야 한다. 본 연구는 C기업의 사례로 통해, 기존의 SCM 기법에서 정보기술(IT)의 급속한 발달과 인터넷의 급속한 보급, 그리고 e-비지니스의 등장으로 인하여 경영환경의 변화라는 새로운 패러다임 하에서 다수의 경쟁기업, 정보 네트워크시스템 기반에서 보다 효과적으로 기업과 고객에게 대응하기 위한 기업의 구체적이고 실무적인 전략 측면에서 다루어 보았다는 데 그 의의가 있다. 소비재, 생활용품에 있어서 보다 빠른 납기, 보다 전문적이고 다양화되고 있는 고객의 욕구를 충족시키기 위해 제조기업 측면에서 어떻게 기존의 조직구조 및 업무 프로세스를 혁신 할 것인가를 실제 사례를 통하여 연구함으로써 동종 산업체나 또는 기업의 실무자들에게 있어 큰 도움이 될 것이다.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.11 no.1
• /
• pp.53-59
• /
• 2011

In this paper, the implementation of a production control system has been studied in order to obtain Realtime Cost Calculation using an exact Machine Factor and Man Factor based on RFID reader data transferred through network. For the study, microprocessor built in the controller of production facilities is used and also RFID reader is built additionally. Control part, card reader used for check the beginning and ending working time of workers, and Machine Factor and Man Factor calculated are transferred to server via PLC transmission port, serial transmission port, or Ethernet transmission port. By using the system, the production cost or the production efficiency is calculated exactly. Therefore it is possible to improve production rate and cost reduction by the use of the proposed production control system.

• International Journal of Contents
• /
• v.13 no.2
• /
• pp.57-65
• /
• 2017

Recently, due to the significance of Industry 4.0, the manufacturing industry is developing globally. Conventionally, the manufacturing industry generates a large volume of data that is often related to process, line and products. In this paper, we analyzed causes of defective products in the manufacturing process using the decision tree technique, that is a well-known technique used in data mining. We used data collected from the domestic manufacturing industry that includes Manufacturing Execution System (MES), Point of Production (POP), equipment data accumulated directly in equipment, in-process/external air-conditioning sensors and static electricity. We propose to implement a model using C4.5 decision tree algorithm. Specifically, the proposed decision tree model is modeled based on components of a specific part. We propose to identify the state of products, where the defect occurred and compare it with the generated decision tree model to determine the cause of the defect.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2014.11a
• /
• pp.1177-1180
• /
• 2014

본 논문은 생산설비 PLC(Programmable logic Controller) 데이터의 실시간 공유 플랫폼을 설계한다. 이 플랫폼은 자동화 설비를 보유하고 운영 중인 수출집약 중소기업에서 FTA(Free Trade Agreement) 체결 수입 상대국의 원산지 증명을 위한 생산 시험성적서 제출에 활용할 수 있고, 생산설비의 OPC 서버가 갖는 실시간 데이터를 수집하는 라이브러리를 활용하여 MES(Manufacturing Execution System)에서 생성되는 다양한 실시간 데이터를 활용하여 그래프, 생산관리 모니터링 및 설비 관리를 가능케한다. 따라서 중소기업이 생산관리, 공정관리, PLC 데이터공유 등에 필요한 수준별 분야별로 실시간 제조운영관리 시스템의 확대 보급이 가능하고, 생산설비의 실시간 제어가 가능하도록 설계한다.

• Review of KIISC
• /
• v.29 no.2
• /
• pp.36-47
• /
• 2019

4차 산업혁명이 본격화됨에 따라 스마트 제조 환경으로 변화하면서 제조 공장은 설비제어가 자동화되고 산업용 이더넷과 TCP/IP 기반으로 네트워크 연결되어 통합 운영되고 있으며 본사 비즈니스망의 MES, ERP, PLM 등과 연계되면서 랜섬웨어 등 악성코드 유입 및 외부 사이버 공격으로부터의 보안 위협이 높아지고 있다. 본 논문에서스마트 제조 공장에 대한 사이버 침입을 탐지하고 대응하기 위해 스마트 제조 환경에서의 이상징후 탐지 기술 현황을 분석한다. 먼저 ICS(Industrial Control System)에 대한 이상징후 탐지를 위해 ICS 위협 경로를 분석하고 스마트 제조 네트워크에서 사용되는 산업용 이더넷 프로토콜을 살펴본다. 다음으로 국내 제어망 이상징후 탐지 체계 구축 동향을 분석하고 제어망 이상징후 탐지 기술을 분류한다. 마지막으로 (주)앤앤에스피에서 과학기술정보통신부 과제로 수행하고 있는 "선제적인 제조공정 이상징후 인지" 연구과제의 수행 현황을 살펴본다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.05a
• /
• pp.579-580
• /
• 2016

In molds management systems using radio frequency identification (RFID), in the case where the RFID tag is lost, the RFID technology cannot be utilized to identify the location of the logistics. In order to solve this problem, a multi-sensor-based mold management system using RFID and infrared sensors is proposed in this paper. The proposed system uses RFID to identify the location of the mold and, by installing infrared sensors on the mold racks, the manager can identify the presence and location of the mold by reaffirming whether the mold exists in that location or not.

