• Title, Summary, Keyword: 자본집약도

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The Study of Event Graph Modeling for Material Handling System in Semiconductor Fab (반도체 fab 라인의 물류 설비 모델링 방법론에 대한 연구)

  • Lee Jin-Hwi;Choi Byoung-Kyu
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • pp.1765-1770
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    • 2006
  • 본 논문에서는 반도체 fab 라인의 물류 설비를 event graph로 모델링 하는 방법론을 제안하고 있다. 최근 반도체 fab 라인 같은 대표적인 자본 집약적 제조라인에서는 운영단계에서 투입 계획, PM schedule 및 operation rule 등을 변화시켜 가며 평가 및 검증해 볼 수 있는 what-if simulation을 위한 line simulator의 필요성이 점점 높아지고 있다. 그러나 상용 simulator는 각 제조라인의 특성에 맞게 customization하는데 많은 시간과 비용이 소요될 뿐만 아니라 특성을 반영하는데 한계가 있다. 따라서 이러한 line simulator를 개발할 때 근간이 되는 설비의 simulation model이 필요하다. 이 때 설비들은 생산(processing) 및 물류(handling) 설비로 나눌 수 있는데, 본 논문에서는 반도체 fab 라인의 물류 설비 모델링 방법을 제시하고 실제 물류 설비를 모델링 해 봄으로써 그 효용성을 알아본다.

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A study of marine aquaculture management strategies using remotely-sensed satellite data - a case study on Hallyeo Marine National Park (위성영상을 이용한 해상 양식장 관리방안 연구 - 한려해상 국립공원 지역을 사례로)

  • 장은미;박경
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • pp.329-334
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    • 2004
  • 이 연구는 한려해상국립공원 지역을 사례 지역으로 해상양식장 면적변화 등 변화탐지에 목적을 두고 1984년의 위성영상과 최근에 촬영된 LANDSAT 위성영상을 이용하여, 변화탐지기술과 영상처리기술을 활용 국립공원 경계내부의 양식장 현황파악과 변화과정을 모니터링하고 국립공원 관리에 활용할 수 있도록 시행되었다. 연구결과 1984년 3월 당시의 양식장 면적에 비해 2002년 4월의 양식장 면적이 63% 가량 감소한 것으로 나타나는데 이는 과거 통영만과 거제만 전처에 골고루 분포하고 있던 해상양식장이 2002년도에는 거제만 부근으로 집중하고 있는 것으로 분석되고 있다. 그 원인으로는 넙치와 우럭과 같은 고급어종을 기르는 해상가두리 양식장 형태의 자본ㆍ노동집약적인 양식으로 진행되어 가고 있는 추세를 반영하고 있다.

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Studying for Agriculture Informationization using Big Data (빅데이터를 이용한 농업 정보화에 대한 연구)

  • Yun, Da Young;Song, Jeo;Lee, Sang Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • pp.461-462
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    • 2014
  • 모든 산업에서 정보화의 중요성을 언급하고 있는 것처럼 농업부문에서도 농업정보화는 우리나라의 농업이 세계의 농업 속에서 살아남을 수 있는 길이다. 미국과 EU를 비롯한 여러 국가들과의 FTA 체결 등으로 "21C의 농업은 국경이 무너졌다"는 말이 나올 정도로 기존의 농업처럼 국가의 보호아래 있는 것이 아니라 다른 국가의 농민들과 경쟁을 해야 하는 농업으로 바뀌었다. 우리 나라 농업도 정보자원을 증대시켜 토지, 노동, 자본 등 전통적 자원의 열위를 극복하여야 하며, 이를 위해 정부는 물론 농업의 주체들이 모두 정보화에 적극적으로 나서서 농업을 정보집약 산업으로 육성시켜야 한다는 필요성을 느끼고 있으며 계속적인 정보화사업을 추진하고 있다. 본 연구에서는 기존의 농업용 S/W와 빅데이터 등의 최신 ICT 기술의 연계 및 활용 방안을 제시하고자 한다.

