• Journal of Korean Institute of Industrial Engineers
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• v.17 no.2
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• pp.51-61
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• 1991

This paper presents a heuristic method for the Assembly Line Balancing(ALB) of the large-sized product. In the ALB problem of the large-sized product such as bus and truck, the assignments of the Related Task Groups(RTG), the same side tasks, and team tasks should be considered. In this paper, a new concept of the RTG and two kinds of assignment rules are proposed to resolve the above considerations. The first assignment rule allots the RTG with the constraint of the same side tasks to the station while the second allots the RTG to the station, relaxing the above constraint to increase the applicability of the method. An assignment rule for team tasks is also presented. The benefits of the method are to improve work methods, to give more job satisfaction to workers, and to allow greater flexibility in the design of assembly lines.

• IE interfaces
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• v.12 no.1
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• pp.132-142
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• 1999

Two-sided (left- and right-sided) assembly lines in practice can provide several advantages over one-sided lines in terms of the required line length, throughput time, cost of tools and fixtures, and so on. This paper considers two-sided assembly line balancing with the objective of minimizing line length. The balancing problem is more complicated than that of one-sided lines due to sequence-dependency of tasks assigned to a pair of directly facing workstations. This paper shows how genetic algorithm can be used to solve two-sided assembly line balancing. For this, an encoding and a decoding method suitable to the problem are presented. Proper genetic operators and an evalutation function are also employed. Extensive computational experiments are carried out to show the efficacy of the proposed algorithm. The results show that the algorithm is viable and promising in solution quality and computation time.

• Journal of the Korea Safety Management & Science
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• v.4 no.2
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• pp.83-101
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• 2002

In this thesis presents line balancing problems of two-sided and mixed model assembly line widely used in practical fields using genetic algorithm for reducing throughput time, cost of tools and fixtures and improving flexibility of assembly lines. Two-sided and mixed model assembly line is a special type of production line where variety of product similar in product characteristics are assembled in both sides. This thesis proposes the genetic algorithm adequate to each step in tow-sided and mixed model assembly line with suitable presentation, individual, evaluation function, selection and genetic parameter. To confirm proposed genetic algorithm, we apply to increase the number of tasks in case study. And for evaluation the performance of proposed genetic algorithm, we compare to existing algorithm of one-sided and mixed model assembly line. The results show that the algorithm is outstanding in the problems with a larger number of stations or larger number of tasks.

• IE interfaces
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• v.23 no.1
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• pp.58-67
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• 2010

The purpose of this paper is to present the development processes of the assembly line tester of power transmission for lift truck. Because power transmission is most important part of lift truck, all assembled powertrain parts must be inspected for operational defects, pressures and RPM. Developed assembly line tester is designed to take about 25 minutes for inspecting each assembled power transmission and located it at the end of assembled line. The assembly line no-load tester consists of three parts: (1) the driving hardware part; for installing and operating the transmission. (2) control PCB part; send data from sensors to a computer and control driving part, (3) operation software of no-load tester; for an automatic inspection or manual inspection, for database management and printing transcripts.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.3
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• pp.16-22
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• 2019

Off-line programming and robot calibration through simulation are essential when setting up a robot in a robot automation production line. In this study, we developed a new robot calibration method to match the CAD data of the production line with the measurement data on the site using 3D scanner. The proposed method calibrates the robot using 3D point cloud data through Iterative Closest Point algorithm. Registration is performed in three steps. First, vertices connected by three planes are extracted from CAD data as feature points for registration. Three planes are reconstructed from the scan point data located around the extracted feature points to generate corresponding feature points. Finally, the transformation matrix is calculated by minimizing the distance between the feature points extracted through the ICP algorithm. As a result of applying the software to the automobile welding robot installation, the proposed method can calibrate the required accuracy to within 1.5mm and effectively shorten the set-up time, which took 5 hours per robot unit, to within 40 minutes. By using the developed system, it is possible to shorten the OLP working time of the car body assembly line, shorten the precision teaching time of the robot, improve the quality of the produced product and minimize the defect rate.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1996.04a
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• pp.737-740
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• 1996

This paper suggests a boltzman machine neural network model to determine model input sequences in line balancing process of mixed model assembly line. We first present a proper energy function, next determine the value of parameters using simulation process.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2009.06a
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• pp.671-672
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• 2009

• Proceedings of the KWS Conference
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• 2004.05a
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• pp.24-26
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• 2004

현재 박판조립라인에서 널리 사용되는 저항용접은 용접기술과 자동화 기술의 발달로 자동차, 가전제품 등의 분야에서 중요한 위치를 차지하고있다. 그러나 용접 품질의 좋고 나쁨은 육안으로 식별하기 어렵기 때문에 점용접의 품질 확보에 어려움을 겪고 있다. (중략)

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.3022-3024
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• 2005

연성 PCB(flexible printed circuit board)는 현재 노트북 PC와 디지털 카메라등에 적용되며, 굴곡성이 강하고 소형화 및 조립에 용이하여 주로 기판 사이나주기판과 외부 커넥터사이에 데이터의 전송매체로써 널리 사용되는 핵심부품이다. 근래에 개발되는 PCB 기반의 고성능 신호처리회로들은 데이터 전송율이 수백 MHz에서 수 GHz에 이르고 있으며, 신호선과 유전체, 접지판의 구조적 특성에 따라서, 반사 효과와 같은 신호무결성 문제들이 파생되어 신호의 최대성능을 제한하게된다. 이에 따라 적절한 임피던스 제어를 통하여 고성능신호들의 왜곡을 상쇄시키는 기술이 중요하게 되었다. 본 논문에서는 연성 PCB 전송라인을 위한 임피던스 모델을 대상으로 각 모델의 주요 특징 및 정확성을 분석하였다. 연성 PCB의 전송라인은 보통 전통적인 마이크로스트립 라인의 특성 임피던스 모델에 비해 신호선의 너비가 크며, 이를 반영한 개선된 수학적 임피던스 모델들이 제안되어 있다. 따라서 본 논문은 기존의 마이크로스트립 전송라인과 연성 PCB 전송라인에 적합한 수학적 모델들을 이용하여 신호 무결성 문제를 모의할 수 있는 CAE(computer-aided engineering) 도구의 임피던스 측정 결과를 비교 및 분석하였다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.35 no.8
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• pp.965-970
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• 2011

We develop a diagnostic system to monitor failures in an engine-assembly line. Existing techniques such as sensory analysis, time domain analysis, frequency analysis, and statistical analysis have limitations in the diagnosis of engine-assembly failure when there are abnormal vibration waveforms (crashing and damping signals) during the assembly. We use a wavelet technique to deal with crashing and damping signals. We also implement a new technique for developing diagnostic rules from sensor data, and we demonstrate its validity.