• 한국철도학회논문집
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• 제16권2호
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• pp.117-121
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• 2013

철도선로구간의 노후도는 궤도, 노반, 교량, 터널 등 요소시설의 노후도로 결정되며 궤도의 선형 또한 선로구간 노후도에 영향을 준다. 본 논문에서는 계층구조분석(analytic hierarchy process: AHP)과 자료포락분석(data envelopment analysis: DEA)을 활용하여 선로구간의 노후도를 평가하는 방법을 제시한다. AHP는 다수의 전문가들이 평가하는 각 요소시설의 중요도를 체계적으로 파악할 수 있도록 해준다. 요소시설에 대한 중요도는 전문가에 따라 달라질 수 있다. DEA는 선로구간 요소시설의 중요도 가중치 범위를 체계적으로 반영하여 선로구간의 노후도를 평가할 수 있도록 해준다.

• 산학경영연구
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• 제17권2호
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• pp.185-202
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• 2004

최근에 들어서 비영리조직의 성과에 대한 평가하는데 관심이 증가하고 있다. 선형계획법을 기초로 하여 개발된 DEA는 유사한 목표와 기능을 가진 조직들의 효율성을 측정 평가하는 기법이다. 본 연구에서는 우리나라 지방자치단체(시)의 성과를 평가하기 위하여 수정된 DEA모형(조직의 재량권이 제한된 투입지향적 BCC모형)을 이용하였다. 투입요소는 공무원(일반직, 기능직 및 정무직)의 수, 지방세부담액, 세출결산급액이고, 산출요소는 재정자립도, 하수도보급률, 상수도보급률, 도로율, 의료인의 수, 공공체육시설 및 공공문화시설의 수를 사용하였다. 지방자치단체의 성과를 평가하는 방법으로 DEA를 활용하는 것이 자치단체의 운영에 관련된 유용한 정보를 제시하고 있음을 알 수 있었다.

• The Journal of Asian Finance, Economics and Business
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• 제9권7호
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• pp.261-271
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• 2022

Over the last 20 years, the insurance industry in Vietnam has been rapidly growing with an average annual growth rate of 21%, one of the most active markets in Southeast Asia, raising the question of efficiency to managers, investors, and regulators. This article is one of the first research works using Data Envelopment Analysis combined with the Malmquist index over the period from 2016 to 2020 for 37 insurance firms in Vietnam to investigate the efficiency of this sector. The value-added approach is employed with total equity and operating expenses as inputs, finance income, and gross written premium as outputs. The findings reveal that most of Vietnam's insurance companies are operating quite effectively, and the non-life sector is more efficient than the life sector. There is also a regression in efficiency change, while there is a progression in technological change and total factor productivity change during the period examined. The goal of this research is to give a fundamental understanding of the overall efficiency of insurance firms in Vietnam, and help managers, investors, policyholders, and government agencies make better decisions regarding self-assessment, M&A activities, deregulation... Consequently, the insurance sector could improve in terms of efficiency and develop sustainably over time.

• ETRI Journal
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• 제33권3호
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• pp.443-453
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• 2011

This paper evaluates the efficiency of mobile content firms through a hybrid approach combining data envelopment analysis (DEA) to analyze the relative efficiency and performance of firms and principal component analysis (PCA) to analyze data structures. We performed a DEA using the total amount of assets, operating costs, employees, and years in business as inputs, and revenue as output. We calculated fifteen combinations of DEA efficiency in the mobile content firms. We performed a PCA on the results of the fifteen DEA models, dividing the mobile content firms into those having either 'asset-oriented' or 'manpower and experience-oriented' efficiency. Discriminant analysis was used to validate the relationship between the efficiency models and mobile content types. This paper contributes toward the construction of a framework that combines the DEA and PCA approaches in mobile content firms for use in comprehensive measurements. Such a framework has the potential to present major factors of efficiency for sustainable management in mobile content firms and to aid in planning mobile content industry policies.

