• 한국콘텐츠학회논문지
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• 제20권2호
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• pp.197-202
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• 2020

창업보육센터는 창업 기업들에게 기술적인 지원에서부터 인적지원까지 다양한 서비스를 제공하는 중요한 역할을 하고 있다. 본 연구는 제조업 창업 기업에 초점을 맞추어 창업보육센터에서 제공하는 서비스 중에서 연구개발 지원과 양산 지원이 창업자의 실무 및 창업 경험과 기업의 성과 사이에 조절역할을 하는지에 대해 실증적인 연구를 실행하였다. 이를 위해 전국의 창업보육센터에 입주한 창업 기업들의 최고경영자들로부터 얻은 총 201부의 설문을 분석하였다. 이를 통해 창업보육센터의 양산 지원과 창업자의 창업 경험이 기업 성과에 유의한 조절효과를 보이는 가설이 채택되었다. 본 연구의 결과를 바탕으로 시사점을 제공하였다.

• Journal of the Korean Wood Science and Technology
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• 제29권3호
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• pp.59-67
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• 2001

Rice husk flours were analyzed by chemical composition and thermogravimetric methods in nitrogen atmosphere to discuss its feasibility as a raw material for manufacturing agricultural lignocellulosic fiber-thermoplastic polymer composite. It was revealed in the chemical composition analysis that rice husk flour was composed of moisture, 5.0%; lignin, 21.6%; holocellulose, 60.8%; ash, 12.6%. In the thermogravimetric analysis (TGA), thermal decomposition behavior of rice husk flour from room temperature to $350^{\circ}C$ was similar to that of wood flour, but rice husk flour was more thermally stable from 350 to $800^{\circ}C$ than wood flour because of higher silica content in the rice husk flour and smaller particle size of rice husk flour. The activation energy of thermal decomposition was evaluated using Flynn & Wall expression. As the thermal decomposition proceeded in rice husk flour, the activation energy of thermal decomposition appeared almost constant up to ${\alpha}=0.25$, but thereafter increased. Activation energy of thermal decomposition in wood flour, however, decreased steeply up to ${\alpha}=0.3$, but thereafter remained almost constant. From the results, rice husk flour was thought be a substitute for wood flour in manufacturing agricultural lignocellulosic fiber-thermoplastic polymer composite in the aspect of thermal decomposition.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2009년도 춘계학술대회 논문집
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• pp.365-370
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• 2009

LCA is a tool to support for making decisions by offering information of environmental aspects of products or services. It can be used to make decisions to consumers and NGOs as well as government and enterprises. LCA evaluates the environmental aspects throughout the entire life cycle of a product. Therefore it can quantify and assess environmental impacts from raw material acquisition, manufacturing, distribution, use and disposal to end of life and recycling. The demands of the recycling rate increase and the use of suitable materials for RoHS, REACH, WEEE, ELV which are linked trade with environmental regulation have increased the worldwide. Global warming is the critical challenge of the world facing. And under post-Kyoto protocol each country has to prepare for target reduction, so it became essential to save energy and resources. In addition that, the carbon mark has been run as the way of showing example of CO2 reduction in domestic and it will be extended gradually. And also through the introduction of Eco-label, environmentally-friendly product will be promoted. When those systems are operated, global warming gases (i.e. CO2) can be calculated throughout the entire life of the products by LCA. And the environmental impacts such as harmful material emission in the process of manufacturing, energy consumption, distribution and so on, can also be assessed. Therefore, The basic concepts of LCA technique and various cases and the practical application in the future will be review in this study.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.959-968
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• 2020

Research underlined that Small and Medium Enterprises' performance is enhanced by different types of innovation capabilities. This research tends to present a comprehensive model to explain the relationship between innovation capabilities and SMEs' financial and operational performance. Specifically, this study tends to achieve three objectives: explores the set of product, process, organizational and marketing innovation capabilities possessed by owners/managers of SMEs and their impact on Chinese manufacturing SMEs' operational and financial performance dimensions, identify the determinants of innovation capabilities, and determine the contextual factors that moderate innovation capabilities and SMEs' performance. This research employed a qualitative research method using in-depth interviews with eight owners/managers of Chinese manufacturing SMEs. Research findings revealed that product and marketing innovation capabilities have a significant impact on SMEs' financial performance while process and organizational innovation capabilities positively influence SMEs' operational performance. The major determinants of innovation capabilities involved availability of sufficient organizational resources, entrepreneurial orientation, knowledge development and external networks. The contextual moderating factors on the relationship between innovation capabilities and SMEs' performance involved internal factors which are: SME size, SMEs' owner/manager work experience, entrepreneurial mindset; and external factors: market dynamism and cooperation strategies. This paper ends by drawing some concluding remarks and proposing future research avenues.

• 산업경영시스템학회지
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• 제41권2호
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• pp.32-46
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• 2018

Research in the Servitization of Manufacturing has become focused more on cases than concepts over the past decade. This is because governments have emphasized some practical research with policies to support their industries. Manufacturers need differentiated strategies to gain competitiveness by servitization in the global market. They should examine how common servitization has become in the same industries and markets. They should also make sure how it works and for what purpose it is done since it is necessary to make the best decision to be able to distribute the limited resources most effectively to defeat the global competitors. South Korea has the sixth largest trade volume in the world, but Korean SMEs' marketing capabilities fall short compared to that of major global companies. This paper seeks to develop the proper model and its application for the servitization with global cases which are recommended for Korean SMEs. They need to check the urgency in servitization according to their products, industries and target markets. In addition, factors such as purposes, time and types of the servitization are examined to see how they are related each other. The most significant implication of this study is that the processes for early-stage companies in servitazation are modeled to help them make the best choices.

