• 산업경영시스템학회지
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• 제40권2호
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• pp.51-59
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• 2017

Due to the rapid change of global business environment, the growth of China's steel industry and the inflow of cheap products, domestic steel industry is faced on downward trend. The change of business paradigms from a quantitative growth to a qualitative product is needed in this steel industry. In this environment, it is very important for domestic steel distribution companies to secure their competitiveness by selecting good supply companies through a efficient procurement strategy and effective method. This study tried to find out the success factors of steel distribution industry based on survey research from experts. Weighted values of each factors were found by using AHP (analytic hierarchy process) analysis. The weighted values were applied to DEA(data envelopment analysis) model and eventually the best steel supply company were selected. This paper used 29 domestic steel distribution firms for case example and 5 steps of decision process to select good vendors were suggested. This study used quality, price, delivery and finance as a selection criteria. Using this four criterions, nine variable were suggested. Which were product diversity, base price, discount, payment position, average delivery date, urgency order responsibility and financial condition. These variables were used as a output variable of DEA. Sales and facilities were used as an input variable. Pairwise comparison was conducted using these variables. The weighted value calculated by AHP pairwise comparison were used for DEA analysis. Through the analysis of DEA efficiency process, good DMU (decision making unit) were recommended as a steel supply company. The domestic case example was used to show the effectiveness of this study.

• 유통과학연구
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• 제12권6호
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• pp.21-29
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• 2014

Purpose - This research undertakes to understand the competitiveness of the steel distribution industry of both Korea and China to strengthen Korea-Sino economic cooperation, examines impediments to trade between the two countries to analyze causes which affect trade, and examines improvements in these areas to identify means of trade expansion. Through this survey of a defined period, we can identify the structural factors of trade dependence in the relationship between Korea and China. Research design, data, and methodology - The data were collected from the Korea Traders Association, the Korea Customs Office, and UN Comtrade, from which whole table indexes are calculated. The research methodology uses trade-related indexes to focus on analyzing comparative advantages based on time-series analysis statistics data (2000-2012) by using the analysis index of trade intensity index (TII), the revealed comparative advantage index (RCA), and the trade specialization index (TSI). Results - The export ratio for Korea to China was slightly higher in 2000 at 2.867, and the export ratio for Korea to China was sustained in 2005. However, it diminished gradually, reaching 1.263 in 2012. During the period 2000-2012, the indexes were maintained without any significant change. However, they still remain close to -1. In particular, in 2012 it is the closest it has ever been to -1. Therefore, China has a comparative advantage in export specialization. On the other hand, Korea has a comparative advantage in import specialization. For the research period, all indexes were much lower than 1, which means that Korea has consistently had a comparative disadvantage against China for the past 10 years when compared to other industries, even though it experienced improvement in 2000. Conclusions - The summary of conclusions based on empirical analysis research are as follows: First, per the trade intensity index of industries between the two countries, we conclude that the export ratio index in 2000 is 2.867, which means the export ratio of Korea to China is slightly higher. Furthermore, the ratios of 2.259 and 1.263 held in 2005 and 2012, respectively, meaning that the export ratio of Korea to China was maintained in 2005, but was diminishing gradually as the index in 2012 was 1.263. Second, per the trade specialization index of the steel distribution industry between Korea and China, the value was -0.379 in 2000, -0.368 in 2005 and -0.568 in 2012. Looking at the whole period of 2000-2012, the indexes remained without any significant change. However, they are still moving closer to -1. In particular, in 2012 it is the closest it has ever been to -1. Third, regarding the revealed comparative advantage index of the steel distribution industry between Korea and China, the RCA indexes in 2005 and 2012 are 0.246 and 0.306, respectively, which are still far from 1, even though the index has improved compared to the 2000's value of 0.0001. Therefore, the Korean steel distribution industry is at a significant comparative disadvantage to that of the Chinese steel distribution industry.

