• Title/Summary/Keyword: 자료포락

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Analyzing the Efficiency of Korean Rail Transit Properties using Data Envelopment Analysis (자료포락분석기법을 이용한 도시철도 운영기관의 효율성 분석)

  • 김민정;김성수
    • Journal of Korean Society of Transportation
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    • v.21 no.4
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    • pp.113-132
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    • 2003
  • Using nonradial data envelopment analysis(DEA) under assumptions of strong disposability and variable returns scale, this paper annually estimates productive. technical and allocative efficiencies of three publicly-owned rail transit properties which are different in terms of organizational type: Seoul Subway Corporation(SSC, local public corporation), the Seoul Metropolitan Electrified Railways sector (SMESRS) of Korea National Railroad(the national railway operator controlled by the Ministry of Construction and Transportation(MOCT)), and Busan Urban Transit Authority (BUTA, the national authority controlled by MOCT). Using the estimation results of Tobit regression analysis. the paper next computes their true productive, true technical and true allocative efficiencies, which reflect only the impacts of internal factors such as production activity by removing the impacts of external factors such as an organizational type and a track utilization rate. And the paper also computes an organizational efficiency and annually gross efficiencies for each property. The paper then conceptualized that the property produces a single output(car-kilometers) using four inputs(labor, electricity, car & maintenance and track) and uses unbalanced panel data consisted of annual observations on SSC, SMESRS and BUTA. The results obtained from DEA show that, on an average, SSC is the most efficient property on the productive and allocative sides, while SMESRS is the most technically-efficient one. On the other hand. BUTA is the most efficient one on the truly-productive and allocative sides, while SMESRS on the truly-technical side. Another important result is that the differences in true efficiency estimates among the three properties are considerably smaller than those in efficiency estimates. Besides. the most cost-efficient organizational type appears to be a local public corporation represented by SSC, which is also the most grossly-efficient property. These results suggest that a measure to sort out the impacts of external factors on the efficiency of rail transit properties is required to assess fairly it, and that a measure to restructure (establish) an existing(a new) rail transit property into a local public corporation(or authority) is required to improve its cost efficiency.

우리나라 항만배후물류기업의 경영 효율성 분석에 관한 연구

  • Park, Sang-Jun;Ryu, Dong-Geun
    • 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.

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Implementing Data Envelopment Analysis Using SAS$^{\circledR}$ (SAS$^{\circledR}$를 활용한 자료포락분석의 실행)

  • 김성호;최태성
    • Korean Management Science Review
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    • v.17 no.2
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    • pp.161-174
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    • 2000
  • This paper provides an implementation of data envelopment analysis (DEA) developed by Charnes et al. using SAS. Since a flexible interactive matrix language SAS/IML included in the SAS has a syntax similar with the matrix algebra, one can easily create and understand SAS/IML code for DEA. In this paper, a simple SAS/IML code for DEA and its illustrative implementation with an input-output data set of 25 American private university research libraries are provided.

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Nonstationary Response Analysis of Offshore Guyed Tower for Strong Earthquakes (비정상과정의 강한 지진에 대한 해양 가이드 타워의 동력학적 응답해석)

  • 류정선
    • Computational Structural Engineering
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    • v.5 no.3
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    • pp.127-137
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    • 1992
  • A method for nonstationary response analysis of an offshore guyed tower subjected to earthquake loading is presented. The nonstationarity of the earthquake excitation is modeled by imposing a time varying envelope function onto a stationary random model. By taking the envelope function and the auto-correlation function of ground acceleration in terms of complex exponential functions of time, an analytical procedure is developed for computing time varying variances of the tower response. Example analysis indicates that the maximum responses estimated by considering nonstationary effect properly are significantly less than those obtained by the conventional frequency domain analysis method based upon the stationary assumption.

