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    DEA-AR 모형을 이용한 일관제철소 철광석 브랜드별 효율성 평가 = The Efficiency Assessment of the Iron Ore Brands Using DEA-AR Model in an Integrated Steel Mill

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    https://www.riss.kr/link?id=A99915858

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    다국어 초록 (Multilingual Abstract) kakao i 다국어 번역

    This paper propases a DEA AR model for the efficiency evaluation of the iron ore brands in an integrated steel mill. The input factor is defined as unit cost of each brand based on CIF and two output factors are chosen as Fe and Al which are the important ingredients of iron ore. The relative importance between two output factors is determined by several experts using AHP model. The efficiency of each brand is determined using DEA and DEA AR models. The negative correlation between the DEA AR efficiency and the unit cost (CIF) is shown as significant whereas no significant correlation exist between the efficiency and the output factors. Also, the Kruskal Wallis rank sum test shows that there exist efficiency differences among the iron ore types whereas no difference is shown among the countries. The result could be utilized in selecting good brands of iron ores based on the DEA AR efficiency in an integrated steel mill.
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    This paper propases a DEA AR model for the efficiency evaluation of the iron ore brands in an integrated steel mill. The input factor is defined as unit cost of each brand based on CIF and two output factors are chosen as Fe and Al which are the impor...

    This paper propases a DEA AR model for the efficiency evaluation of the iron ore brands in an integrated steel mill. The input factor is defined as unit cost of each brand based on CIF and two output factors are chosen as Fe and Al which are the important ingredients of iron ore. The relative importance between two output factors is determined by several experts using AHP model. The efficiency of each brand is determined using DEA and DEA AR models. The negative correlation between the DEA AR efficiency and the unit cost (CIF) is shown as significant whereas no significant correlation exist between the efficiency and the output factors. Also, the Kruskal Wallis rank sum test shows that there exist efficiency differences among the iron ore types whereas no difference is shown among the countries. The result could be utilized in selecting good brands of iron ores based on the DEA AR efficiency in an integrated steel mill.

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    목차 (Table of Contents)

    • Abstract
    • 1. 서론
    • 2. DEA 모형
    • 3. 철광석 브랜드 별 효율성 분석
    • 4. 결론 및 추후 연구방향
    • Abstract
    • 1. 서론
    • 2. DEA 모형
    • 3. 철광석 브랜드 별 효율성 분석
    • 4. 결론 및 추후 연구방향
    • 참고문헌
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    참고문헌 (Reference)

    1 Allen, R., "Weights restrictions and value judgements in Data Envelopment Analysis:Evolution, development and future directions" 73 : 13-34, 1997

    2 Jahanshahloo, G. R., "Undesirable inputs and outputs in DEA models" 169 : 917-925, 2005

    3 Vencheh, A. H., "Undesirable factors in efficiency measurement" 163 : 547-552, 2005

    4 Ahmad, N., "The integration of analytical hierarchy process and data envelopment analysis in a multi-criteria decision-making problem" 5 (5): 263-276, 2006

    5 Wu, D., "Supplier selection:A hybrid model using DEA, decision tree and neural network" 36 : 9105-9112, 2009

    6 Saen, R. F., "Supplier selection by the new AR-IDEA model" 39 : 1061-1070, 2008

    7 Banker, R. D., "Some models for estimating technical and scale efficiencies in data envelopment analysis" 30 : 1078-1092, 1984

    8 Hoa, C. B., "Selecting Internet company stocks using a combined DEA and AHP approach" 41 (41): 325-336, 2010

    9 Saen, R. F., "Restricting weights in supplier selection decisions in the presence of dual-role factors" 34 : 2820-2830, 2010

    10 Zhu, J., "Quantitative models for performance evaluation and benchmarking:data envelopment analysis with spreadsheets and DEA Excel Solver" Kluwer Academic 2003

    1 Allen, R., "Weights restrictions and value judgements in Data Envelopment Analysis:Evolution, development and future directions" 73 : 13-34, 1997

    2 Jahanshahloo, G. R., "Undesirable inputs and outputs in DEA models" 169 : 917-925, 2005

    3 Vencheh, A. H., "Undesirable factors in efficiency measurement" 163 : 547-552, 2005

    4 Ahmad, N., "The integration of analytical hierarchy process and data envelopment analysis in a multi-criteria decision-making problem" 5 (5): 263-276, 2006

    5 Wu, D., "Supplier selection:A hybrid model using DEA, decision tree and neural network" 36 : 9105-9112, 2009

    6 Saen, R. F., "Supplier selection by the new AR-IDEA model" 39 : 1061-1070, 2008

    7 Banker, R. D., "Some models for estimating technical and scale efficiencies in data envelopment analysis" 30 : 1078-1092, 1984

    8 Hoa, C. B., "Selecting Internet company stocks using a combined DEA and AHP approach" 41 (41): 325-336, 2010

    9 Saen, R. F., "Restricting weights in supplier selection decisions in the presence of dual-role factors" 34 : 2820-2830, 2010

    10 Zhu, J., "Quantitative models for performance evaluation and benchmarking:data envelopment analysis with spreadsheets and DEA Excel Solver" Kluwer Academic 2003

    11 Amirteimoori, A., "Modeling undesirable factors in data envelopment analysis" 180 : 444-452, 2006

    12 Jablonsky, J., "Measuring the efficiency of production units by AHP models" 46 : 1091-1098, 2007

    13 Charnes, A., "Measuring the efficiency of decision making units" 2 : 429-444, 1978

    14 Kuo, R. J., "Integration of artificial neural network and MADA methods for green supplier selection" 18 : 1161-1170, 2010

    15 Jahanshahloo, G. R., "Inputs/outputs estimation in DEA when some factors are undesirable" 156 : 19-32, 2004

    16 Thanassoulis, E., "Exploring output quality targets in the provision of pertinental care in England using data envelopment analysis" 80 : 588-607, 1995

    17 Giokas, D. I, "Efficiency ranking of the OECD member states in the area of telecommunications:A composite AHP/DEA study" 32 : 672-685, 2008

    18 Cooper, W. W., "Data Envelopment Analysis:a comprehensive text with models, applications, references, and DEA-solver software" Kluwer Academic Publishers 2002

    19 김준범, "DEA와 AHP 모형을 이용한 제조공정들 간 효율성 평가" 대한산업공학회 21 (21): 302-311, 2008

    20 임환, "DEA를 활용한 성과평가 지표의 가중치 결정모형 구축: 평생학습도시 성과평가 지표 적용 사례를 중심으로" 한국IT서비스학회 9 (9): 109-121, 2010

    21 Thompson, R. G., "DEA/AR efficiency and profitability of 14 major oil companies in US exploration and production" 23 (23): 357-373, 1996

    22 성덕현, "DEA 모형에 의한 제철용 석탄의 효율성 평가" 한국IT서비스학회 10 (10): 177-188, 2011

    23 Yang, Z., "Assessing Canadian bank branch operating efficiency using data envelopment analysis" 3 : 31-43, 2009

    24 Chen, T. Y., "A measurement of bank efficiency, ownership and productivity changes in Taiwan" 20 (20): 95-109, 2000

    25 Banker, R. D., "A comparative application of data envelopment analysis and translog methods: An illustrative study of hospital production" 32 (32): 30-43, 1986

    26 Zeydan, M., "A combined methodology for supplier selection and performance evaluation" 38 : 2741-2751, 2011

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    기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
    2016 0.49 0.49 0.5
    KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
    0.48 0.47 0.627 0.17
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