• 유통과학연구
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• 제12권3호
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• pp.25-32
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• 2014

Purpose - This study reviews changes in the steel export-import structure between Korea and Japan using a trade related index; it focuses on analyzing comparative advantage based on time-series analysis statistics data using the trade intensity index (TII), revealed comparative advantage index (RCA), and trade specialization index (TSI). Research design, data, and methodology - In terms of their economic phase, Korea and Japan have a mutually complementary character. Therefore, this study aims to understand each country's trade structure to strengthen Korea-Japan economic cooperation, examine trade drawbacks, analyze factors that affect trade, and identify ways to improve and expand trade. Results - The results indicate immense potential for mutual cooperation and complementariness, which will yield guaranteed adequate profits comparable to those of any regional economic integrated community. Conclusion - From our viewpoint, Northeast economic cooperation can facilitate industry technological cooperation with Japanese partners in the prevailing environment that is characterized by increasing competition among industries and the need to secure stable resource supplies as well as the expansion of the export market and diversification, which can have significant positive implications.

• 유통과학연구
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• 제14권3호
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• pp.31-38
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• 2016

Purpose - This paper reviews the change of steel export-import structure between Japan and China by the courtesy of international business reference index and stress to analyze comparative advantage under the circumstance of time-series evaluating database by 3 indexes. Research design, data, methodology - Per economic phase, both China-Japan have mutually a complementary base. Under this kind of view point, the reason why to conduct this study is to realize how this 2 country's trade competitiveness should be improved and strengthened. Results - Under this research data and analysis outcomes, bilateral intra-economy's potential supplementation is enormous. Additionally, expected benefits from here are so sufficiently assured as we compare them with any other regional economic integrated society. Conclusions - When we review our economic point of view, Northeast economic cooperations between China and Japan can provide a chance for industrial technological cooperations not only in steel business but also in other business areas. Come to think of the circumstance to accelerate competitions between 2 country's industries past time and acknowledge concrete resource supplier including expanding export market and diversification.

• The Journal of Asian Finance, Economics and Business
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• 제9권3호
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• pp.11-22
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• 2022

The iron and steel sector is caught between two worlds: "carbon reduction" and "development." The goal of this study is to show that optimizing asset structure to boost intangible assets, particularly brand assets, is a viable strategy to achieve low-carbon development. This study uses panel data from 38 A-share companies in China's iron and steel industry from 2010 to 2020, as well as World Brand Lab data, to create a comprehensive impact index of enterprise value from the standpoint of an asset structure optimization, and to test the impact of intangible assets and brand equity on enterprise value. The findings show that: the asset structure of iron and steel enterprises is closely related to enterprise value, implying that iron and steel industry development necessitates a transformation of quantity control and quality improvement; the proportion of intangible assets in the asset structure of iron and steel enterprises plays a positive and critical role in enterprise value under surplus conditions. The iron and steel industry begins to shift from tangible to intangible assets; there is heterogeneity in the iron and steel industry transformation. Given certain technological levels, the share of brand assets contributes significantly to the increase in enterprise value.

• 유통과학연구
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• 제18권11호
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• pp.5-13
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• 2020

Purpose: This research investigates the cost behavior of the distribution industry. Specifically, we investigate if the ratio of the increase in costs with an increase in sales is consistent with the ratio of the decrease in costs when sales decrease. Traditionally, cost is assumed to be symmetrical. In the case of the distribution industry, it was expected that the downward rigidity of the cost would be shown because it would be very difficult to decide to adjust resources when sales temporarily decrease. Therefore, studies have looked at Korean capital markets based on manufacturing and steel industries. However, no research has been done on the distribution industry. Research design, data, and methodology: To verify the hypothesis of this study, the asymmetry of cost was measured by Anderson et al. (2003). The sample used 28,695 firm-year data from 2002 to 2019 for the KOSPI and KOSDAQ stock markets. Results: The empirical analysis results are as follows. First, asymmetry of cost was observed in the case of the distribution industry. We confirm cost rigidity when sales decreased. Conclusions. This is the first study to look at cost behavior in the distribution industry, and the downward rigidity of cost in the distribution industry is observed.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1994년도 추계학술대회 논문집
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• pp.163-168
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• 1994

Zinc coated steel sheets have been widely used in automotive industry. High power laser welding has been used as an excellent welding means for thin sheets. The welding residual stress, which was brought in laser welding, causes making weak the mechanical strength. The purpose of this study is to get the residual stress distribution in various laser welding condition by FEM and verify the results by X-Ray diffraction. Welding residual stresses have been calculated by thermal elasto-plastic analysis using finite element method. Form the results, it can be known that the laser welding condition affects to distribution of the residual stress.

