• Journal of Korean Society of Industrial and Systems Engineering
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• v.29 no.2
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• pp.1-6
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• 2006

This study proposes a new approach which combines Data Envelopment Analysis(DEA) and the Analytic Hierarchy Process(AHP) techniques to effectively evaluate Decision Making Units(DMUs). While DEA evaluates a quantitative data set, employs linear programming to obtain input and output weights and ranks the performance of DMUs, AHP evaluates the qualitative data retrieved from expert opinions and other managerial information in specifying weights. The objective of this research is to design a decision support process for managers to incorporate positive aspects of DEA's absolute numerical evaluations and AHP's human preference structure values. It is believed that a pragmatic manager will be more receptive to the results that include subjective opinions incorporated into the evaluation of the efficiency of each DMU efficiency. The WPDEA method provides better discrimination than the DEA method by reducing the number of efficient units.

• Journal of Information Management
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• v.40 no.3
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• pp.41-60
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• 2009

This study utilizes DEA/Window analysis in order to investigate the relative efficiency levels of korea national university libraries during the period of transition 2004-2008. The empirical results show the following findings. Firstly, a technical efficiency was not efficient which was a scale efficiency rather than a pure technical efficiency in 2008. Secondly, a technical and pure technical efficiency has increased steadily from 2004 to 2008(but a technical, pure technical efficiency has decreased since in 2008). As a result, a technical efficiency increase can be explained by a pure technical efficiency increase.

• Proceedings of the Korea Contents Association Conference
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• 2013.05a
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• pp.119-120
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• 2013

본 연구는 DEA기법을 이용하여 저성장, 저마진, 고위험의 삼중의 어려움 속에서 저비용 고효율의 생산조직과 리스크관리, 건전 여신 정착을 위해 건전성, 생산성, 자본적정성, 수익성이라는 상업은행의 핵심성과지표를 이용하여 효율성을 분석하였다. 분석결과 시중은행과 지방은행 모두 자본적정성에는 효율적이었으나 수익성과 생산성에 있어서는 시중은행이 지방은행보다 효율적이었다.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2004.10a
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• pp.661-664
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• 2004

본 연구는 DEA기법을 이용하여 14개의 국내 은행의 상대적 효율성을 평가하였다. 효율성 평가에 있어서 은행을 중개기관 접근방법에서 평가하였으며, 투입물과 산출물을 선정하는 데 있어서 신탁계정과 은행계정별로 구분하여 연구를 수행하였다. 또한 규모의 효율성을 평가하기 위해 CCR모형과 함께 BCC모형을 이용하여 효율성을 평가하였다. 분석결과 신탁계정과 은행계정의 효율성은 차이가 있었으며, 대부분의 은행들이 DRS의 규모의 효율성에 있는 것으로 나타났다.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.28 no.2
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• pp.18-26
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• 2005

The balanced scorecard(BSC) overcomes the limit of traditional financial statement that focuses on only financial performance. BSC is widely used in government and industry because of the clear representation of the relationship and logic between the key performance indicators(KPI) of 4 perspectives - financial, customer, internal process, and loaming and growth. However, traditional BSC does not consider evaluating the difference between the results measured by BSC. By using relatively small number of inputs and outputs In comparing decision-making units, data envelopment analysis(DEA) can aggregate multiple performance measures. In this research, we propose a methodology named CDB(Combined DEA and BSC) to evaluate the performance of organization considering financial and non-financial perspectives. CDB uses KPI of cause-and-effect relationship on BSC as inputs and outputs of DEA method. In addition, this research proposes a method of converting the KPI of BSC to the input and output variables of DEA, and enhancing discrimination power using the limit number of variables. We illustrate the methodology by giving an example of evaluating aquisition-unit efficiency in a supply chain.

• Proceedings of KOSOMES biannual meeting
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• 2006.05a
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• pp.15-20
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• 2006

In this study, we had investigated several input factors and output factors, to maintain safety management, of domestic shipping companies, and then had analyzed the efficiency of performance of performance about each shipping companies' safety management system from 1998 year to 2004 year using DEA method As the result of analysis, the annual mean efficiency of total companies tended downward every year. Analysis was that the cause was increase of the cost of repairing ship, the cost of ship's stores and idle day of ship.

• Korean Business Review
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• v.17 no.2
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• pp.185-202
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• 2004

There is an increasing interest in measuring and comparing the efficiency of organization units whose operations are functionally similar and autonomous. Data Envelopment Analysis(DEA) has been extensively used to evaluate the efficiency of non-profit organizations as a whole. This study applies a modified DEA model (Input-oriented BCC model with Nondiscretionary variables) to identify the performance of local government in Korea. It is found that utilizing DEA as a mean of evaluating the performance of local governments yields useful information to decision makers trying to maintain more efficient practices.

• Journal of Korea Port Economic Association
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• v.17 no.1
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• pp.27-51
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• 2001

The purpose of this paper is to investigate the productive efficiency of world container ports by using the DEA (Data Envelopment Analysis) method and raw data from previous research in measuring the international competitiveness of world container ports. Ports have to cope with rapid changes in shipping environments. In order for a port to compete in the global market, it must provide port services promptly and accurately. Basically, there are two approaches to measuring the international competitiveness of a container port. First, there is the traditional productivity analysis method, which analyzes productivity based on the container port's facilities (efficiency, selectivity, land availability), and by its general capacity (handling ability, storage capacity, terminal productivity). Second there is multi-attribute utility analysis, which considers several elements including the reasons for selecting particular container ports and factors determining international competitiveness. This paper follows the first method (traditional productivity analysis) and extends the limitation of previous studies by using the DEA method newly, and suggesting: the relative productive efficiency of container ports. The main results of this paper are as follows: First, the results of the DEA analysis in terms of world container ports matches that of a previous study (Jun et al., 1993) at a level of 35%. The low ratio is due to the constrained set of input-output elements, the result of only twenty container ports being analyzed in this paper. Second, the result of the DEA analysis in terms of North-East Asia's container ports matches with that of a previous study (Ha, 1996) at a level of 100 percent. Therefore we can conclude that the DEA analysis is the best measurement method for international competitiveness. Policy implications for this study are as follows: First, when port authorities want to measure the international competition power of container ports and enhance their productive efficiency, they should consider the traditional method and newly introduce the DEA method. Second, according to the analysis results of the DEA method, pen authorities should recommend benchmarking ports as reference ports in order to enhance the productive efficiency of container ports that show an efficiency score of below 1.

• Proceedings of the KAIS Fall Conference
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• 2007.05a
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• pp.303-306
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• 2007

본 논문에서는 DEA 기법을 이용하여 고객들이 이동통신사를 선정하기 위한 모텔을 제안하였다. 소비자들은 이동통신사를 선정함에 있어 여러 가지 기준들에 의한 합리적인 의사결정을 내리기가 용이하지 않다. 본 논문에서는 다기준 의사결정방법들 중 정성적인 평가요소들을 기준으로 대안의 효율성을 고려한 DEA 기법을 활용하여 소비자들의 이동통신사 선정에 도움을 주고자 하였다.

• Journal of the Korea Society of Computer and Information
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• v.5 no.2
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• pp.158-164
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• 2000

The purpose of this study is concerned with evaluating management performance in electronics and communication companies using DEA(Data Envelopment Analysis) DEA is a linear programming based technique for measuring the relative performance of organizational units where the Presence of multiple inputs and outputs makes comparisons difficult. In this research. input variables are raw-material costs, number of employees, and production capacity Real production, sales revenue and net earning are suggested as output variables. Management performance of most companies are increased or equal during 97 and 98 fiscal year and input & output variables show high correlation.