• Title/Summary/Keyword: Manufacturing Countries

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A Study on the Production Control Model for a Remanufacturing Environment of Environmentally Conscious Manufacturing System (환경친화적 생산시스템의 리매뉴팩쳐링 환경용 생산통제모형 개발에 관한 연구)

  • 김현수;한대희
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.25 no.3
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    • pp.50-57
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    • 2002
  • As one of the developing countries in the world trade market, we have to apply the environmental concept at the development of a product for environmentally conscious manufacturing system(ECMS). Traditionally, production control model has been studied based on a new product manufacturing environment. However, ECMS such as a remanufacturing system should be developed and implemented for highly competitive environment in 21C. The objective of this study was to extend the research of production control model by applying it at the remanufacturing environment of ECMS and to test the applicability of current production control model at the remanufacturing environment by the simulation experimental study.

Solar Cell Classification using Gaussian Mixture Models (가우시안 혼합모델을 이용한 솔라셀 색상분류)

  • Ko, Jin-Seok;Rheem, Jae-Yeol
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.2
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    • pp.1-5
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    • 2011
  • In recent years, worldwide production of solar wafers increased rapidly. Therefore, the solar wafer technology in the developed countries already has become an industry, and related industries such as solar wafer manufacturing equipment have developed rapidly. In this paper we propose the color classification method of the polycrystalline solar wafer that needed in manufacturing equipment. The solar wafer produced in the manufacturing process does not have a uniform color. Therefore, the solar wafer panels made with insensitive color uniformity will fall off the aesthetics. Gaussian mixture models (GMM) are among the most statistically mature methods for clustering and we use the Gaussian mixture models for the classification of the polycrystalline solar wafers. In addition, we compare the performance of the color feature vector from various color space for color classification. Experimental results show that the feature vector from YCbCr color space has the most efficient performance and the correct classification rate is 97.4%.

An Analysis and Industrial Classification of Modeling and Simulation Service Industry (모델링 및 시뮬레이션 서비스 산업 분류 및 현황 분석)

  • Kim, Myungil;Jung, Jaeyun;Han, Yuri;Park, Sung-Uk;Kim, Jaesung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.18 no.3
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    • pp.185-198
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    • 2017
  • Since the year 2000, the growth rate of domestic manufacturing has declined and the sales and employment have decreased. Major developed countries have established a variety of strategies to strengthen their manufacturing competitiveness, and promote manufacturing innovation through the convergence of technology and ICT. The key to manufacturing innovation is to reduce the time and cost for developing new products using modeling and simulation (M&S) technology in the product design stage. M&S industries, which belong to the top sector of the industry value chain, have a huge ripple effect across other industries. On the other hand, the competitiveness of the domestic M&S industry is weak compared to developed countries and even the definition and classification of domestic M&S companies have not been made. In this paper, by analyzing the Korea Standard Industry Classification (KSIC), five fine industry classifications included in M&S service companies were derived. In addition, the 307 M&S service companies were derived in accordance with the selection procedure of 3 steps from the 11,822 related companies. To analyze the capabilities of domestic M&S service companies, the current status of the selected M&S service companies was investigated. Considering the Korean economy's high dependence on the manufacturing industry, strengthening the competitiveness of manufacturing industry is required by enhancing the capacities and building an ecosystem in domestic M&S services for future sustainable economic growth.

An Economic Ripple Effect Analysis of Domestic Supercomputing Modeling and Simulation (슈퍼컴퓨팅 모델링 및 시뮬레이션의 산업연관분석 기반 경제적 파급효과 분석)

  • Kim, Myungil;Park, Sung-Uk;Kim, Jaesung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.11
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    • pp.340-347
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    • 2016
  • Since the 1970s, manufacturing has been one of the key driving forces that has led to Korea's economic growth. However, this growth rate has been reduced significantly since the 2000s, and shows that revenues and employment are steadily decreasing. In addition, while manufacturing investment in Korea has dropped sharply, the United States, Germany, Japan, and other major countries have increased investment in manufacturing. These countries have promoted manufacturing innovation strategies that include the convergence of information and communications technologies (ICT) and manufacturing. For manufacturing innovation, it is important for time and cost savings required for product development to be achieved by changes in the production process, especially product design. Modeling and simulation (M&S) is a process that replaces physical product design, mockup making, and testing, with virtual product creation (modeling) and engineering analysis (simulation). In this paper, we analyze the economic ripple effect of supercomputing M&S using an input-output model technique based on the input-output tables published by the Bank of Korea. When we set the M&S budget (about US$16 million for the last 10 years) of the Korea Institute of Science and Technology Information (KISTI) as input coefficients, the effect on production inducement, value-added inducement, and employment inducement was analyzed to be US$24 million, US$13.4 million, and 267, respectively.