• 자원ㆍ환경경제연구
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• 제31권1호
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• pp.113-139
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• 2022

철강산업은 온실가스 배출량이 가장 많은 제조업이면서 핵심소재산업으로서 국민경제에 미치는 파급효과가 크다. 본 연구는 한국, 일본, 독일을 중심으로 1990~2019년 기간에 걸쳐 철강산업의 온실가스 배출 탈동조화 양상을 국제비교하였다. 특히, 연료연소 배출량만을 고려한 선행연구들과는 달리 본 연구에서는 연료연소 배출량, 산업공정 배출량, 전력 및 열 사용에 따른 간접 배출량을 모두 고려하였다. 분석결과, 한국은 확장적 동조화, 일본은 탈동조화, 독일은 불분명으로 해석된다. 따라서 한국 철강업이 나아가야 할 탈동조화 경로는 독일이 아니라, 일본과 유사하거나 일본보다 더 효과적인 탈동조화 방안을 모색하는 형태로 진행되어야 할 것이다. 또한, 본 연구는 철강업의 특성을 최대한 고려하고 일본 및 독일과의 비교를 통해 탈동조화 분석결과의 원인과 한국 철강업에의 시사점도 제시하였다. 특히, 일본의 탈동조화 촉진 요인으로 일본 철강재의 고부가가치화, 일본 철강산업의 에너지효율기술 개발, 일본 철강산업의 전략적 M&A, 일본 철강재의 폐쇄적 유통구조에 따른 경쟁력 유지, 4가지를 제시하였다. 한국 철강업도 일본의 사례를 벤치마크로 삼아 철강재의 품질 고도화 및 품목 다변화를 통해 부가가치를 더 높이는 동시에, 신기술 개발을 통해 온실가스를 근본적으로 줄이기 위해 노력해야 할 것이다.

• Journal of Korea Artificial Intelligence Association
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• 제1권2호
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• pp.21-25
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• 2023

The purpose of this study was to compare the performance using multiple regression models to predict the energy consumption of steel industry. Specific independent variables were selected in consideration of correlation among various attributes such as CO2 concentration, NSM, Week Status, Day of week, and Load Type, and preprocessing was performed to solve the multicollinearity problem. In data preprocessing, we evaluated linear and nonlinear relationships between each attribute through correlation analysis. In particular, we decided to select variables with high correlation and include appropriate variables in the final model to prevent multicollinearity problems. Among the many regression models learned, Boosted Decision Tree Regression showed the best predictive performance. Ensemble learning in this model was able to effectively learn complex patterns while preventing overfitting by combining multiple decision trees. Consequently, these predictive models are expected to provide important information for improving energy efficiency and management decision-making at steel industry. In the future, we plan to improve the performance of the model by collecting more data and extending variables, and the application of the model considering interactions with external factors will also be considered.

• 경영과정보연구
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• 제30권4호
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• pp.229-251
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• 2011

최근 세계 경제는 미국과 유럽의 재정위기로 기업의 유동성이 부족하게 되었고 기업경영 환경에 큰 어려움이 있다. 이런 시기에 공급업체와 조화롭고 협력적인 관계를 바탕으로 고객의 다양한 요구를 충족하는 것은 매우 중요해졌다. 현시대는 기업 혼자의 힘만으로는 새로운 경쟁적 요구상황을 충족시킬 수 없으므로 기업 간 상호관계를 증대시킬 필요성이 요구된다. 기업 간 경쟁에서 공급사슬 간 경쟁으로 변화하고 있다. 그러므로 공급사슬관리(SCM)를 통한 협력이 중요하게 되었다. 본 연구는 "공급사슬에서 기업 간 협력이 높을수록 절대적 물류성과와 상대적 물류성과가 개선될 수 있다"라는 연구명제를 제시하여 공급사슬기업간 의사소통, 정보기술의 사용, 파트너십, 성과모니터링을 통해 절대적 물류성과와 상대적 물류성과의 영향에 대해 알아보고자 한다.