• 제목/요약/키워드: DEA method

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공공도서관의 효율성 비교 분석 -서울시 및 6대 광역시의 102개 공공도서관을 대상으로 - (Comparing the Efficiency of Public Libraries)

  • 김선애
    • 한국문헌정보학회지
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    • 제41권2호
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    • pp.237-256
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    • 2007
  • 이 연구는 비영리 조직의 상대적 효율성을 측정하는 평가모형으로 관심을 모으고 있는 자료포락분석(Data Envelopment Analysis, DEA)을 활용하여 서울 및 6대 광역시의 102개 공공도서관의 효율성을 비교 분석하는데 목적이 있다. 이를 위해서 4개의 투입변수와 4개의 산출변수를 선정하였으며 산출극대화 모형을 분석에 이용하였다. 서울시 및 6대 광역시의 102개 공공도서관을 대상으로 DEA의 효율치를 산출하였을 뿐만아니라 도서관별 준거집단 분석을 통하여 비효율적인 도서관의 잠재적인 개선가능치를 제시하였으며, 비효율요인을 분석하였다. 분석결과 도서관별로 효율치에 상당한 차이를 보였으며, 지역별 그리고 운영주체별 효율치 비교에서 효율치의 최고 격차는 각각 10.2%와 18.2%로 나타났다.

첨단산업기술(6T) 연구개발사업의 효율성 분석: 2단계 네트워크 DEA 접근의 적용 (Analyzing the Efficiency of National 6T R&D Projects by Two-stage Network DEA Approach)

  • 남현동;남태우
    • 산업경영시스템학회지
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    • 제44권3호
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    • pp.248-261
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    • 2021
  • Scientific and technological performances (e.g., patents and publications) made through R&D play a pivotal role for national economic growth. National governments encourage academia-industry cooperation and thereby pursue continuous development of science technology and innovation. Increasing R&D-related investments and manpower are crucial for national industrial development, but evidence of poor performance in business performance, efficiency, and effectiveness has recently been found in Korea. This study evaluates performance efficiency of the 6T sector (Information Technology, Bio Technology, Nano Technology, Space Technology, Environment Technology, Culture Technology), which is considered a high-potential promising industry for the next generation growth and currently occupies two thirds of the national R&D projects. The study measures the relative efficiency of R&D in a comparative perspective by employing the Data Envelopment Analysis (DEA) method. The result reveals overall low efficiency in basic R&D (0.2112), applied R&D (0.2083), development R&D (0.2638), and others (0.0641), confirming that economic performance and efficiency were relatively poor compared to production efficiency. Efficient R&D needs policy makers to create strategies that can increase overall efficiency by improving productivity performance and quality while increasing economic performance.

DEA를 이용한 가정식사대용식 프랜차이즈 매장 효율성 측정 (Measuring Efficiency of HMR Franchise Restaurants Using DEA)

  • 최성식;우대일
    • 한국프랜차이즈경영연구
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    • 제6권1호
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    • pp.1-20
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    • 2015
  • Home Meal Replacement (HMR) products are ready-to-eat or pre-cooked food products that are consumed at daily home. HMR market has grown rapidly due to societal changes: increases in female social activities, silver population, and one-person households. Consumption channels of HMR can be classified into take-out, delivery, and retail. In Korean HMR market, retail sector is largely growing, but companies are focusing their business on the home delivery sector. Moreover, franchise companies are expanding their areal coverage in the HMR market based on their multi-unit strategy. However, more research on the HMR market is needed as existing studies are limited in conceptualization, classification, and processed food from malls or home-shopping channels. Therefore, we conducted the efficiency analysis on Gukseonsaeng, one of franchises that applied the take-out channel, using DEA method. According to the research on 29 franchisees of Gukseonsaeng, 77.9% of input appeared inefficient for technical efficiency, while 53.3% of input appeared inefficient for scale efficiency. Thus, we found that franchises of Gukseonsaeng are structured in increasing returns to scale (IRS), so enhancing efficiency by expanding scales need to be implemented.

DEA를 이용한 손해보험회사의 효율성 측정에 관한 연구 (A Study on the Efficiency of Property-Liability Insurance Companies using DEA)

  • 민재형;김진한
    • 한국경영과학회지
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    • 제23권2호
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    • pp.201-217
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    • 1998
  • This paper attempts to show how DEA(data envelopment analysis), a nonparametric productivity analysis method, can be employed for insurance companies to improve their respective efficiencies and competitiveness. Specifically, we measured relative technical efficiencies and returns to scale of 11 Korean property-liability insurance companies using BCC model, and raised several issues including the cause of inefficiency, benchmarking toward reference set and resource allocation concerning the insurance companies. Also, in order to monitor the variability of the research results over periods, we employed longitudinal analysis to see the moving patterns of technical efficiencies, returns to scale and frequencies included in the reference set of the individual insurance companies under consideration. The methodology and the results in this paper may also serve as a useful guideline for individual insurance companies to set their respective business strategies.

