• Title/Summary/Keyword: 자료포락 분석

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Efficiency analysis of agricultural machinery rental system using the DEA model (자료포락분석법을 이용한 농기계 임대사업의 효율성 분석)

  • Hong, Soon-Jung;Huh, Yun-Kun;Chung, Sun-Ok;Hong, Song-Hyun
    • Korean Journal of Agricultural Science
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    • v.39 no.2
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    • pp.279-289
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    • 2012
  • This study was conducted to survey and diagnose operation status of the agricultural machinery rental service, analyse and compare operational efficiency among 82 city and county ATDEC (agricultural technology development and extension center) using the DEA (Data Envelopment Analysis) method, and recommend future direction, for improvement of the business. Input variables were invested budget and labor, and output variable was rental return. Percentages of return to investment on the rental service were calculated as 68.3% and 63.9% when analyzed with CCR (Charnes, Cooper and Rhodes) and BCC (Banker, Charnes and Cooper) models, respectively, indicating inefficiency of the service operation. Increase of rental charge would increase efficiency by 63.9~68.3% depending on models, and decrease of financial and labor investment would improve the efficiency by about 11.3%. Technical efficiency would be more important than scale efficiency, therefore adjustment of over-invested budget and labor needed to be made together with increase of rental charge to improve the operation. Among the ATDECs providing the rental service, 6 (7.3%), 43 (52.4%), and 33 (40.2%) were in state of CRS (constant return to scale), IRS (increasing return to scale), and DRS (decreasing return to scale), respectively. These indicated public aspects of the rental system, over-investment, lack of output component for input component, meaning that scale income would be increased by qualitative expand of rental charge. Efficiency analysis of the rental system by region showed that efficient ATDECs to be benchmarked by others were in the order of DMU-70, DMU-54, DMU-29, DMU-5, DMU-22, DMU-2, and DMU-61. More comprehensive and extensive survey and analyses would be necessary in the future.

Efficiency Analysis of Project Management Offices Using Bootstrap DEA (부트스트랩 자료포락분석을 이용한 프로젝트 관리 조직의 효율성 분석)

  • Ko, Joong-Hoon;Park, Sung-Hun;Bae, Eun-Song;Kim, Dae-Cheol
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.41 no.3
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    • pp.61-71
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    • 2018
  • The purpose of this study is to analyze the efficiencies of project management offices in large information system construction projects using the data envelopment analysis. In addition, we tried to estimate the confidence interval of those efficiencies using bootstrap DEA to give a statistical meaning. The efficiency by the CCR model is analyzed as eight project management offices are fully efficient and 22 project management offices are inefficient. On the other hand, there are 15 project management offices are fully efficient, but 15 project management offices are inefficient in the BCC model. As the result of the scale efficiencies, of the inefficient project management offices, 13 project management offices are inefficient in scale. It is possible to eliminate the inefficiency in the CCR model by improving their project performances. And, the nine project management offices showed that the inefficiency was due to pure technical efficiency, and these companies should look for various improvements such as improvement of project execution system and project management process. In order that the inefficient project management offices be efficient, it is analyzed that more efforts must be made for on-budget and on-time as a result of examining the potential improvement potentials of inefficient project management offices.

Profile of the accelerated second-degree bachelor of science in nursing program graduates and analysis of relative efficiency of programs (간호대학(학과) 학사 편입과정 졸업생의 실태와 과정의 상대적 효율성 분석)

  • Yang, Seung-Hyeon;Lee, Hyejung;Kim, Hyo Yeong;Min, Ari;Cho, Euiyoung
    • The Journal of Korean Academic Society of Nursing Education
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    • v.26 no.4
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    • pp.374-382
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    • 2020
  • Purpose: The purpose of this study was to describe the profile of graduates from accelerated second-degree Bachelor of Science in Nursing programs and to analyze the relative efficiency of nursing colleges using data envelopment analysis. Methods: An online survey link was emailed to the deans of nursing colleges, who were then asked to send the link to graduates of the respective colleges. The survey questionnaire included demographics, reasons for applying to the accelerated second-degree Bachelor of Science in Nursing program, employment after graduation, and nursing career satisfaction. Results: Sixty-two graduates of the accelerated second-degree Bachelor of Science in Nursing program responded to the survey. The mean age at admission was 24.28 (± 3.01) years. Reasons for applying to the accelerated second-degree Bachelor of Science in Nursing program were primarily increasing job security and using it as a stepping stone to another career. Nursing career job satisfaction was 4.81 (± 1.07) and more than 82% recommended this program. The data envelopment analysis found the average efficiency score to be 0.84 (± 0.20) and 4 nursing colleges to be relatively efficient. Conclusion: The accelerated second-degree Bachelor of Science in Nursing program can be considered to be an effective means to produce quality nurses with non-nursing bachelor degrees in a short time; however, outcomes of this program need to be systematically monitored to maintain quality level. Through this, competent nurses with knowledge of adjacent studies will be added to the nursing workforce.

