• Title/Summary/Keyword: Envelopment

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

  • 허은녕;송성수;김태유
    • Journal of Korea Technology Innovation Society
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    • v.2 no.2
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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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A Study on an Evaluation Model of Computer Aided Software Engineering Tools by Combining Data Envelopment Analysis With Analytic Hierarchy Process (DEA와 AHP를 혼용한 소프트웨어공학 지원도구 평가 모형 연구)

  • Lee, Jung-Sook;Kim, Woo-Je
    • Journal of Information Technology Services
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    • v.8 no.2
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    • pp.173-187
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    • 2009
  • CASE tools are complex software products offering many different features. Systems professionals have evaluated various CASE products from a feature and attribute basis. Each product has a different mix of strengths and weaknesses as perceived by the end user. Specific CASE tools support different steps of the applications development process as well as varying methodologies. In this paper we develop a method for evaluating CASE tools. The model has an analytic hierarchy process for evaluating CASE tools in terms of functionality, management efficiency, and support ability of provider, and a data envelopment analysis for overall evaluation considering cost and AHP results. We applied the developed model to a real world case study.

Efficiency Analysis of the Defense Research Center and Improvement of Performance (국방특화연구센터의 효율성 분석 및 연구 성과 향상방안 연구)

  • Choi, Seok-Cheol;Bae, Yoon-Ho
    • Journal of the Korea Institute of Military Science and Technology
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    • v.11 no.6
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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.

The influence of direction of late arriving sound on listener envelopment

  • Chol Y.J.;Higa N.;Fujimoto K.;Furuya H.
    • Proceedings of the Acoustical Society of Korea Conference
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    • spring
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    • pp.332-335
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    • 1999
  • The purpose of this study is to make clear that the relationship between the directional properties of late arriving sound and listener envelopment (LEV). Psycho-acoustical experiments are performed with an objective measure of inter-aural cross-correlation(IACC) in order In predict whether LEV is perceived equally in two kinds of sound fields with horizontal or vertical component of late arriving sound. It is found that LEV is affected by not horizontal component of late arriving sound but also vertical one.

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A patent analysis method for identifying core technologies: Data mining and multi-criteria decision making approach (핵심 기술 파악을 위한 특허 분석 방법: 데이터 마이닝 및 다기준 의사결정 접근법)

  • Kim, Chul-Hyun
    • Journal of the Korea Safety Management & Science
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    • v.16 no.1
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    • pp.213-220
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    • 2014
  • This study suggests new approach to identify core technologies through patent analysis. Specially, the approach applied data mining technique and multi-criteria decision making method to the co-classification information of registered patents. First, technological interrelationship matrices of intensity, relatedness, and cross-impact perspectives are constructed with support, lift and confidence values calculated by conducting an association rule mining on the co-classification information of patent data. Second, the analytic network process is applied to the constructed technological interrelationship matrices in order to produce the importance values of technologies from each perspective. Finally, data envelopment analysis is employed to the derived importance values in order to identify priorities of technologies, putting three perspectives together. It is expected that suggested approach could help technology planners to formulate strategy and policy for technological innovation.

An Analysis of Economic Efficiency of Fruits Farms: the Case of Apples, Pears, and Grapes Farms (과수 재배농가의 경영효율성 분석: 사과·배·포도를 중심으로)

  • Lee, ChoonSoo;Yun, Sung-Ju;Kim, GunA;Yang, Seung-Ryong
    • Korean Journal of Organic Agriculture
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    • v.23 no.4
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    • pp.615-641
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    • 2015
  • This study analyzes an economic efficiencies of apples, pears, and grapes farming. We evaluate an annual economic overall efficiency (OE), allocative efficiency (AE), technology efficiency (TE), pure technology efficiency (PTE), and scale efficiency (SE) using data envelopment analysis (DEA). We also measure returns to scale of farms, and the change of technical efficiency of frontier farms. Lastly we estimate the effects of some explanatory variables on allocative, pure technical, and scale efficiencies.

Productivity Evaluation and Comparision of Korean Provincial Hospitals (한국 지방공사 의료원의 생산성 평가와 비교)

  • Ahn, Tae-Sik;Park, Jung-Sik
    • Korea Journal of Hospital Management
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    • v.2 no.1
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    • pp.22-47
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    • 1997
  • This paper evaluated the relative efficiency of 33 provincial medical centers using Data Envelopment Analysis(DEA) and compared the DEA efficiency results with those of the current method conducted by the management evaluation team. DEA Was selected as an alternative efficiency evaluation method since it could handle multiple inputs and multiple outputs simultaneously and identify the sources of inefficiency. To analyze the sensitivity of productivity values to the variable sets, four different sets of input and output variables were identified. Results showed that most of the medical centers are operating far away from the efficiency frontier supporting the previous results. Some centers showed 100% efficiency regardless of the selected variable sets. DEA results are compared with current management evaluation results. Some inconsistencies were found for some DMUs between the results of two methods showing the existence of methodology bias. DEA results and ratio analyses results mostly agree for 1992 data.

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A Comparative Study on the Human Resource Efficiency between the Korean and Japanese Municipal Hospitals using Data Envelopment Analysis (DEA를 이용한 한국과 일본 공공병원의 인적자원 효율성 평가)

  • Nam, Sang-Yo
    • Korea Journal of Hospital Management
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    • v.12 no.1
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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.

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DTZ MODEL WITH INDEPENDENT SUBSYSTEMS

  • Duan, Yongrui;Tian, Peng;Zhang, Weiping
    • Journal of applied mathematics & informatics
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    • v.14 no.1_2
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    • pp.173-183
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    • 2004
  • Data envelopment analysis(DEA) is a mathematical programming approach to asses s relative efficiency of a group of decision-making units. In view of the defects of existing models in evaluating efficiency of the system with P independent subsystems, Yang et al. [10] introduced YMK model with the assumption that decision-making unit(DMU) is independent of each other. But in some production systems, decision-making units usually have some relationships in this way or that. In this paper, DEA model is given by assuming that DMUs can cooperate with others in its subgroups. Some property and the efficiency relationship of the whole system and its subsystems are given.

A Comparison of Efficiency Estimation Methods via Monte Carlo Analysis (몬테카를로 분석에 의한 효율성 추정방법의 비교)

  • 최태성;김성호
    • Korean Management Science Review
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    • v.19 no.1
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    • pp.117-128
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    • 2002
  • In this Paper we investigate the performance of the five efficiency estimation methods which include the stochastic frontier model estimated by maximum likelihood (SFML), the stochastic frontier model estimated by corrected ordinary least squares (SFCOLS), the data envelopment analysis (DIA) model, the combined estimation of SFML and DEA (SFML + DEA), and the combined estimation of SFCOLS arid DIA (SFCOLS+ DEA) using Monte Carlo analysis. The results include: 1) SFML provides most accurate efficiency estimates for the sample sloe 150 or over,2) SFML+DEAor SFCOLS + DIA Perform better for the cases with sample sloe 25, 50, and low random errors, 3) SFCOLS performs better for the close with sample sloe 25, 50, and very high random errors.