• 한국항해항만학회지
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• 제37권2호
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• pp.195-201
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• 2013

Recently according to increase of enlarged scale ports in conformity with increase in over size vessels and container handling service, pollutants generated from ports are increasing. In advanced countries, reduction in carbon dioxide emission assigned to them has been implemented according to the Climate Change Convention and Kyoto Protocol from 2008 to 2012 in order to lessen carbon dioxide emission. Henceforth increase in discussion on the measure of constructing Green Port and low-carbon port is expected in our nation's field of port as well, it is considered that the effort in reduction with regard to undesirable output which causes environmental problem of analysis target during measuring effectiveness. Therefore, in this study, effectiveness was estimated through directional technology distance function considering undesirable output differently from effectiveness analysis of existing container terminal, and then performed comparative analysis with the result analyzed with BCC output-oriented model. As the result of analysis, in 2007 DMU3 and DMU5, and in 2010 DMU2 and DMU4 appeared to be efficient terminals in BCC output oriented model, and in directional technology distance function model, DMU1, DMU3 in 2007, DMU3, DMU5 in 2008, DMU7 in 2009, and DMU2, DMU5 in 2010 appeared to be efficient terminals.

• 한국항만경제학회지
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• 제36권1호
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• pp.183-196
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• 2020

현재까지 목포항의 효율성을 분석하고 우리 나라의 다른 주요 무역항만과 비교하여 항만의 개발 방향을 개선한 연구는 많지 않다. 본 논문에서는 Malmquist Productivity Index (MPI)와 함께 DEA (Data Envelopment Analysis) 모형을 사용하여 목포항을 중심으로 우리나라 주요 무역항만의 효율성과 생산성을 측정한다. 첫째, 항만의 기술적 또는 운영 규모에 따라 어떤 항만이 효율적이거나 비효율적인지, 그리고 몇 년 동안 어떤 항만이 생산성을 유치할 수 있는지 파악하고자 한다. 둘째, 이 연구는 어떤 항만의 그룹이 효율성 점수가 높거나 낮은지 분류하는 데 Fuzzy C-means (FCM) 클러스터링 방법을 적용한 후 목포항의 개선 방안을 제시하고 자 한다.

• 한국병원경영학회지
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• 제13권3호
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• pp.69-93
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• 2008

Rising healthcare cost is a global phenomenon that justifies governments' introduction of 'incentive regulation' plan for the improvement of hospital efficiency. A number of previous studies tried to evaluate the efficiency of healthcare organization by using Data Envelopment Analysis(DEA), a common efficiency benchmarking method. However, there is a concern that this kind of efficiency evaluation could induce "quantity-quality trade-off". Moreover, as quality aspect is especially important in terms of 'effectiveness' of health care, it should be considered in efficiency evaluation of healthcare organization. A number of different models were tried so far to incorporate quality aspect into DEA, however, none is universally recognized as a standard. Thus, in this study, previous quality-incorporating DEA models were categorized into 6 types according to the way of incorporating quality aspect, and strengths and limitations of each type were reviewed with a set of artificial data as an example. Based on this review, a new quality-incorporating efficiency evaluation model, named Quality-adjusted output DEA(QAO-DEA), was suggested. As an exploratory empirical analysis, technical efficiency of human resource were measured with different quality-incorporating DEA models, using 2004 data from National University Hospitals. In conclusion, Quality-adjusted output DEA(QAO-DEA) model seems to be one of the most desirable alternatives to incorporate quality aspect in efficiency evaluation of hospital, and deserves the consideration as a policy tool to induce simultaneous improvement of both efficiency and quality.

• 한국군사과학기술학회지
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• 제11권6호
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• pp.117-126
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• 2008

Recently, the investment and importance have been increasing concerning the researches which are based on fundamental studies. In defense science and technology development, the defense research centers are involved in a large portion of developing the potential capability such as defense applied technology, enhanced human resource, etc. In this paper, we analyzed the relative efficiency of 9 research centers(9 DMU : Decision Making Unit) supported by the defense budget, using DEA(Date Envelopment Analysis) method especially with the CCR-I(Charnes, Cooper, Rhodes-Input) model. Some variables are selected such as budget(input data), patent, article and human resource(output data) to be analyzed. Conclusively, the needs to identify performance-indicators, increase incentives to promote the performance and induce enthusiastic participation in defense science and development projects, are suggested via a relative efficiency analysis.

• 한국병원경영학회지
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• 제12권1호
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• pp.51-74
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• 2007

This study applied Data Envelopment Analysis to a set of Korean Public Corporation Medical Centers and Japanese Municipal Hospitals to compare their relative human resource efficiencies. Based on the data provided on the inputs and outputs, the analysis showed Japanese municipal hospitals were relatively efficient than Korean hospitals. The result of analysing BCC model shows 5 hospitals in Japan and 7 in Korea with an efficiency rating of less than 1 as considered relatively inefficient. For the inefficient hospitals the manner in which inefficient hospitals may be made efficient were indicated by the managerial strategies based on dual variables. A subsequent analysis of Wilcoxon rank-sum test revealed that the medical revenue per medical expense, labor cost per value added revenue were statistically significant between efficient and inefficient Korean hospitals and medical revenue per medical expense, labor cost per value added revenue, bed occupancy rate, average length of stay, rate of personnel expenses per medical revenue were statistically significant between efficient and inefficient Japanese hospitals.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2004년도 춘계학술대회 논문집
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• pp.351-356
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• 2004

