• Health Policy and Management
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• v.20 no.4
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• pp.74-96
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• 2010

The purpose of this empirical study is to evaluate efficiency of the regional public hospitals, using DEA(Data Envelopment Analysis). to do this, we design a DEA-AR/AHP Hybrid model to evaluate efficiency of 34 Regional Public Hospitals. the proposed model is developed by adding Acceptance Region(AR). using analytical hierarchy process(AHP). this model is compared with those of typical DEA models. Financial data used in this study were obtained from Database of the Korea Association Regional Public Hospital and analyzed using DEA model. As a result of analysis, This study found that the DEA-AR/AHP Hybrid model was superior to those typical DEA models in determining the priority among efficient hospitals. the result of this study can provide helpful information to evaluate the efficiency of public hospitals for efficient operational management, to develop more precise measurement for the priority of the efficient hospitals.

• The Journal of shipping and logistics
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• v.27 no.3
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• pp.457-474
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• 2011

The aim of this study is to analyze the efficiency of major ports in Northeast Asia such as Korea, China and Japan. For the empirical analysis, we tried to apply the data envelopment analysis (DEA), which is an efficiency evaluation model based on mathematical programming theory, and we also established a model to Northeast Asian ports. In our opinion, DEA analysis which involves multiple inputs as well as multiple outputs in its efficiency valuation makes analysis more suitable for port efficiency measurement because ports produce a number of different outputs. In this paper, we attempted to analyze the relative efficiency of 27 ports (5 Korean ports, 13 Chinese ports, 9 Japanese ports) through DEA-CCR, DEA-BCC models. According to the result, Chinese ports are relatively efficient than Korean and Japanese ports. The result of the analysis shows that 7 Chinese ports are efficient in DEA-CCR model in 2009, but in DEA-BCC model 8 Chinese ports and 1 Koran port are efficient. Most of inefficient ports have a value closed to 1 in efficiency for scale, it means that the reason of inefficiency is caused from the technical aspect. Furthermore, we also verified that there exists excess of input in Korean and Japanese ports than Chinese ports.

• Journal of Digital Convergence
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• v.10 no.9
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• pp.159-164
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• 2012

Although the display industry plays an important role in the entire Korean economy, few empirical research has analyzed the efficiency of display companies. The purpose of this paper is to measure and analyze efficiency of korean listed display firms using DEA(Data Envelopment Analysis) models. We evaluate the CCR and BCC efficiency in DEA models and the return to scale of the Korean listed display companies. The benchmarking companies and efficiency value for the display companies with inefficiency are also provided to improve their efficiency. We analyzed the 44 listed companies consisted of 7 listed on KOSPI and 37 listed on KOSDAQ at the end of 2010. The analysis results show six companies whose values of CCR are 1, and fourteen firms whose values of BCC efficiency are 1. In additions, the six companies have the scalability efficiency. Eventually the efficiency analysis can provide the valuable information for inefficient companies to find benchmarking companies and to improve their efficiency.

• Journal of Venture Innovation
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• v.1 no.2
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• pp.35-46
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• 2018

The research on the efficiency analysis of domestic auto parts companies is mostly based on the calculation of the magnitude of the performance creation such as the sales amount compared to the input assets. However, the performance indicators such as sales, operating profit, and net profit are directly related to the cost structure and This cost structure is affected by changes in the firm's asset and capital structure. As a result, it is considered that efficient capital procurement needs to be done at the same time to create efficient management performance through proper investment. This study focuses on this point and attempts to measure the efficiency of procurement capital relative to the sales and other performance indicators generated by the first 33 suppliers who supply parts to Hyundai Kia Motors. Among the methods of evaluating efficiency, the DEA model based on the linear programming method is most widely used as a nonparametric method but The efficient frontier-based DEA model has the limitation that it can not use the variables that have a downward influence on the efficiency. This is inadequate to directly consider variables such as borrowings and total liabilities related to capital procurement. In this study, the efficiency of capital procurement was measured using Worst Practice DEA and the improvement direction of the capital procurement aspect of domestic auto parts companies was suggested

• Proceedings of the Korea Society of Information Technology Applications Conference
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• 2007.11a
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• pp.108-109
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• 2007

