• 디지털융복합연구
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• 제12권1호
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• pp.305-311
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• 2014

제조업에서는 경쟁우위 확보를 위해 일찍이 설계, 생산 과정의 자동화와 정보시스템을 도입하였다. 대표적인 정보시스템 중 하나가 제조실행시스템(Manufacturing Execution System)인데, 이러한 제조실행시스템은 진화를 거듭해 왔다. 최근 빅데이터가 등장하면서 MES도 빅데이터 적용 방안이 모색되고 있다. 이에 본 연구는 먼저 제조 분야에서의 빅데이터 활용에 대한 선행 연구 및 사례 분석을 토대로 MES에의 빅데이터 적용모델을 제안할 것이다.

• 대한산업공학회지
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• 제41권6호
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• pp.579-587
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• 2015

Semiconductor manufacturing industry is a high density integration industry because it generates a vest number of data that takes about 300~400 processes that is supervised by numerous production parameters. It is asked of engineers to understand the correlation between different stages of the manufacturing process which is crucial in reducing production costs. With complex manufacturing processes, and defect processing time being the main cause. In the past, it was possible to grasp the corelation among manufacturing process stages through the engineer's domain knowledge. However, It is impossible to understand the corelation among manufacturing processes nowadays due to high density integration in current semiconductor manufacturing. in this paper we propose a canonical correlation analysis (CCA) using both wafer test voltage variables and fail bit counts variables. using the method we suggested, we can increase the semiconductor yield which is the result of the package test.

• 대한조선학회논문집
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• 제43권2호
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• pp.228-235
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• 2006

Nowadays, digital manufacturing has been known to be very effective method in manufacturing fields. It is aimed to estimate process time, to improve operation efficiency, and to prevent bottleneck processes in advance of real manufacturing. This paper addresses a scheduling support system for panel hues in a shipyard through digital manufacturing simulation. The proposed system supports operators to make better decisions on the shop-floor scheduling in panel lines. It ,would provide a complete schedule that is at least as good as any schedule currently obtained. Furthermore, it can evaluate the operator's schedule by simulating it with 3-dimensional models before the work orders and schedules are released.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권3호
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• pp.1385-1402
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• 2019

Quickly picking up some valuable information from massive manufacturing event stream usually faces with the problem of long detection time, high memory consumption and low detection efficiency due to its stream characteristics of large volume, high velocity, many variety and small value. Aiming to solve the problem above for the current complex event processing methods because of not sharing detection during the detecting process for massive manufacturing event streams, an efficient complex event processing method based on multipattern sharing is presented in this paper. The achievement of this paper lies that a multipattern sharing technology is successfully used to realize the quick detection of complex event for massive manufacturing event streams. Specially, in our scheme, we firstly use pattern sharing technology to merge all the same prefix, suffix, or subpattern that existed in single pattern complex event detection models into a multiple pattern complex event detection model, then we use the new detection model to realize the quick detection for complex events from massive manufacturing event streams, as a result, our scheme can effectively solve the problems above by reducing lots of redundant building, storing, searching and calculating operations with pattern sharing technology. At the end of this paper, we use some simulation experiments to prove that our proposed multiple pattern processing scheme outperforms some general processing methods in current as a whole.

• 한국초전도ㆍ저온공학회논문지
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• 제24권1호
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• pp.8-12
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• 2022

Recently, research on applying composite materials to various industrial fields is being actively conducted. In particular, composite materials fabricated by Fused Deposition Modeling 3D printers have more advantages than existing materials as they have fewer restrictions on manufacturing shape, reduce the time required, weight. With these advantages, it is possible to consider utilizing composite materials in cryogenic environments such as the application of liquid oxygen and liquid hydrogen, which are mainly used in an aerospace and mobility. However, FDM composite materials are not verified in cryogenic environments less than 150K. This study evaluates the characteristics of composite materials such as tensile strength and strain using a UTM (Universal Testing Machine). The specimen is immersed in liquid nitrogen (77 K) to cool down during the test. The specimen is fabricated using 3D print, and can be manufactured by stacking reinforced fibers such as carbon fiber, fiber glass, and aramid fiber (Kevlar) with base material (Onyx). For the experimental method and specimen shape, international standards ASTM D638 and ASTM D3039 for tensile testing of composite materials were referenced.

• Current Optics and Photonics
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• 제7권6호
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• pp.638-654
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• 2023

Holography is generally known as a technology that records and reconstructs 3D images by simultaneously capturing the intensity and phase information of light. Two or more interfering beams and illumination of this interference pattern onto a photosensitive recording medium allow us to control both the intensity and phase of light. Holography has found widespread applications not only in 3D imaging but also in manufacturing. In fact, it has been commonly used in semiconductor manufacturing, where interference light patterns are applied to photolithography, effectively reducing the half-pitch and period of line patterns, and enhancing the resolution of lithography. Moreover, holography can be used for the manufacturing of 3D regular structures (3D photonic crystals), not just surface patterns such as 1D or 2D gratings, and this can be broadly divided into (i) holographic recording and (ii) holographic lithography. In this review, we conceptually contrast two seemingly similar but fundamentally different manufacturing methods: holographic recording and holographic lithography. We comprehensively describe the differences in the manufacturing processes and the resulting structural features, as well as elucidate the distinctions in the diffractive optical properties that can be derived from them. Lastly, we aim to summarize the unique perspectives through which each method can appear distinct, with the intention of sharing information about this field with both experts and non-experts alike.