부산항은 동북아시아의 급속한 성장과 더불어 지속적인 성장을 해오고 있으며, 향후 이러한 지속적인 성장을 유지하기 위해 정부의 집중 투자 및 정책 지원이 이루어지고 있다. 본 연구는 부산항을 포함한 세계 주요 컨테이너 항만들의 효율성을 DEA(Data Envelopment Analysis)모형을 통해 상대적으로 분석함으로써, 부산항의 현재 위치와 더 효율적인 항만이 되기 위해 Benchmarking 해야할 대상을 구체화 한 것이다. 또한, 본 연구에서는 일정시점의 효율성 분석이 아닌 1995년∼2001년까지 7개년 동안의 효율성을 시계열적으로 분석함으로써 각 항만의 효율성 변화를 살펴볼 것이며 이를 통해서 보다 유효한 효율성 분석 결과를 제시하고자 한다.

• 융합보안논문지
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• 제23권2호
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• pp.95-102
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• 2023

본 연구의 목적은 최근의 장교 지원율 하락에 따른 장교획득 수준의 시대적 심각성을 반영하여 장교 양성과정에서 핵심적인 역할을 수행하고 있는 일반대학 군사학과의 운영 수준을 상대적인 평가, 분석을 바탕으로 실증적 연구를 통하여 확인해 보고 개선을 위한 의미있는 결과를 확인하였다. 육군과 협약, 준협약을 통하여 운영되고 있는 일반대학 군사학과는 11개이며 대학별 군사학과 운영을 위해 투입되는 자원입력과 성과관점에서 자료포락분석법(DEA, Data Envelopment Analysis)을 적용하여 상대적인 효율성을 분석하고 개선을 위한 구체적인 방향을 확인하였다. 운영 효율성 분석결과, 11개 DMU 중에서 BCC모델의 경우 6개 대학이 효율적인 것으로 나타났고 자료포락분석 방법을 통하여 효율적, 비효율적인 집단에 대한 구분을 통해 평가결과를 확인해 볼 수 있었다. 본 연구는 상대적인 효율성을 평가하는데 여러 개의 평가요소를 한꺼번에 반영하여 초과, 부족한 부분을 나타내는 DEA-Additive 모델을 통해 비교대상 대학 군사학과들의 상대적인 측면에서 효율성을 확인하고 발전을 위한 구체적인 정보를 확인한다는 점에서 실용적 가치가 있을 수 있다.

• 경영과학
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• 제34권2호
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• pp.67-83
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• 2017

This paper proposes a R&D project performance measurement model for private firms combining balanced scorecard (BSC) and data envelopment analysis (DEA). The efficiency of R&D projects is measured in terms of each of the three perspectives of BSC by using DEA : the internal process perspective (DEA-P), the customer perspective (DEA-C), and the financial perspective (DEA-F). The performance indicators of the three perspectives of BSC are considered as outputs of the corresponding DEA models. To provide strategic implications for R&D planning, we also propose the R&D project performance matrices composed of two different types of efficiency dimensions. The proposed model is expected to be fruitfully utilized for R&D performance measurement of private firms.

• 품질경영학회지
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• 제37권1호
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• pp.80-90
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• 2009

Nowadays, there are many companies which employ the SQI measurement to assess service quality. The purpose of this study is to measure the service efficiency for Bank Industry. In this paper, we tried to measure the efficiency of service quality and overall customer satisfaction by using Data Envelopment Analysis(DEA). Rather than using the usual method of converting the Service Quality Index(SQI) into mean value, we applied CCR/BCC models in DEA to service quality efficiency. Also, DEA/PS Model is recommended as appropriate model for evaluating service efficiency by complementing the shortfalls of the weighted value of DEA Model. In this study, six dimensions of service quality were considered as input variables and output variables(overall customer satisfaction, reusing intention, and word of mouth). The result of this study statistically verifies that 5 DMUs are relatively efficient, and intensive activities for service efficiency are needed for 20 sample branches. Managerial implications based on the analysis were suggested.

• The Journal of Asian Finance, Economics and Business
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• 제8권3호
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• pp.527-538
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• 2021

The purpose of the study is to determine the efficiency, position, and partner selection of securities companies via the negative super-SBM model used in data envelopment analysis (DEA). This model utilizes a variety of inputs, including current assets, non-current assets, fixed assets, liabilities, owner's equity and charter capital, and outputs including net revenue, gross profit, operating profit, and net profit after tax collected from the financial reports (Vietstock, 2020) of 32 securities companies, operating during the period from 2016 to 2019, negative data are collected as well. Empirical results determined both efficient and inefficient terms, and then further determined the position of each securities firm under consideration of every term. The overall score arrived at discovered a large performance change realizing a maximum score able to reach 20.791. In the next stage, alliancing inefficient companies was carried out based on the 2019 scores to seek out optimal partners for the inefficient companies. The tested result indicated that AAS was the best partner selection when its partners received a good result after alliancing, as with FTS (11.04469). The partner selection is deemed as a solution helpful to inefficient securities companies in order to improve their future efficiency scores.