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Study on the Effects of R&D Activities on the Exports of Korean Economy (R&D투자가 한국경제 수출에 미치는 영향 분석)

  • Kim Byung-Woo
    • Journal of Technology Innovation
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    • v.14 no.1
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    • pp.31-66
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    • 2006
  • The country with a relative abundance of human capital conducts relatively more R&D in the steady state than its partner. This country acquires the know-how to produce a relatively wider range of innovative goods. High technology comprises a large share of the national economy in the human-capital rich country and real output growth is faster. This prediction would seem to accord weakly with empirical observation of Korean economy.

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A Comparative Analysis on the Characteristics of ODI by Korean and Japanese Firms into Asian Continent (한국·일본의 대 아시아지역 직접투자 특성의 비교분석)

  • Kim, Seong Ki;Chae, Doo Byung;Kang, Han Gyoun
    • International Area Studies Review
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    • v.14 no.3
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    • pp.267-289
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    • 2010
  • The purpose of this paper is to compare the different characteristics of Korean and Japanese Overseas Direct Investment(ODI) in Asia. An empirical test consists of two parts, the determinants of ODI and the micro characteristics of subsidiaries in Asia between Korea and Japan. Multiple regression and logistic regression model are used in empirical tests as methodology. The coefficient of GDP is significant and positive sign to sole venture in both countries. The coefficient of CPA in Korea is significant and positive sign to joint venture but insignificant in Japan. The coefficient of WAGE in Korea is significant and positive sign to joint venture but is significant and negative sign to joint venture in Japan. The coefficient of LBIT is significant and positive sign to joint venture in Japan. The coefficient of HOME is significant and positive sign to sole venture in both countries.

Analysis of Sawmill Productivity and Optimum Combination of Production Factors (제재생산성(製材生産性)과 적정생산요소투입량(適正生産要素投入量) 계측(計測))

  • Cho, Woong Hyuk
    • Journal of Korean Society of Forest Science
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    • v.32 no.1
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    • pp.29-35
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    • 1976
  • In order to estimate sawmill productivities, rates of technical change and optimum combination of production factors, Cobb-Douglas production functions have been derived using data obtained from 96 sample mills in Busan-Incheon, southwestern and northeastern areas. The results may be summarized as follows: 1. There is a tendency of expanding average sawmill size in the areas. The horse-power holdings per mill have been increased at the rates of 91 percent in Busan-Incheon, 7.7 percent in southwestern and 16.9 percent in northeastern areas. This implies that the mills around log-importing ports have made rapid development, compared with those in forest regions. 2. The regression coefficients (production elasticities) of the functions for the year of 1967 in the above three areas are much similar each other, but significant differencies are found in the production functions of 1975. In other words, sawmill productivity was mainly restricted by capital deficiencies in all areas in 1967, but this situation was succeeded only by N-E area in 1975. The range of sum of regression coefficients is 1.0437-1.4214, this indicates increasing rates of return to scale. 3. The annual rates of technical changes in B-I, S-W and N-E areas for the observed period are 17.6, 7.6 and 2.2 percents respectively. Busan-Incheon is the only area where labor productivity is higher than that of capital. 4. The best combination of production factors for maximizing firm's profit is subject to the changes of input and output prices. With some assumptions of prices and costs, the optimum levels of power and labor input in B-I, S-W and N-E areas are 57:17, 427:94 and 192:27.

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An analysis of determinants for artificial intelligence industry competitiveness (인공지능 산업의 국가 경쟁력 결정요인 분석)

  • Hong, Jae-Pyo;Kim, Eun-Jung;Park, Ho-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.4
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    • pp.663-671
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    • 2017
  • This study analyzed the determinants influencing competitiveness of artificial intelligence industry of Korea. Analysis showed that the factors having the greatest influence on the national competitiveness of the artificial intelligence industry were, in decreasing order of importance, R&D, capital, and ICT competitiveness. Given the capital-intensive characteristic of the artificial intelligence technology, it is important to enhance the national R&D capacity in artificial intelligence technology and ICT, and to make substantial investments in the establishment of related infrastructure. Considering that the development and utilization of ICT infrastructure serves as the basis for artificial intelligence technology, the high standards of Korean consumers are expected to have a positive catalytic effect on the acquisition of national competitiveness for the artificial intelligence industry. For companies to respond in a timely manner to the rapid dissemination and high impact of artificial intelligence technology, they must prepare for such advancements by improving their competencies.

