• 디지털산업정보학회논문지
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• 제6권4호
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• pp.21-31
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• 2010

A manufacturing execution system in the process according to automation system of installation management has been growing interest about effective system design and effective system manage. In this paper, we propose an ubiquitous Manufacturing Execution System based on RFID/USN for checkup monitoring and history management of installation in manufacturing execution systems. For this, we design and implement installation history and statistics management system based on RFID grafting RFID for efficient installation equipment history and statistics management of ubiquitous Manufacturing Execution System, and was implemented checkup monitoring system based on USN using temperature sensor, humidity sensor, hydraulic pressure sensor for failure prevention of ubiquitous Manufacturing Execution System. And proposed ubiquitous Manufacturing Execution System is implemented based on JSP for access through Web in real time.

• 정보처리학회논문지:소프트웨어 및 데이터공학
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• 제4권2호
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• pp.65-70
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• 2015

PCB(Printed Circuit Board) 제조공정에서의 수율은 제품의 원가와 품질을 결정하는 중요한 관리 요인이다. PCB 제조공정은 일반적으로 많은 단계의 미세공정을 거쳐서 제품인 칩(Chip)이 생산되기 때문에 높은 수율을 보장하기가 현실적으로 어렵다. 제품의 수율을 향상시키기 위해서는 저수율의 원인이 되는 불량요인을 분석하고, 불량요인에 영향을 미치는 중요공정 및 설비를 찾아서 관리해야 한다. 본 연구는 로지스틱 회귀분석 및 변수선택법을 이용하여 혐의공정 및 설비를 찾는 방법을 제안하였다. 데이터는 실제 현장의 로트 데이터를 사용하였고, 각 로트는 진행한 설비 및 불량유형별 불량수를 갖고 있다. 또한 분석 결과는 실제 현장 확인을 통하여 수율에 미치는 영향을 확인하였다.

• 대한인간공학회지
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• 제36권3호
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• pp.231-244
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• 2017

Objective: This study aims to understand the occupational injury characteristics of the workers in the motor vehicle parts (automobile parts) manufacturing industry and to present basic guidelines on accident prevention through accident analysis. Background: There occur many occupational injuries in the motor vehicle parts manufacturing industry. But there were few researches for the occupational injuries of the workers in the motor vehicle parts manufacturing industry. Method: This study analyzed the data of occupational injuries of 1,609 workers in the motor vehicle parts manufacturing industry in 2015. The accident characteristics were analyzed by dividing them into worker related factors and accident related factors. Results: Among the occupational injuries of the workers in the motor vehicle parts manufacturing industry, 80.6% of the victims were males, 64.0% were older than 40. 57.8% of the victims were employed by the companies with less than 50 workers. In addition, there was a difference in accident characteristics according to age, work experience, employment type, events or exposures, accident time of the day, agents, natures of injuries and illnesses, injured organs and injured body part. Conclusion: It is important to prevent equipment/machinery accidents. For this purpose, more efforts should be made to establish safety measures faithful to the basics of safety devices and safety work procedures. It is also suggested that prevention of disasters should be intensively carried out for workplaces with less than 50 employees and middle-aged and elderly people. Application: The result can be used to present guidelines for preventative measures for the workers in the motor vehicle parts manufacturing industry including safety education/training.

• 대한안전경영과학회:학술대회논문집
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• 대한안전경영과학회 2007년도 추계학술대회
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• pp.107-119
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• 2007

The purpose of this article is to examine the relationship between unsafe behavior, human factor and human error. For the object, several correlation analyses for those three elements were implemented. Several hypotheses for the relationship between them was suggested. The suggested hypotheses were verified by a comprehensive survey received from 132 safety manager of manufacturing industry. The conclusions were proven from the hypotheses verificaiton as belows; 1) The dependent relation items between unsafe behavior and human factor are dress protection tool, machine(equipment) and working rule have a dependent relation. 2) The dependent relation items between human factor and human error are uncommunication, control, slaps, fatigue, education, system, unmonitoring, failure. 3) The dependent relation items between human error and unsfafe behavior are decline and product/working method,failure and uncommunication have a dependent relation.

• 한국산업융합학회 논문집
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• 제7권2호
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• pp.193-198
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• 2004

This is the dissertation of the study of design characteristics about the practical flexible manufacturing system (PFMS). The basic ideas to analyze the manufacturing system which is the automatically operated is dependant on the various manufacturing procedures in factory. PFMS is the very useful equipment for students and trainee of production lines. This system is composed of hardware and software sub systems i.e. control and test unit and personal computer with software. The PFMS can be developed with design concepts and approved the capability of first article with functional tests. The PFMS module will be very useful for the manufacturing drill system in universities and practical fields. The flexible manufacturing systems have various subsystems appropriated for the final manufacturing products. Therefore the systems have the various kinds of hard wares as well as softwares. We study the software for the practical flexible manufacturing system designed in the Halla University and specially the design concept and using specification of the SCARA (Selective Compliance Assembly Robot Arm) robot which is used for the movement of the product is analyzed and introduced in this dissertation.

