• Industrial Engineering and Management Systems
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• 제13권3호
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• pp.252-257
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• 2014

Global economic recession, global market reduction, and the deteriorating economic recession are forcing the industry to reconsider the business plan and strategy related to supply chain regardless of the size of the companies. During the economic recession caused by financial anxiety, development of international collaborative producer is the key theme for a manufacturing industry to get over the situation. Especially, development of high-skilled people who are capable of handling global manufacturing management is the key factor in China which shifted from a world factory to a world market. In this background, we started the international project of global manufacturing education and training for Chinese company managers from 2009. In this paper, based on the research conducted by the universities and companies in China, a design of global manufacturing education and training is proposed. This presented design is based on the theory of Japanese production strategy and investigation of actual conditions for Chinese companies and the research methodology of business management practice with efficiency and productive for international level management organization. The effectiveness of the education design is evaluated by applying the international education and training project of Aoyama Gakuin Human Innovation Consulting Inc. and Vigor Management Technology Association.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.393-405
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• 2023

Accurate prediction of wind speed and power is vital for enhancing the efficiency of wind energy systems. Numerous solutions have been implemented to date, demonstrating their potential to improve forecasting. Among these, deep learning is perceived as a revolutionary approach in the field. However, despite their effectiveness, the noise present in the collected data remains a significant challenge. This noise has the potential to diminish the performance of these algorithms, leading to inaccurate predictions. In response to this, this study explores a novel feature engineering approach. This approach involves altering the data input shape in both Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) and Autoregressive models for various forecasting horizons. The results reveal substantial enhancements in model resilience against noise resulting from step increases in data. The approach could achieve an impressive 83% accuracy in predicting unseen data up to the 24th steps. Furthermore, this method consistently provides high accuracy for short, mid, and long-term forecasts, outperforming the performance of individual models. These findings pave the way for further research on noise reduction strategies at different forecasting horizons through shape-wise feature engineering.

• 한국항만경제학회지
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• 제34권1호
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• pp.51-64
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• 2018

본 고는 Malmquist 생산성 지수를 이용하여 글로벌 금융위기 이전인 2001-2008년, 그 이후인 2008-2015년 두 기간 동안 조선 산업의 생산성변화를 기술효율성변화, 순효율성변화, 규모효율성변화, 기술변화로 구분하여 측정함과 동시에 두 기간 동안 생산성 변화를 비교하였다. 전반기(2001-2008년)에는 2.8%의 생산성 향상되었으며, 이는 기술효율성 보다는 기술진보에 기인된 것으로 나타났다. 후반기(2008-2015)에는 -3.4%의 생산성 하락으로 나타났다. 이는 글로벌 금융위기이후 세계경제의 침체로 인한 선박수주 물량의 감소, 중국 조선 산업의 부상 등으로 인해 기술효율성 저하, 기술퇴보 등에 기인된 것으로 나타났다. 두 기간 중 전반기 가 후반기보다 생산성이 높게 나타났다. 특히 두 기간 간에 이러한 차이는 기술변화에 의해 기인된 것으로, 즉, 기술 퇴보는 생산성 감소로 나타났으며, 통계적 검증을 통해서도 이를 입증할 수 있었다. 본 연구 결과에 의한 정책적 시사점으로는 정부 그리고 각 DMU들은 향후 생산성 증대를 위해, 글로벌 조선 산업의 환경변화에 대응하는 신기술개발 그리고 비효율적 요인을 제거하는 전략이 필요하다는 점을 제시하고 있다.

• 자원ㆍ환경경제연구
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• 제26권2호
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• pp.205-227
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• 2017

중국은 경제규모가 세계 2위를 차지하면서 가장 많은 탄소배출량을 기록하고 있어 탄소배출량을 감축하는 것은 불가피한 당면과제이다. 탄소배출량 감축의 위한 정책 방안 중 하나는 탄소배출 효율성을 증진시키는 것이다. 이를 위하여 본 연구에서는 중국의 30개 지역을 대상으로 지역별 탄소배출단위당 GDP의 비율을 추정한 후 30개성의 탄소배출 효율성을 추정하고 이에 영향을 미치는 요인을 분석하였다. 효율성 분석 결과를 보면 중국의 지역별 탄소배출 효율성 차이가 크게 나타났고 이 중에서 하이난성, 베이징시, 텐진시 등의 탄소배출 효율성은 상대적으로 높게 추정되었다. 또 탄소배출 효율성에 미치는 영향 요인을 분석한 결과를 보면 제3차 산업의 비중이 클수록 탄소배출 효율성이 개선되고, 중공업의 비중이 클수록, 석탄소비 비중이 클수록 그리고 수출입 비중이 클수록 탄소배출 효율성을 악화되는 것으로 추정되었다.

• 한국건축시공학회지
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• 제15권2호
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• pp.217-226
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• 2015

본 연구는 비모수적 효율성 분석기법인 자료포락분석을 이용하여 ENR의 'Top 250 Global Contractors 2014'에 포함된 한국 7개 건설기업과 일본 8개 건설기업을 대상으로 14년간(2000년-2013년)의 효율성을 비교분석하여 한국 건설기업의 경쟁력을 평가하였다. 효율성 분석결과, 한국 건설기업은 IT버블붕괴와 글로벌 금융위기의 여파로 효율성이 일시적으로 낮아지기는 하였으나, 2006년 이후부터 2012년까지 일본 건설기업과의 효율성의 차이가 더 심해진 것으로 나타났다. 건설기업별 효율성 분석결과, 2000년에 비해 2013년 한국 건설기업의 효율성은 높아졌으나, 일본 건설기업의 경우, 낮아진 것으로 분석되었다. 이러한 결과는 한국 건설기업은 종업원수와 매출액은 작지만 일본 건설기업보다 효율적으로 운영되고 있다는 것을 의미한다.