• 복식
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• 제38권
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• pp.289-304
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• 1998

In Korean clothing industry, most of the manufactures produce garments by subcon-tractors partially or entirely. It is very often that the design part is remote from production part and there is miscommunication between these two parts resulting dissatisfaction to both. Therefore it is very important to communicate the manufacturing information clearly and quickly to produce garments exactly the design part intended. Also to automate the clothing out how to produce and use the information objectively and efficiently. As a first step of moving to automation, the purpose of the research is to find out how manufacturing information and data are communicated in clothing manufacturing at present. In order to follow the information flow of a cer-tain manufacturer, the case study method was used. The case study samples were 12 clothing firms of 13 brands. The results and suggestions are as follows :- 1. A manufacturing information is communicated through paper documents such as“Production Order”, sample and patterns. At present, a production order sheet is the most efficient communication media, which comprises most of the information being communicated. 2. A manufacturing information comprises control information on the product, design in-formation, pattern information, cutting information, material information, sewing information, production schedule information, quality control information, costing information and information about the subcontractors. 3. A manufacturing is not quite objective except pattern information and cutting information which is presented by CAD systems. The communication of design information and sewing information should be somehow more objective. 4. There is not much information from a subcontractor. Considering that a subcontractor is the other partener of the communication, more information from the subcontractor is required for both benefit. 5. A designer produce most of the manufacturing information, but the information is communicated through a production manager to the subcontractor. The difference between the information maker and information communicator can cause any miscommunication. In future automated manufacturing, it will be possible for the designer to communicate to the manufacturer directly from the early stage of designing.

• Nano
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• 제13권11호
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• pp.1850130.1-1850130.12
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• 2018

A novel strontium titanate/binary metal sulfide ($SrTiO_3/SnCoS_4$) heterostructure was synthesized by a simple two-step hydrothermal method. The visible-light-driven photocatalytic performance of $SrTiO_3/SnCoS_4$ composites was evaluated in the degradation of methyl orange (MO) under visible light irradiation. The photocatalytic performance of $SrTiO_3/SnCoS_4-5%$ is much higher than that of pure $SrTiO_3$, $SnCoS_4$, $SrTiO_3/SnS_2$ and $SrTiO_3/CoS_2$. The $SrTiO_3/SnCoS_4$ composite material with 5 wt.% of $SnCoS_4$ showed the highest photocatalytic efficiency for MO degradation, and the degradation rate could reach 95% after 140 min irradiation time. The enhanced photocatalytic activity was ascribed to not only the improvement of visible light absorption efficiency, but also the construction of a heterostructure which make it possible to effectively separate photoexcited electrons and holes in the two-phase interface.

• 한국건설관리학회논문집
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• 제23권6호
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• pp.119-124
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• 2022

최근 적층제조기술을 활용한 건축 상품 시공방법이 제안되고 있다. 적층제조기술은 건축 상품 시공과정을 자동화하여 작업자 안전을 확보한다. 또한, 비정형 형상의 구현효율성이 높아 건축물과 기반시설제조과정에 적용 가능성을 주목 받고 있다. 적층제조기술은 현대의 건설 산업에서 요구되는 컴퓨터 기반의 시공자동화, 자원관리, 시공기간예측 등을 만족할 수 있는 기술이다. 하지만, 아직 부족한 누적 데이터와 표준, 규제, 운영방법 등에 의해 산업 적용이 제한되고 있다. 본 연구에서는 건축 적층제조기술 적용가능성을 분석하기 위해 2개의 적층제조시스템으로 건축 상품을 제조한다. 또한 각 건축 상품은 적층생산결정모델을 통해 적합한 제조시스템으로 투입하는 방법이 적용되고, 실증 실험을 통해 제조과정의 문제를 확인한다. 결과적으로 건축 상품의 품질 향상을 위한 확장된 적층생산결정모델을 제안한다.

• 아태비즈니스연구
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• 제14권2호
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• pp.1-15
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• 2023

Purpose - This study investigates whether the inventory levels of Korean manufacturing firms increased or decreased from 2000 to 2019. We also explore the relationship between inventory levels and firm performance. Design/methodology/approach - We use panel data on KOSPI-listed firms in the manufacturing industry. We measure days in inventory as a proxy for inventory levels, and firm performance is measured by return on assets, return on sales, and EBITDA ratio. The panel data regression method is employed in our analysis. Findings - We find that days in inventory of Korean manufacturing firms significantly increased from 2000 to 2019, especially for raw materials and finished goods inventory. In addition, while days in inventory of large- and medium-sized firms were less than those of small-sized firms, the change in days in inventory of large- and medium-sized firms was positively significant over time. Moreover, the increase in days in inventory was more prevalent among industries related to foods, clothes, chemicals, and transportation. Finally, we show that the days in inventory are negatively related to firm performance. Research implications or Originality - While the Korean manufacturing industry has enormously grown over the last 20 years and managing inventory is critical in the manufacturing industry, our findings counter-intuitively show that the days in inventory of the Korean manufacturing industry had been gradually increased. We speculate that the increase in days in inventory is due to the Korean manufacturing firms' heavy reliance on global supply chains.