http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
데이터 공학 : 데이터마이닝 기법을 이용한 PCB 제조라인의 불량 혐의 공정 및 설비 분석
심현식 ( Hyun Sik Sim ),김창욱 ( Chang Ouk Kim ) 한국정보처리학회 2015 정보처리학회논문지. 소프트웨어 및 데이터 공학 Vol.4 No.2
In the PCB(Printed Circuit Board) manufacturing industry, the yield is an important management factor because it affects the product cost and quality significantly. In real situation, it is very hard to ensure a high yield in a manufacturing shop because products called chips are made through hundreds of nano-scale manufacturing processes. Therefore, in order to improve the yield, it is necessary to analyze main fault process and equipment that cause low PCB yield. This paper proposes a systematic approach to discover fault-causing processes and equipment by using a logistic regression and a stepwise variable selection procedure. We tested our approach with lot trace records of real work-site. A lot trace record consists of the equipment sequence that the lot passed through and the number of faults for each fault type in the lot. We demonstrated that the test results reflected the real situation of a PCB manufacturing line.
상관계수 기반 휴리스틱 기법과 GRNN을 이용한 PCB 공정에서의 중요 설비변수 추출
심현식 ( Hyun Sik Sim ) 한국경영공학회 2015 한국경영공학회지 Vol.20 No.2
In the PCB(Printed Circuit Board) manufacturing industry, the yield is an important management factor because it affects the product cost and quality significantly. In real situation, it is very difficult to ensure a high yield in a manufacturing shop because products called chips are made through hundreds of nano-scale manufacturing processes. Therefore, in order to improve the yield, it is necessary to analyze main fault process parameters and equipment parameters that cause a low PCB yield. This study extracts the critical equipment parameters that affect the yield through mutual analysis of equipment parameters(x) and the process parameters(y) generated in the processes of PCB manufacturing line. By using the correlation coefficients, the process parameters while minimizing the redundancy between equipment parameters were applied to extract the huristic algorithm critical equipment parameters that have the greatest impact. Also, by applying the GRNN, critical equipment parameters it was confirmed that affect the process parameters. We demonstrated that the test results reflected the real situation of a PCB manufacturing line.
심현식 ( Hyun Sik Sim ),원중연 ( Joong Yeon Won ) 한국경영공학회 2016 한국경영공학회지 Vol.21 No.2
MES(Manufacturing Execution System) is a management system for supporting various manufacturing activities in the manufacturing line. Recently MES has been introduced by many large manufacturing companies in order to reduce the gap between the production plan and execution in the field, by providing the real-time information for the status of the manufacturing field. But for the small and medium-sized manufacturing companies with variety of products, for example LED manufacturing companies, it is difficult to collect and control the production status in real time, because all the tasks in the line are done by hands by the operators. Furthermore, MES for the small and medium-sized manufacturing companies must be designed to reflect the user’s requirements and manufacturing process lines. However, existing MES solutions have difficulties in reflecting these requirements and controlling the manufacturing process. In this paper, we propose a flexible MES implementation approach for the small and medium-sized manufacturing companies, which analyzes the possible problems in controlling process, extracts key factors considering the user’s requirements, and constructs MES modules by mapping key factors into MES system. We implement the proposed flexible MES approach to the LED manufacturing company and illustrate the effectiveness of the flexible MES.
김하용(Kim, Ha-Yong),심현식(Sim, Hyun-Sik),이종원(Lee, Chong-Won),강태하(Kang, Tae-Ha) 한국소음진동공학회 2005 한국소음진동공학회 논문집 Vol.15 No.3
The active magnetic bearing (AMB) systems mounted in moving vehicles are exposed to the disturbances due to the base motion, often leading to malfunction or damage as well as inaccurate positioning of the systems. Thus, in the controller design of such AMB systems, robustness to base disturbances becomes an essential requirement. In this study, effective control schemes are proposed for the homo-polar AMB system, which uses permanent magnets for generation of bias magnetic flux, when it is subject to base motion, and its control performance is experimentally evaluated. The base motion of AMB system is modeled as the dynamic disturbances in the gravity and base excitation forces. To effectively compensate for the disturbances, the angle feed-forward controller based on the inverse dynamic model and the acceleration feed-forward controller based on the normalized filtered-X LMS algorithm are proposed. The performance test of the prototype AMB system is carried out, when the system is mounted on rate table. The experimental results show that the performance of the proposed controllers for the AMB system is satisfactory in compensating for the disturbances due to the base motion.