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AHP와 DEA를 활용한 차세대 게임기 우수성 평가 (A study on a new generation game console using AHP and DEA method)

  • 서명민;김우제
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 2007년도 추계학술대회 및 정기총회
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    • pp.167-170
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    • 2007
  • 본 연구는 차세대 게임기의 하드웨어 성능 및 소프트웨어 측면에서 시장에 판매중인 차세대 게임기의 우수성을 평가하는 방법을 개발하고 실제 적용하는 것이 목적이다. 먼저 하드웨어 측면과 소프트웨어 측면에서의 차세대 게임기를 평가하기 위한 평가요소를 도출하고 이를 AHP(Analytic Hierarchy Process)와 DEA(Data Envelopment Analysis)에 의해 분석모델을 개발하였다. 평가요소로는 비디오, 오디오 및 기타 장치관련 요소들이 도출되었다. 또한, 차세대게임기에 대한 설문조사 및 데이터 조사를 실시하여 심층 분석하였다 이 논문으로 차세대 게임기 구매 시 결정 기준을 만들어 우수한 평가기준을 수립하는 것이 목적이다.

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효율성 기준에 입각한 공학교육 평가 (An Efficiency-based Evaluation for Engineering Education)

  • 허은녕;송성수;김태유
    • 기술혁신학회지
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    • 제2권2호
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    • pp.249-265
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    • 1999
  • This study examines the efficiency of engineering education using DEA(data envelopment analysis) which is often used in the efficiency evaluation of public services. We evaluate 27 mechanical engineering departments according to academy-basis, general basis, and employment-basis considering students' academic level and input costs as input factors. Our empirical results suggest that an evaluation method using DEA can give us useful informations such as benchmarks to improve education specialization where it is desirable, decisions about whether a department should expand its gross input or not, and proper directions about which input factors should be controlled and how much control is needed.

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공공병원의 效率性과 사회적 역할 (Efficiency of Public Hospitals and Their Social Role)

  • 정형선;이기호
    • 보건행정학회지
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    • 제6권2호
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    • pp.1-13
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    • 1996
  • To evalate the efficiency of public and private hospitals, the author used Data Envelopment Analysis(DEA), a mathematical linear programming method calculating the of ficiency of a unity(DMU: Decision Making Unit) in relation to the other units in analysis. DEA was applied to thirty three (10 public and 23 private) general hospitals wiwith 160 to 299 beds. In respect to productivity, public hospitals appeared to be a little more efficient than private ones, even though it's statisticansignificant. However, the efficiency score for profitability conversed that these contrary results were due to the caring of more medical protection patients in public hospitals, who brought less revenlue to te hospital than other patients. Public hospitals' superiority to private counterparts in productivity, which are aguged mainly based on cared patients, suggests that the former contributes so much positively to social utility. In particular, the fact that public hospitals are caring more medical protection patients, namely the poverty group whom the society should bear a burden of by all means, seems to be desirable in respect of role of publi hospitals.

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DEA 분석을 통한 프랜차이즈 기업의 평가 (An Assessing of Franchisor's Firm Performance Based on Data Envelopment Analysis)

  • 김선민
    • 대한안전경영과학회지
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    • 제16권4호
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    • pp.359-369
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    • 2014
  • Due to the severe market conditions, pre-entrepreneur seeks to start their business through franchise company. This paper, using the data envelopment analysis(DEA) method, examines efficiency of a group of franchise company in order to provide efficiency information with pre-entrepreneur. Output-oriented DEA model is applied in the investigation of efficiency, and the overall efficiency score is decomposed into pure technical efficiency and scale efficiency. The input variables selected to evaluate the efficiency are franchise deposit, franchise contribution cost and the output variables are sales and number of franchises, and length of business. The results of this paper show franchise industry have the low level of overall efficiency and the main sources of inefficiency is found technical rather than scale. As a result, this paper provides not only the current status of efficiency information of a franchise with pre-entrepreneur but also give warning when they sign-up with franchise business.

DEA를 활용한 성과평가 지표의 가중치 결정모형 구축 : 평생학습도시 성과평가 지표 적용 사례를 중심으로 (Learning City Performance Measurement and Performance Measure Weighting Decision based on DEA Method)

  • 임환;손명호
    • 한국IT서비스학회지
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    • 제9권4호
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    • pp.109-121
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    • 2010
  • Most organizations adopt their own performance measurement systems. Those organizations select performance measures to meet their goals. Organizations can give only limited description of what performance measures are. Kaplan and Norton suggest that the Balanced Scorecard (BSC) to complement the conventional performance measures. The BSC can provide management system with a comprehensive strategic vision and integrates non-financial measures with financial measures. The BSC is widely used for measuring corporate performance. This paper investigates how the BSC-based performance measures can be applied to Learning City. The Learning City's performance measures and strategy map on the basis of the BSC are suggested in this research. This paper adopt the AR(assurance region)-DEA model which could limit the range of weight on performance measures to prevent each viewpoint of BSC from having unlimited elasticity. The proposed model is based on CCR model including a property of unit invariance to use the data without normalization process.

DCBA-DEA: A Monte Carlo Simulation Optimization Approach for Predicting an Accurate Technical Efficiency in Stochastic Environment

  • Qiang, Deng;Peng, Wong Wai
    • Industrial Engineering and Management Systems
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    • 제13권2호
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    • pp.210-220
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    • 2014
  • This article describes a 2-in-1 methodology utilizing simulation optimization technique and Data Envelopment Analysis in measuring an accurate efficiency score. Given the high level of stochastic data in real environment, a novel methodology known as Data Collection Budget Allocation-Data Envelopment Analysis (DCBA-DEA) is developed. An example of the method application is shown in banking institutions. In addition to the novel approach presented, this article provides a new insight to the application domain of efficiency measurement as well as the way one conducts efficiency study.