• 한국정보과학회논문지:소프트웨어및응용
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• 제41권8호
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• pp.598-604
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• 2014

본 연구는 주요변수를 선정하는 기법을 개발하기 위해서 단계적 회귀와 변수들의 효율성을 평가하기 위해 사용되는 자료봉합분석을 결합한 새로운 방법을 제안하였다. 이를 위해서 먼저 단계적 회귀를 이용하여 중요 변수들을 일차적으로 선정하고, 선정된 각 변수들의 중요도를 이해하기 위해 귀무가설을 세웠고, 중요 변수를 선택하기 위해 Kruskal-Wallis 검정을 사용했다. 또한 해당되는 변수를 Conover-Inman 검정을 사용하여 변동이 발생하는 각 변수들의 우선순위를 결정하였다. 따라서 그 결과, 많은 변수들과 DEA(Data Envelopment Analysis)의 한계를 극복하기 위해 원래 계획된 변수들 중 기준에 의해 원래 유지된 변수와 높은 연관성을 가진 변수들을 남기는 방식으로 변수를 선정하는 기법을 개발한 Jenkins의 기존연구에서는 I2, I4, I5, I6 변수가 누락되었고 I1, I3 변수만이 DEA에 사용되었지만, 본 논문에서 제안된 모델의 효율성 결과로는 I2와 I4 변수를 각각 유지하였다. 본 연구는 다른 문헌에서 단계적 변수의 선택을 보여주기 위해 같은 데이터 집합을 사용하였는데, 여기서 Jenkins의 연구와 같이 변수 I6과 I1, I2를 삭제하였고, I3, I4, I5는 유지하였다. 결론적으로 단계적 회귀 DEA 모델을 사용하여 긴 계산적 절차 없이 변수 선택이 가능함을 발견했으며 기존 연구의 데이터를 적용하여 제안된 모델을 검증하였다. 개발한 DEA모델 결과는 상호 변수에 따라 포함되거나 생략할 수 있기 때문에 실제 현실 상황에서의 지식과 경영적 판단에 매우 유용할 것이다.

• 산업경영시스템학회지
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• 제29권2호
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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.

• 상하수도학회지
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• 제35권2호
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• pp.121-133
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• 2021

This study set up the estimates of leakage management efficiency evaluation and leakage management goal that could be used in local water distribution networks efficiency business and modernization business. The data were analyzed using data envelopment analysis and multiple regression analysis. To this end, with leakage management input indices concerning leakage reduction activities (e.g., aged pipe replacement, water meter replacement, leakage restoration, and leakage detection) and leakage management calculation indices (e.g., the increase of revenue water ratio and the reduction of leakage ratio), the data on 22 K-water consignment local water supply systems were analyzed for the years from 2004 through 2018. Using the results of efficiency analysis by data envelopment analysis, the other DMUs (Decision Making Unit) benchmarked the DMU with the highest efficiency to maximize the leakage management efficiency for all DMUs. Through this, leakage management goal estimates were drawn with the input indices of four leakage reduction activities and calculation indices of the increase of revenue water ratio and the reduction of leakage ratio by multiple regression analysis for each group based on the revenue water ratio and leakage ratio. The correlation coefficients of the leakage management goal estimate for the criteria for the revenue water ratio amounted to 0.553 and 0.771. The correlation coefficients of the leakage management goal estimate for the criteria for leakage ratio were 0.397 and 0.865. Accordingly, we estimated the quantity and priority of four leakage reduction activities for the target leakage ratio and revenue water ratio.

• 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.

• 자원ㆍ환경경제연구
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• 제25권2호
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• pp.299-320
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• 2016

본 연구는 자료포락분석의 target-setting approach를 기초로 우리나라 16개 지자체의 에너지 효율성을 추정하고, 에너지 효율향상을 통해 저감할 수 있는 에너지 소비수준을 계측한다. 나아가 에너지 믹스변화에 의한 지역별 환경성과를 분석하고 그에 따른 이산화탄소 감축효과를 평가한다. 분석결과, 표본기간 2004년~2013년 동안 평균적으로 14.0%의 에너지 비효율이 존재하며, 특히 석유연료의 비효율적 사용이 주요 광역시를 중심으로 크게 나타났다. 또한 에너지 소비구조의 변화를 통해 에너지 효율향상과 추가적인 이산화탄소 저감가능성이 발생하며, 적극적인 에너지 믹스전략의 필요성을 확인할 수 있었다.