Efficiency in Express highway operation agency in Korea (한국의 고속국도 운영기관의 효율성 분석)

  • Kim, Jong-Heun;Kang, Kyung-Woo
    • International Journal of Highway Engineering
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    • v.11 no.4
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    • pp.117-126
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    • 2009
  • Korea Highway Corporation has played a role of the construction and operation of the highway for the past for 40 years. The private sector since the 90s has made highway construction and operation. Central government and local governments were paid at subsidy in least operating income to 1.5896 trillion won for private operators from 2001 to 2008. Thus, Korea Highway Corporation will have important implications for understanding the cost structure. Korea Highway Corporation, a general analysis of the input element is used efficiently. And the operation of labor and capital estimated highly of the substitution elasticities. Korea Highway Corporation are judged to need financial separation of a strategic outsourcing(business) enabled and the construction(maintenance and management) and business institutions. In addition, currently running at highway the operation of institutions combined to configure a new institution, if that institution invigorate the hi-pass, more of the country's highway believe to be increase operational efficiency.

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Ductility Relationship of RC Bridge Columns under Seismic Loading (지진하중을 받는 철근콘크리트 교각의 연성도 상관관계)

  • 손혁수;이재훈
    • Journal of the Earthquake Engineering Society of Korea
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    • v.7 no.4
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    • pp.51-61
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    • 2003
  • This research is a park of a research program to develope a new design method for reinforced concrete bridge columns under axial load and cyclic lateral load. The objectives of this paper are to investigate the relationship between curvature ductility and displacement ductility and to propose a correlation equation for designing of reinforced concrete bridge columns under axial load and cyclic lateral load. Computer program NARCC was used for parametric study, which was proved to provide good and conservative analytical result especially for deformation capacity and ductility factor compared with test result. A total of 7,200 spirally reinforced concrete columns were selected considering the main variables such as section diameter, aspect ratio, concrete strength, yielding strength of longitudinal and confinement steel, longitudinal steel ratio, axial load ratio, and confinement steel ratio. A new equation between curvature ductility factor displacement ductility factor with the aspect ratio was proposed by investigation of 21,600 data produced from the selected column models by applying 3 different definitions of yield displacement.

A Study on the Analysis of Container Ports' Efficiency using Uncertainty DEA model (불확실성 DEA모델을 이용한 컨테이너 항만의 효율성 분석 연구)

  • Pham, Thi-Quynh-Mai;Kim, Hwa-Young;Lee, Cheong-Hwan
    • Journal of Korea Port Economic Association
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    • v.32 no.1
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    • pp.165-178
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    • 2016
  • Container port nowadays becomes one of the most vital link of the transportation chain, plays an important role in trading with other countries. Therefore, evaluating the operational efficiency of container ports to reflect their status and to reveal their position in this competitive environment is very important for port development. Although there have been lots of methods used to measure efficiency in the past, the DEA (Data Envelopment Analysis) model is still the most commonly applied approach. However, the data used in the model sometimes is complex and uncertain to handle using the basic DEA model. In this paper, we applied an uncertainty theory to create an uncertainty DEA model (UDEA), which can solve the limitation of the traditional one. This study mainly focuses on measuring efficiency of 41 container ports by applying proposed an UDEA model. The results show that among 41 container ports, only six container ports are regarded to have efficient operation through the clustering, meanwhile others have technical and scale inefficiencies. We found out that an UDEA model is better to analysis efficiency than existing DEA model.

Analysis on the Efficiency Change in Electric Vehicle Charging Stations Using Multi-Period Data Envelopment Analysis (다기간 자료포락분석을 이용한 전기차 충전소 효율성 변화 분석)