• 한국콘크리트학회:학술대회논문집
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• 한국콘크리트학회 2008년도 춘계 학술발표회 제20권1호
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• pp.493-496
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• 2008

최근의 경제성장 및 국민의 생활향상에 따라 폐기물 발생량도 증대되어 폐기물 처리문제가 심각해지고 있는 실정이며, 건설산업 현장과 연계된 자연보호와 자원의 절약 등이 중요한 이슈로 떠오르고 있어 건설공사의 수행과정에서 필연적으로 발생되는 건설폐기물의 관리와 재활용에 대한 관심도 증가하고 있다. 또한 구조물의 해체공사시 발생되는 폐콘크리트의 처리에 환경문제와 더불어 재활용에 대한 관심도 증가되고 있는 실정으로 고품질의 순환골재를 생산하기 위한 생산공정 기술에 대한 연구개발이 절실히 요구되고 있는 실정이다. 이에 본 연구에서는 기존 원통형롤크러셔의 접촉면적 축소와 파쇄물에 대한 파쇄효율 저하, 피 파쇄물의 튕김 현상과 장치내의 골재 체류시간 지체등과 같은 생산성 저하 등의 단점을 보완한 고효율의 성능을 발휘할 수 있도록 거터형의 롤크러셔를 적용한 순환골재 생산시스템을 제안하였으며 생산시스템의 성능평가 및 품질특성을 평가하였다.

• 한국산학기술학회논문지
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• 제7권1호
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• pp.89-95
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• 2006

공급사슬망에서 분산되어있는 제조시스템에 대한 생산 계획수립은 공급사슬관리의 주요 연구분야 중의 하나이다. 본 논문은 공급사슬망에서 자원제약을 갖는 다단계 다품목 로트사이즈 결정 문제(Multi-Level, multi-item Capacitated Lot Sizing Problem: MLCLSP)를 위한 알고리즘을 제시한다. MLCLSP는 MIP(mixed integer program) 문제에 해당한다. 제안된 알고리즘은 휴리스틱과 최적화 패키지인 LINGO를 이용해 서로 반복적인 방식으로 해를 풀어나가는 혼성적인 성격을 갖는다. 휴리스틱을 이용하여 정수형 변수를 결정한 후, 얻게 되는 LP(linear program) 문제를 LINGO를 이용하여 해를 개선해 나가는 방식을 기본으로 한다. 본 논문에서는 탐색 휴리스틱 기법으로 임의 재시작 타부탐색 알고리즘을 제시한다. 다양한 시나리오의 실험을 통해 제안된 알고리즘들의 성능을 평가한다.

• Safety and Health at Work
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• 제12권3호
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• pp.403-415
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• 2021

Background: This study aimed to assess the possibility of benzene exposure in workers of a Korean semiconductor manufacturing company by reviewing the issued patents. Methods: A systematic patent search was conducted with the Google "Advanced Patent Search" engine using the keywords "semiconductor" and "benzene" combined with all of the words accessed on January 24, 2016. Results: As a result of the search, we reviewed 75 patent documents filed by a Korean semiconductor manufacturing company from 1994 to 2010. From 22 patents, we found that benzene could have been used as one of the carbon sources in chemical vapor deposition for capacitor; as diamond-like carbon for solar cell, graphene formation, or etching for transition metal thin film; and as a solvent for dielectric film, silicon oxide layer, nanomaterials, photoresist, rise for immersion lithography, electrophotography, and quantum dot ink. Conclusion: Considering the date of patent filing, it is possible that workers in the chemical vapor deposition, immersion lithography, and graphene formation processes could be exposed to benzene from 1996 to 2010.

• 한국기계가공학회지
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• 제18권3호
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• pp.7-13
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• 2019

Recently, an automobile market used to natural gas has emerged as fast-growing as the several countries, who holds abundant natural fuel resources, has promoted to supply the national agency for an automobile car. LNG fuel vessel is more efficient in another way as the energy density is high, but it requires a high technology and investment to maintain extreme low temperature. CNG fuel vessel are relatively low-cost alternative to LNG, but poorly economical in terms of energy density as well as showing safety issues associated with compressed pressure. The development of adsorbed natural gas (ANG) has emerged as one of potential solutions. Therefore, it is desirable to reduce the weight of vessel by applying light-weighed a composite carbon fiber in order to response to the regulation of $CO_2$ emission. Herein, this study make the prototype ANG vessel not only based on the optimal design and analysis of material characteristic but also based on the shape design, and it suggest a new type for the composite carbon fiber vessel which verified functional test. Moreover, the detail shape design is analyzed by a finite element analysis, and its verifies the ANG vessel.

• 한국기계가공학회지
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• 제19권11호
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• pp.94-101
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• 2020

In the age of industry 4.0, artificial intelligence is being widely used to realize machinery condition monitoring. Due to their excellent performance and the ability to handle large volumes of data, machine learning techniques have been applied to realize the fault diagnosis of different equipment. In this study, we performed the failure mode effect analysis (FMEA) of an aluminum electrolytic capacitor by using deep learning and big data. Several tests were performed to identify the main failure mode of the aluminum electrolytic capacitor, and it was noted that the capacitance reduced significantly over time due to overheating. To reflect the capacitance degradation behavior over time, we employed the Vanilla long short-term memory (LSTM) neural network architecture. The LSTM neural network has been demonstrated to achieve excellent long-term predictions. The prediction results and metrics of the LSTM and Vanilla LSTM models were examined and compared. The Vanilla LSTM outperformed the conventional LSTM in terms of the computational resources and time required to predict the capacitance degradation.