Development of a Nanotechnology Competitiveness Index (나노기술 경쟁력 지수의 개발)

  • Bae, Seoung-Hun;Kim, Jun Hyun;Shin, Kwang Min;Yoon, Jin Seon;Shin, Min Soo;Kang, Sang Kyu
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.25 no.5
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    • pp.345-353
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    • 2016
  • In this study, we have developed an index suitable for determining nanotechnology competitiveness. The analytic hierarchy process is used to compared Korean nanotechnology competitiveness with nine high-ranked countries in terms of OECD GDP along with China, India, and Russia. We fund Korea to be ranked fourth among the twelve countries. Despite Korean high rank, it has some problems with regard to infrastructure and industry development. To become a leading country in nanotechnology, Korea needs to strategically invest into research capabilities for nanotechnology, support industry convergence based on nanotechnology, and increase investment into infrastructure development. The findings of this study will contribute to enhancing nanotechnology-related policies and research.

Development of Vehicle Evaluation System for Pedestrian Protection (보행자 보호를 위한 차량평가시스템 개발)

  • Yong, Boo-Joong;Cho, Hyun-Deog;Lee, Jae-Wan
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.5 no.4
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    • pp.53-58
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    • 2006
  • IHRA Pedestrian Working Group has investigated and analyzed the current status of pedestrian-vehicle accidents in IHRA member countries. According to the results, European countries and Japan are working on new regulations to improve passive pedestrian protection on passenger cars significantly. Although IHRA proposed pedestrian test procedures, which may provide a basis of technical regulations in the future, further research and development are necessary to refine the procedures. In order to prepare and satisfy the pedestrian protection requirements, domestic passenger vehicles also should be tested. Among various safety-related studies based on accident data analysis, dealing with pedestrian head injury would be considered one of the keen interests. In this study, the pedestrian headform impact test system is developed. The developed system will be useful to carry out validation study of the test procedures through actual tests using sample vehicles, and to explore the car feasibility level prior to the use of the test methods in legislation.

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Does FDI Affect Domestic Employment in OECD Countries?

  • WANG, Mengzhen;CHOI, Baekryul
    • The Journal of Asian Finance, Economics and Business
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    • v.8 no.12
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    • pp.283-293
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    • 2021
  • To verify the employment impact of two-directional FDI, the study analyzes panel data composed of 26 OECD countries from 2006 to 2018 by using the system GMM. Furthermore, we decompose domestic employment into types of industries and skill compositions to identify the heterogeneous employment impact. The results show that inward and outward FDI at lag one period promote domestic employment at the overall level. In terms of workers' skill levels, lagged inward FDI significantly persistently promotes high-skilled workers' employment, likewise, the positive employment impact also appears with a time lag in low-skilled labor subgroups. Outward FDI, on the other hand, initially inhibits both high- and low-skilled labor demand, but then changes to a positive effect in the highskilled labor subgroups. Although there is a time difference between inward and outward FDI, it has a significant and positive impact on employment in the manufacturing and service industries. The results indicate that the relationship between manufacturing and service employment is a mutual substitute. To attract international investors, governments should promote a favorable investment climate and maintain stable economic growth. Because low-skilled labor is more susceptible to changes in FDI, policy measures are required to ensure employment stability.