• International Journal of Internet, Broadcasting and Communication
• /
• v.13 no.3
• /
• pp.148-154
• /
• 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.

• Journal of the Korean Society of Food Science and Nutrition
• /
• v.36 no.12
• /
• pp.1503-1510
• /
• 2007

This study was carried out to investigate antioxidant substances (phenolic compounds and brown pigment), antioxidative effect and nitrite scavenging ability (NSA) of solvent extracts (hexane: HE, methanol; ME, water: WE) from fermented soybean foods, Chungkukjang and Doenjang. The antioxidant activities were determined by the measurements of peroxide value (POV) on the linoleic acid system, electron donating ability (EDA) and superoxide dismutase (SOD)-like activity. The contents of phenolic compounds and total brown pigments in Doenjang were $28.5{\pm}0.3mg/100g$ and optical density (OD) $1.98{\pm}0.03$, respectively, whereas their contents in Chungkukjang were significantly lower with $5.8{\pm}0.3mg/100g$ and OD $0.95{\pm}0.02$. The brown pigment contents of hydrophilic extracts increased more than that of lipophilic extracts through the fermentation and ripening processes. The ME of Doenjang exhibited higher inhibitory effects against the peroxidation of a linoleic acid system than that of Chungkukjang. The EDA and NSA of MEs were higher than those of WEs. Among the MEs, Doenjang showed the highest levels of EDA and NSA. On the other hand, the SOD-like activities of WE were higher than those of ME at the same concentrations and their activities of Doenjang were significantly higher than that of Chungkukjang. In conclusion, the antioxidative effects and NSA of Doenjang was significantly higher than those of Chungkukjang. It seemed that phenolic compounds and brown pigments formed during fermentation and ripening partly affect the antioxidative activities of fermented soybean foods.

• Bulletin of the Korean Chemical Society
• /
• v.31 no.2
• /
• pp.447-452
• /
• 2010

A series of 5-alkoxy-tetrazolo[1,5-a]quinolines were synthesized to evaluate their anticonvulsant and antidepressant effects. Anticonvulsant effects and neurotoxicity of the compounds when injected intraperitoneally to mice were determined by a maximal electroshock (MES) test and a rotarod test, respectively. Only three of the synthesized compounds (4a, 4b, 4c) displayed anticonvulsant activity at a dose of 300 mg/kg. Most of the compounds significantly reduced immobility times during the forced swimming test (FST) at a dose of 100 mg/kg, indicative of antidepressant activity. Among the compounds, 5-(2-fluorobenzyloxy)tetrazolo[1,5-a]quinoline (4k) reduced immobility time by 66.85% at 30 mg/kg compared with the same dose of Fluoxetine, which reduced immobility time by 52.30%. According to the results of the 5-Hydroxytryptophan induced head-twitch test and yohimbine toxicity potentiation test, the noradrenergic system seems not to be involved in the antidepressant-like effect of compound 4k while the serotonergic system seems a little to be involved.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
• /
• v.7 no.9
• /
• pp.259-269
• /
• 2017

As emerging the '4th Industrial Revolution' by increasing the necessity of the intelligent system recently, 'Autonomic Control System' also has been the important issue. It is necessary to develop the system collecting data of machines and sensors for the autonomic control system to monitor the target system. But it is difficult to collect data because data formats of machines and sensors of the existing factories differ between each manufacturer. Therefore, this paper presents and implements data collecting and processing system that comprise 3 steps including 'ParseBuffer', 'ProcessData' and 'AddToBuffer' by using 'MTConnect' that is standard manufacturing facility data collecting middleware. Through the suggested system, we can get data in a common format usable in an autonomous control system. As a case study, we experimented with the generation and collection of AGV (Automated Guided Vehicle) data, which is an unattended transportation system in the factory. To accomplish this, we defined the data type in accordance with the MTConnect standard and confirmed the data collected through the proposed system.