• The monthly packaging world
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• s.37
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• pp.88-89
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• 1996

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2003.05a
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• pp.118-122
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• 2003

본 연구를 시물레이션방법을 이용한 실린더 헤드라인 생산설비의 적정계획 및 성능산정을 위해 가용한 생산설비의 자료들로부터 요구되는 생산능력을 만족하는 생산설비를 구성한다. 구성된 설비들은 가용한 생산설비 운영조건을 고려한 가상의 시물레이션 모델로 구축하여 생산설비의 적정 구성 및 공정간의 재고 등을 산정한다. 시스템 성능 산정을 위해 본 연구에서는 AutoMod 시물레이터를 이용하여 실린더 헤드라인의 생산설비계획 문제에 적용한다. 본 연구는 다수의 생산설비를 이용한 설비계획 연구시 사전 분석과 능력산정 및 기존의 설비 운영 조건에 따른 생산능력산정에 유용할 수 있으며 3차원 동영상으로 분석 결과를 제시할 수 있다.

• Journal of Intelligence and Information Systems
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• v.15 no.4
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• pp.213-224
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• 2009

This paper describes a real-time scheduling system re-construction project for automated manufacturing at a 300mm wafer fab of Korean semiconductor manufacturing company. During executing this project, for each main operation such as clean, diffusion, deposition, photolithography, and metallization, each adopted scheduling algorithm was developed, and then those were implemented in a real-time scheduling system. In this paper, we focus on the scheduling algorithms and real-time scheduling system for clean and diffusion operations, that is, a serial-process block with the constraint of limited queue time and batch processors. After this project was completed, the automated manufacturing utilizations of clean and diffusion operations became around 91% and 83% respectively, which were about 50% and 10% at the beginning of this project. The automated manufacturing system reduces direct operating costs, increased throughput on the equipments, and suggests continuous and uninterrupted processings.

• The monthly packaging world
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• s.75
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• pp.138-141
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• 1999

• Journal of Korean Electronics
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• v.27 no.7
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• pp.17-19
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• 2007

• The monthly packaging world
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• s.67
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• pp.108-109
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• 1998

• The monthly packaging world
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• s.141
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• pp.128-131
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• 2005

• The monthly packaging world
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• s.130
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• pp.106-108
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• 2004

• Journal of the Korea Society for Simulation
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• v.18 no.4
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• pp.67-79
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• 2009

Because a product in the car industry has a short life cycle in recent years, the process planning and the manufacturing lines have to be changed frequently. Most of time, repositioning an existing facility and modifying used control information are faster than making completely new process planning. However, control information and control code such as PLC code are difficult to understand. Hence, industries prefer writing a new control code instead of using the existing complex one. It shows the lack of information reusability in the existing process planning. As a result, to reduce this redundancy and lack of reusability, we propose a SOS-Net modeling method. SOS-Net is a standard methodology used to describe control information. It is based on the Device Structure which consists of sensor information derived from device hardware information. Thus, SOS-Net can describe a real control state for automated manufacturing systems. The SOS-Net model is easy to understand and can be converted into PLC Code easily. It also enables to modify control information, thus increases the reusability of the new process planning. Proposed model in this paper plays an intermediary role between the process planning and PLC code generation. It can reduce the process planning and implementation time as well as cost.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1458-1464
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• 2007

Today, domestic and foreign manufacturing industries have to cope with obsolescence of manufacturing equipment because the shifting market trends drive the rapid changes in the production process resulting in stressful operation. Quality control process for manufacturing and production involves a familiar step - when the production process is completed, every item is subjected to various routine tests to determine that it meets the minimum quality standards. Typically, when a faulty product is found, the production line has to be stopped and the current batch is marked for further inspected and exhaustive testing. In this research, we propose a quality monitoring system for productivity enhancement. Our approach aims to reduces the operational down time in the production line of a car-component factory. The proposed monitoring system for productivity enhancement is designed to collect the data through testing at each phase of the assembly line and uses predictive methods on the collected data to achieve early detection of faults in the production process and minimize the number of products in a faulty batch thus minimizing the losses incurred from defective products. More importantly, this system aims to forecast and proactively detect faults and activate warnings when they are detected thus minimizing items in the defective batch, reducing the damage to manufacturing equipment and ultimately reducing the operational downtime or the delay in the resumption of normal factory operation.