International Comparative Analysis of Technical efficiency in Korean Manufacturing Industry (한국 제조업의 기술적 효율성 국제 비교 분석)

  • Lee, Dong-Joo
    • Korea Trade Review
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    • v.42 no.5
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    • pp.137-159
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    • 2017
  • This study divides manufacturing in 18 countries including Korea, China, Japan and OECD countries into 11 areas and estimates and compares the technological efficiency of each industry. The traditional view of productivity is to increase production capacity through technological innovation or process innovation, but it is also influenced by the technological efficiency of production process. A Stochastic Frontier Production Model (SFM) is a representative method for estimating the technical efficiency of such production. First, as a result of estimating the production function by setting the output variable as total output or value-added, in both cases, the output increased significantly in all manufacturing sectors as inputs of labor, capital, and intermediate increased. On the other hand, R&D investment has a large impact on output in chemical, electronics, and machinery industries. Next, as a result of estimating the technological efficiency through the production function, when the total output is set as the output variable, the overall average of each sector is 0.8 or more, showing mostly high efficiency. However, when value-added was set, Japan had the highest level in most manufacturing sectors, while other countries were lower than the efficiency of the total output. Comparing the three countries of Korea, China and Japan, Japan showed the highest efficiency in most manufacturing sectors, and Korea was about half or one third of Japan and China was lower than Korea. However, in the food and electronics sectors, China is higher than Korea, indicating that China's production efficiency has greatly improved. As such, Korea is not able to narrow its gap with Japan relatively faster than China's rapid growth. Therefore, various policy supports are needed to promote technology development. In addition, in order to improve manufacturing productivity, it is necessary to shift to an economic structure that can raise technological efficiency as well as technology development.

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Analysis on Targeting Countries for Overseas Expansion of Korean Companies: Focusing on The Difference between Shipping, Manufacturing and Logistics Companies (우리나라 기업의 해외진출 대상 국가에 관한 연구: 제조·물류 기업별 차이를 중심으로)

  • Kim, Sang Youl;Park, Ho;Jang, Hyunmi;Kim, Taehun
    • Journal of the Korean Data Analysis Society
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    • v.20 no.6
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    • pp.3087-3099
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    • 2018
  • Due to the constant changes of companies' global networks, the expansion of global e-commerce as well as the market-oriented global supply chain management, global enterprises are strategically selecting and entering into viable countries able to become global footholds. Therefore, this study aims to scrutinize the trend of changes in the global networks of Korean companies by analyzing the current overseas countries over the past decade. From the analysis, it has been found that there is a significant difference in the priorities of targeting countries among shipping, manufacturing and logistics companies. Logistics companies preferred to enter Germany first while they attached to a lower priority to Singapore. Manufacturing companies had a lower priority to advance to India, while they preferred to advance to Mexico; however, shipping companies were analyzed to prefer to enter the US. In addition, all of these companies identified the importance of securing volume and network by entering overseas markets to achieve economies of scale and scope and to maintain global competitiveness. Joint overseas expansion of manufacturers with shipping and logistics companies can be recommended to facilitate the entry and thus, enhance global competitiveness and service capabilities and also secure new growth engines.

Factory Workers' Perception for Applying Smart Factory in Developing Country - Focusing on the survey results of the Indonesian garment manufacturing factory - (개발도상국 공장 근무자의 스마트팩토리 적용에 대한 인식 - 인도네시아 의류생산 공장 설문조사 결과를 중심으로 -)

  • Jung, Woo-Kyun;Lee, Jae-Won;Park, Yong-Chul;Ahn, Sung-Hoon
    • Journal of Appropriate Technology
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    • v.6 no.1
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    • pp.56-64
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    • 2020
  • Recently, major manufacturers are focusing their efforts on securing global competitiveness through smart factory, but developing countries have many difficulties in applying smart factory due to financial and technical conditions. This study is a preliminary study on the development of an ICT-based power monitoring system applicable to developing countries. The questionnaire surveyed and analyzed workers' perceptions of smart factory in a garment manufacturing factory in developing countries, Indonesia. Before and after the installation of the power monitoring system, the survey was conducted for 126 local managers and workers, and the correlation was analyzed using SPSS. As a result of analysis, factory workers in developing countries such as Indonesia are also positively aware of the necessity of introducing smart factory technology, and it is expected that the introduction of these technologies will affect job satisfaction and improve the factory environment. In addition, the result of the survey conducted after the installation of the power monitoring system increased the job satisfaction score by 5.5% compared to before the installation, and the scores on the perception of the necessity of the power monitoring system and the positive effect of the application of the system on the factory environment were increased 13% and 5.9%, respectively. It was also confirmed that managers rather than workers and female rather than male showed positive perception for the introduction of smart factory technology. The result of this study is expected to be an important reference in the direction of development of appropriate smart factory technology applicable to developing countries and the introduction of smart factory by manufacturers operating factories in developing countries.