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.12B
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• pp.815-825
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• 2007

It is necessary to establish a systematic framework where the performance of governmental funding projects can be evaluated just-in-time as well as objectively regarding IT small and medium-sized enterprises and venture business. In this study, a framework is proposed for the performance evaluation using Data Envelopment Analysis (DEA) and a case study is illustrated with an empirical dataset. Especially, in order to enhance the reliability of optimal solutions, a DEA/AR-I revised model is developed by adding Acceptance Region (AR) Type I constraints into the DEA basic model. Based on the procedure and the models, it is considered that an 'efficiency score' can be calculated as a guideline for conducting successive performance evaluation processes fast. As for major governmental funding projects with respect to 'IT SMERP 2010 Plan', performance evaluations are discussed concerning between projects as well as between corporate entities within each project.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.9
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• pp.501-507
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• 2018

Owing to the complexity and modernization of weapon systems, the role of the defense industry in producing military supplies has become increasingly important. In previous defense industries, price competitiveness was a key factor in the product choice. On the other hand, as exports of domestic military supplies are expanding rapidly based on superior quality, there is a need to evaluate objectively the efficiency of management in the domestic defense industry. In this study, the efficiency of management was measured using DEA, which is one of the decision methodologies. In addition, the number of employees (QA Employee) and R&D performance were set as input variables to utilize DEA, and the output variables were based on sales and operating profit. Based on the results of the analysis, a future study will measure the efficiency of the management of domestic defense industry to help guide a strategic development plan.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.10
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• pp.7109-7117
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• 2015

Investors analyze corporate value using the methodology trying to simultaneously satisfy the profitability and stability. In this study, comparing/combining the methodology of corporate value analysis to present a method of analyzing the optimal corporate value. The results of this study can be classified into two. First, it is a model derivation for corporate value analysis. EVA, AEM, and DDM models, to analyze the results, it was look in terms of profitability and stability. EVA and AEM model was stable than the market, profitability appear high, it was suitable to assess the value of the company. However, DDM, which is more stable than the market, profitability is low, it was not suitable. Secondly, by metering the existing methodology presented a new analysis method. A result of a combination of methodology was analyzed by deformation model, "AEM + DEA" and "DDM + DEA", "AEM + EVA", it was found that it is better than the market and the traditional model. AEM and DDM modified model was also found to be better than the market and the existing methodologies. This was reflected in a situation where a change in market environment based on, for being able to present an appropriate analytical method, it can find the suggestions of the study.

• Journal of Digital Convergence
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• v.11 no.5
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• pp.119-133
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• 2013

This study aims to provide power generating plants with eco-efficiency information. To implement the purposes, of study, both DEA(Data, Envelopment Analysis) model and interview were incorporated in terms of methodologies. To analyze the managerial efficiency, total labor cost and number of employees were considered as input factors. CO2, NOx, and water also were considered as input factors to analyze eco-efficiency. Both annual total power product and annual total revenue were used as output factors. CRS(Constant Return to Scale) and VRS(Variable Return to) model were facilitated in this analysis. According to the findings, most of the power plants were evaluated as 'Efficient'' taking into consideration of average value, both 0.928 from CCR model and 0.969 from VRS model. 7 DMUs including DMU3 and DMU12 are efficient out of 35 DMUs relatively, other DMUs are inefficient. For results of inefficient output factors distribution, it was found that inefficiency for NOx was marked relatively higher than CO2. In order to improve the eco-efficiency in the power plants in the long term, the target amount of Co2 as well as NOx reduction needs to be properly proposed in consideration of particularity of power plants. In the long run, renewable energy, alternative fuels should be adapted to reduce the eco-inefficient.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2015.07a
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• pp.194-196
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• 2015

우리나라 항만배후물류단지는 선진항만에 비해 활성화가 미흡하고 다양한 비즈니스모델 개발이 필요하다. DEA모형을 이용하여 우리나라 항만배후물류기업의 경영 효율성을 비교, 분석함으로써 항만배후물류기업의 효율성 수준을 파악하고, 비효율적인 항만배후물류기업의 효율성 개선방안을 제시하고자 하였다.