• 한국의류학회지
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• 제23권1호
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• pp.42-53
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• 1999

Global sourcing strategy is the one that apparel firms adopt in order to improve efficiency. Souring statesgies are not limited to the decision of sourcing country or vertical integration of sewing process Sourcing strategies include all the ecision of marketing process from the acquisition of fabric to distribution of products. The present study aims to analyze the soucing strategies of Korea apparel industry in global perspectives by applying transaction cost approach and aims to provide the implications for the future. The results are as follows ; (1) sourcing strategies in the dimension of domestic versus offshore soucing are determined by the experience in foreign business and the degree of fashionability of the product. (2) Firms tend to increase affshore soucing as they accumulate the experience in foreign business because they can decrease transaction costs as the perceived risks decrease (3) Also firms tend to source their products in foreign countries when the products are more fashionable. Brand loyalty of the product is a additional factor that increases the proportion of domestic sourcing. (4) Degree of vertical integration of sourcing is determined by the fashionability brand loyalty and the experience in foreign business. That is firms decrease the transaction costs by avoiding the investment to short life fashion products. However firms increase the control over the high reputation product by in house production. As the apparel firms tend to more marketing oriented and the national boundaries of business envrionment becomes permeable more efficient global sourcing strategies should be stablished, Besides the production costs nonproduction costs should be equallly considered in order to analyze the total costs.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.87-94
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• 2020

This study aims to evaluate the effectiveness of sterilization in Vietnam. We estimate a simultaneous equation by using Two-Stage least squares (2SLS) regression analysis. The time-series data was collected for the first quarter of 2004 to the fourth quarter of 2018. In particular, the effectiveness of sterilization is considered in terms of dollarized economy, since making the transition from a centrally planned to a market economy system, the Vietnamese economy has remained in a state of dollarization. In addition, we also assess whether the global financial crisis had an impact on the sterilization effectiveness of the State Bank of Vietnam (SBV). On the basis of the estimated sterilization and offset coefficients, our results suggest that the State Bank of Vietnam (SBV) has not been able to fully neutralize the impact on the domestic money supply when intervening in the foreign exchange market, and the capital inflows respond strongly to changes in domestic monetary conditions. The results also show that the global financial crisis has changed the effectiveness of these sterilization policies. An analysis of this study's empirical findings provides the opportunity to derive some recommendations that may assist in increasing the effectiveness of the State Bank of Vietnam's sterilization policies in the process of accumulating international reserves.

• 대한조선학회논문집
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• 제52권2호
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• pp.110-118
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• 2015

Weather routing method is one of the best practices of SEEMP (Ship Energy Efficiency Management Plan) for fuel-efficient operation of ship. KR is carrying out a basic research for development of the weather routing algorithm and making a monitoring system by FOC (Fuel Oil Consumption) analysis compared to the reference, which is the great circle route. The added resistances applied global sea/weather data can be calculated using ship data, and the results can be corrected to ship motions. The global sea/weather data such as significant wave height, ocean current and wind data can be used to calculate the added resistances. The reference route in a usual navigation is the great circle route, which is the shortest distance route. The global sea/weather data can be divided into grids, and the nearest grid data from a ship's position can be used to apply a ocean going vessel's sea conditions. Powell method is used as an optimized routing technique to minimize FOC considered sea/weather conditions, and FOC result can be compared with the great circle route result.

• 한국태양에너지학회 논문집
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• 제39권2호
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• pp.1-9
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• 2019

In order to increase the power generation efficiency of the photovoltaic system, a new algorithm that can follow the maximum power point of the photovoltaic power generation system having nonlinear output characteristics is proposed. Conventional maximum power point tracking (MPPT) algorithms such as Perturbation and Observation (P&O) and InCond (Increment and Conductance) schemes can not find the global maximum power point at a plurality of pole points in the unmatched state of unbalanced PV modules. However, even if the global maximum power point is found at a plurality of pole points, the global maximum power that can not be the real maximum power by the photovoltaic generation system. In order to solve this problem, a few PV companies propose installing several small PV inverters instead of if big one. However, since this will require additional costs, we herein propose a Multi-MPPT system using individual 3-point MPPT to track true MPPT at a plurality of pole points in the unmatched state of unbalanced PV modules.

• 무역학회지
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• 제46권2호
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• pp.141-160
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• 2021

The scale of global FDI has been decreasing since 2016 due to the ongoing US-China trade dispute, the strengthening of FDI inflow screening regulations with concern over strategic technology leaks, and the spread of reshoring trends due to the reinforcement of national preferences. Eventually, the competition to attract FDI between countries is expected to become more intense. Therefore, in order to attract high-quality FDI for Korea that will contribute to the development of the national economy, it is pressing to evaluate and improve the domestic FDI attraction environment. This study aims to analyze which areas of Korea's economic and non-economic environments need improvement for gaining advantage amid the fierce competition to attract FDI between countries, by the relative comparison between Korea and the U.S., and based on the ranking indicated in key FDI attractiveness indices. As a result, improvement is needed in the following areas. First, according to IMD's "World Competitiveness Ranking 2020," Korea was inferior to the US in terms of business efficiency, productivity, finance and business legislation in terms of government efficiency. Second, according to INSEAD's "Global Talent Competitiveness Index 2020," Korea was inferior to the US in terms of internal openness, external openness, employability, lifelong learning, access to growth opportunity, and business and labor landscapes. Third, according to WEF's "Global Competitiveness Index 2019", Korea was inferior to the US in terms of product market, labor market, business dynamism and workforce skills.