The Relative Productivity to the Technology Frontier and Korea's Productivity Growth (기술선도국과의 상대적 생산성 수준과 한국 제조업 생산성간의 관계)

  • Choi, Yong-Seok
    • International Area Studies Review
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    • v.12 no.2
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    • pp.99-123
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    • 2008
  • In this paper, technology gap between Korea's manufacturing industries compared to technology frontier countries was estimated in order to take into account Korea's status as a technology follower country. Then by using this measure the role of technology gap was investigated in explaining total factor productivity growth of the Korean manufacturing at industry level. The main empirical findings are as follows: First, the conventional factors that were emphasized in the previous literature such as R&D intensity, trade openness and human capital play important role in explaining the growth rate of Korea's total factor productivity. Second, the larger the technology gap between Korea and technology leader country (and the faster the technology growth rate in the leader country), the higher the growth rate of total factor productivity in Korea as well. Third when the technology gap is large, the most efficient way of absorbing higher technology from frontier country seems to be the international trade channel rather than R&D or human capital accumulation.

An Analysis on the Effects of Economic Growth and Environmental Pollution by Openness (개방화가 한국의 경제성장과 환경오염에 미치는 영향 분석)

  • Cho, Sung Taek;Cho, Yongsung
    • International Area Studies Review
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    • v.13 no.3
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    • pp.269-286
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    • 2009
  • The aim of the paper is to study environmental impacts of openness and trade in korea, and analyze the relationships between trade, development and environment. This study established endogenous determinants such as inflow FDI, level of environmental pollution and economic growth, and assumed a proposition that each individual variables are in two-way relationships among the three key variables such as the openness, the environment and GDP. To estimate a system of equations, a simultaneous equation model is used because the simultaneity problems are formidable. The results show that the more openness and economic growth increase, the more level of environmental quality improve. This study also found that FDI and openness, and economic growth bring along the level of environmental quality.

Productivity and Patterns of Trade: The Experience of Korea in the 1990s (생산성과 무역패턴: 1990년대의 한국경제의 경험)

  • Tcha, MoonJoong
    • KDI Journal of Economic Policy
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    • v.26 no.2
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    • pp.249-280
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    • 2004
  • This paper analyzes the industrial growth of Korea in the 1990s and its relationship with the nation's export performance. The result shows that total factor productivity (TFP) played a significant role in the growth of some industries, where in particular a sharp increase in TFP was observed in the electrics and electronics industry and the automobile industry in the late 1990s. While CEPII RCA indexes for the Korean industries such as IT industry and automobile industry significantly increased since 1998, only limited evidence was found that TFP or TFI influenced RCA. Investigating Korea's export performance in the Northeast Asian context, this paper shows that, in the 1990s, the growth of Korea's exports to Japan was led by industries that recorded relatively fast growth in total factor input (TFI). In contrast, that to China was almost equally contributed by industries that experienced relatively fast growth in TFP or TFI. This paper also investigates competition between Korea and China, and Korea and Japan in the world market. The competition between Korea and China was relatively stronger for the Korean industries to whose growth TFI made a more significant contribution. While no decisive evidence is found for the relationship between TFP growth in Korean industries and their competition against Japan in the world market, it is revealed that the competition between Korea and Japan became less intense for the Korean industries to whose growth TFI made a stronger contribution. In this regard, the paper supports the view of 'nut-cracking' that the Korean economy has lost its competitiveness in the sectors where it maintained comparative advantage, but failed to catch up more advanced countries such as Japan by gaining competitiveness in more capital or technology intensive sectors.

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