• 지능정보연구
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• 제29권4호
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• pp.415-430
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• 2023

소재·부품·장비 산업은 중소기업 중심의 제조업 경쟁력의 원천이 되는 지역경제 활성화에 중요한 산업이다. 충청지역 소재·부품·장비 산업의 경쟁력 분석을 통해 소재·부품·장비 산업 발전에 필요한 시사점을 도출 하고자 충청지역의 소재·부품·장비 산업을 대상으로 사업체 규모계수, 산업 성장률, 산업 특화도, 변이할당분석 기법의 지역 경쟁력 수치 등에 기반하여 각 권역별(대전, 세종, 충남, 충북) 산업 발전 단계 및 경쟁력을 분석하였다. 2014년 및 2019년의 종업원수, 사업체수 및 생산액 등의 자료를 이용하여 산업의 특화 수준과 지역 경쟁력이 고려된 유의미한 권역별 산업군을 확인하고, 이들 유의미한 산업군에 대한 산업 발전 단계상에서의 위치를 파악하여, 충청지역 소재·부품·장비 산업의 발전을 위한 시사점을 제시하였다.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 추계학술대회
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• pp.69-71
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• 2018

대한민국의 제조 산업을 둘러보면 현재 노후화된 제조 공장이 많다. 실제로 제조 공장에서 제품의 재고관리나 제품의 단가 관리 등을 전부 엑셀을 만들어 수기로 작성하거나 그것을 이용하여 공장을 운영 하고 있다. 또한 작업자가 작업 시 해당 제품을 만들기 위해 설비에 대해 고장을 예측 할 수가 없다. 이에 관한 문제점으로 관리자 및 작업자 사이의 지시 및 작업 과정에서 해당 문서가 손실 될 수 있으며 관리자와 작업자의 의사소통이 제대로 되지 않아 재고관리나 해당 지시한 작업에 대해 제대로 작업량을 채우지 못하고 또한 작업자가 해당 설비에 대해 고장을 인지하지 못하고 그 설비를 계속 사용하여 작업을 진행하는 상황이 발생한다. 이에 따라 효율적인 재고관리와 단가관리, 생산량 파악 및 작업자의 해당 설비의 고장예지를 미리 예측하여 제품의 생산성 및 생산량을 높이기 위해 본 연구인 노후화 된 제조공장의 고도화 방법에 관한 연구를 진행 해보자 한다.

• 산업경영시스템학회지
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• 제34권4호
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• pp.57-65
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• 2011

Monitoring auto correlated processes is prevalent in recent manufacturing environments. As a proactive control for manufacturing processes is emphasized especially in the semiconductor industry, it is natural to monitor real-time status of equipment through sensor rather than resultant output status of the processes. Equipment's sensor data show various forms of correlation features. Among them, considerable amount of sensor data, statistically autocorrelated, is well represented by Box-Jenkins autoregressive moving average (ARMA) model. In this paper, we present a design method of statistical process control (SPC) used for monitoring processes represented by the ARMA model. The proposed method shows benefits in the power of detecting process changes, and considers robustness to ARMA modeling errors simultaneously. We prove benefits through Monte carlo simulation-based investigations.

• 반도체디스플레이기술학회지
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• 제10권2호
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• pp.1-5
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• 2011

In recent years, worldwide production of solar wafers increased rapidly. Therefore, the solar wafer technology in the developed countries already has become an industry, and related industries such as solar wafer manufacturing equipment have developed rapidly. In this paper we propose the color classification method of the polycrystalline solar wafer that needed in manufacturing equipment. The solar wafer produced in the manufacturing process does not have a uniform color. Therefore, the solar wafer panels made with insensitive color uniformity will fall off the aesthetics. Gaussian mixture models (GMM) are among the most statistically mature methods for clustering and we use the Gaussian mixture models for the classification of the polycrystalline solar wafers. In addition, we compare the performance of the color feature vector from various color space for color classification. Experimental results show that the feature vector from YCbCr color space has the most efficient performance and the correct classification rate is 97.4%.

• 대한조선학회논문집
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• 제58권5호
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• pp.294-302
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• 2021

In this study, the 3D printing technique called design for additive manufacturing (DfAM) that is widely used in various industries was applied to marine leisure ships of equipment. The DfAM for the stanchion for crew safety was applied to the equipment used in an actual recreational craft. As design constraints, the design alternatives were not to exceed the safety and weight of the existing stainless steel material, which were reviewed, and the production of a low-cost FFF-type 3D printing method that can be used even in small shipyards was considered. Until now, additive manufacturing has been used for manufacturing only prototypes owing to its limitations of high manufacturing cost and low strength; however, in this study, it was applied to the mass production process to replace existing products. Thus, a design was developed with low manufacturing cost, adequate performance maintenance, and increased design freedom, and the optimal design was derived via structural analysis comparisons for each design alternative. In addition, a life-cycle assessment based on the ISO 1404X was conducted to develop sustainable products. Through this study, the effectiveness of additive manufacturing was examined for future applications in the shipbuilding industry.