  • Son, Dong-Hoon;Gang, Yeong-Su;Kim, Hwa-Joong
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.44 no.2
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    • pp.1-14
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    • 2021
  • It is highly challenging to measure the efficiency of electric vehicle charging stations (EVCSs) because factors affecting operational characteristics of EVCSs are time-varying in practice. For the efficiency measurement, environmental factors around the EVCSs can be considered because such factors affect charging behaviors of electric vehicle drivers, resulting in variations of accessibility and attractiveness for the EVCSs. Considering dynamics of the factors, this paper examines the technical efficiency of 622 electric vehicle charging stations in Seoul using data envelopment analysis (DEA). The DEA is formulated as a multi-period output-oriented constant return to scale model. Five inputs including floating population, number of nearby EVCSs, average distance of nearby EVCSs, traffic volume and traffic congestion are considered and the charging frequency of EVCSs is used as the output. The result of efficiency measurement shows that not many EVCSs has most of charging demand at certain periods of time, while the others are facing with anemic charging demand. Tobit regression analyses show that the traffic congestion negatively affects the efficiency of EVCSs, while the traffic volume and the number of nearby EVCSs are positive factors improving the efficiency around EVCSs. We draw some notable characteristics of efficient EVCSs by comparing means of the inputs related to the groups classified by K-means clustering algorithm. This analysis presents that efficient EVCSs can be generally characterized with the high number of nearby EVCSs and low level of the traffic congestion.

Measuring Environmental Efficiency of International Airports: DEA and DDF Approach (세계 주요 공항의 환경 효율성 분석에 관한 연구)

  • Lee, Seung-Eun;Choi, Jeong-Won;Kim, Sung-Ryong;Seo, Young-Joon
    • Journal of Korea Port Economic Association
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    • v.37 no.4
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    • pp.51-70
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    • 2021
  • This study measured the environmental efficiency of 21 international airports based on sustainability reports issued by each airport for 2018. As many sectors in the industry paid attention to social and environmental responsibilities, airport operators comprise one of the leading sectors that streamlined their facilities to become increasingly sustainable and environmental. Nevertheless, studies on the environmental operations of airports are insufficient compared with studies on economic or operational efficiency. Therefore, the current study aims to determine any possible improvement in the environmental inefficiency of airports with the utilization of directional distance function (DDF) and to examine operational efficiency with the application of the data envelopment analysis (DEA). The majority of airports have operated their facilities efficiently, but not all have effectively managed pollutants generated by airports. Furthermore, many airports can still potentially reduce CO2 and water consumption. This study suggests several implementable environmental improvements to the aviation sector. Moreover, other industrial sectors may use the research as a benchmark for enhancing environmental efficiency.

Comparison of Smart City Efficiency Using DEA and KPI

  • Sang-Ho Lee;Hee-Yeon Jo;Yun-Hong Min
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.1
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    • pp.97-109
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    • 2024
  • This research aims to investigate how major cities in Korea utilize smart city-related technologies, develop key performance indicators (KPIs) to measure the smartness and efficiency of cities, and propose a methodology for assessing and suggesting smart city policy directions based on Data Envelopment Analysis (DEA). Referring to the CITYkeys Smart City Performance Measurement Framework, 10 key performance indicators (KPIs) were derived. For each KPI, city statistical data were allocated to input and output variables, and 15 cities were assigned as Decision Making Units (DMUs). The DEA methodology was employed to evaluate the operational efficiency and scale profitability of cities, providing insights into the operational efficiency of each city. Finally, the operational efficiency among DMUs was ranked to propose smart city policy directions for each city.

An Analysis on the R&D Productivity and Efficiency of Korea: Focused on Comparison with the OECD Countries (우리나라의 R&D 생산성 및 효율성 분석: OECD 국가와의 비교를 중심으로)

  • Kim, Young-H.;Kim, Sun-G.
    • Journal of Technology Innovation
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    • v.19 no.1
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    • pp.1-27
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    • 2011
  • This paper aims to measure and analyze R&D productivities and efficiencies of 17 major OECD countries including Korea over the 1984-2008 period by using the Malmquist Productivity Index and Data Envelopment Analysis, classifying R&D performance into an output and outcome aspects. It also searches the Korea's current status and characteristics in each R&D stage to enhance Total Factor Productivity (TFP) compared with other developed countries. Our major findings are the followings: (i) Korea's productivity index of R&D input vis-a-vis R&D output is very high (13.39% annual growth rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very low (0.33), i.e. Korea's technical efficiency index has risen to 0.83 at the last time series started at 0.10 point and come up to the level of major advanced countries. (ii) the Korea's productivity index of R&D output vis-a-vis R&D outcome is very low (14.02% annual reduction rate) compared with those of major advanced countries, whereas the annual average of efficiency index is very high (0.22), i.e. Korea's integrated frontier technical efficiency index has dropped to 0.057 at the last time series started at 1.00 point and coming up to the level of major advanced countries. (iii) The productivity of R&D input vis-a-vis R&D outcome is positively correlated with that of R&D output vis-a-vis R&D outcome and the growth of R&D input factors. In a nutshell, it implicates that the effort to take advantage of R&D outputs, namely establishing the diffusion and commercialization system of technical knowledge to the level of developed countries, should be strengthened over that on the growth of R&D investment and output for enhancing R&D productivity and efficiency in Korea.

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