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Determining Priority of the Action Plan of Facilitation in Air Transport (Using CK model of Data Envelopment Analysis) (항공부문 출입국 절차 간소화 추진과제의 우선순위 결정 (자료포락분석기법 (DEA)의 CK 모형 적용))

  • Kim, Min-Jung;Hong, Seock-Jin;Kim, Yeon-Myung
    • Journal of Korean Society of Transportation
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    • v.26 no.3
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    • pp.7-16
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    • 2008
  • The immigration procedure at airports is vital to making passenger and cargo transport faster. The rapid procedure of immigration could be an important determining factor when passengers select an air transport company, one that should have high satisfactory in terms of their service level and efficiency. Therefore, the advanced airport makes it easy for customers and their cargo to proceed. The coordination between authorities related to the Korean international airport is not satisfactory for customers. This paper analyzes the factors necessary to enhance the airport immigration procedure with the movement of aircrafts, passengers, cargo, and post, using the CK(Cook and Kress) model of DEA(Data Envelopment Analysis). From this study, the author found that research and development will be needed to improve the immigration procedure, especially on facilities and their operating systems. There are needed, also, performance indicators and a continuous monitoring system.

Analysis on Efficiency of Government's R&D investment in Renewable Energy (신재생에너지 분야 정부 R&D 투자 효율성 분석)

  • Baek, Chulwoo
    • Journal of Energy Engineering
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    • v.23 no.3
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    • pp.42-50
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    • 2014
  • Korean government has been investing more than 400 billion KRW in R&D on renewable energy. This paper aims to measure the R&D efficiency of national R&D program in the field of renewable energy, and to identify the sources of inefficiency. 4,213 R&D projects supported by Korean government during 2009-2011 are analyzed by using Data Envelopment Analysis and statistical tests. Results implies as follows. First, hydrogen, bio, fuel cell, photovoltaic have higher R&D efficiency than other renewable energies. Second, universities conducted national R&D program more efficiently than firms did, and small and medium sized enterprises are more efficient than large sized enterprises. Third, R&D inefficiency is mainly caused by the lacks of patent performance rather than excessive R&D investment or academic paper performance.

Productivity Changes by Public Transport Reforms in the Seoul's Urban Bus Industry (서울의 대중교통체계 개편에 따른 시내버스업체의 생산성 변화)

  • Oh, Mi-Young;Kim, Sung-Soo
    • Journal of Korean Society of Transportation
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    • v.23 no.7 s.85
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    • pp.53-61
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    • 2005
  • The Seoul City Government recently reformed the entire public transport system in an effort to prevent further deterioration in urban bus system's performance and service level. To analyze into impact on the productivity of Seoul's urban bus firms, this paper measures firm-level technical efficiency and productivity change with data envelopment analysis and Malmquist index approach. The paper then conceptualizes that these forms produce three kinds of output (bus-kilometers, passengers, or bus-kilometers and passengers) using five inputs (driver, maintenance, management, vehicle and fuel). The findings show that most (over one half) firms experienced a decline (an improvement) in productivity in the case of specifying only bus-kilometers (passengers) as output. As a result, it is discovered that an average firm had no change in productivity in the case of combining bus-kilometers and passengers as output. This is because the efficiency of an average firm declined due to increase in employees per bus and to an decrease in kilometers per bus. while its effectiveness improved due to an increase in passengers per bus which was caused by an increase in routes and a change in fare structure.

An Efficiency Evaluation of Public Health Center by Data Envelopment Analysis -Focused on Public Health Centers of Gyeongnam Province- (자료포락분석을 이용한 보건사업의 효율성 평가 -경상남도 보건소를 중심으로-)

  • Yang, Jong-Hyun;Chang, Dong-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.6
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    • pp.2129-2137
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    • 2010
  • In this research, we analyze the efficiency of 20 public health centers of Gyeongnam Province, so the reduction and weakness of input and output factor were found. We used the CCR, BCC model of Data Envelopment Analysis as a method of evaluation, made a choice human resource as the input variable, made a selection the performance of health care center, ward as the output variable. The results show that 12(60%) public health centers in 20 were productive with respective to overall Technical Efficiency(average score 0.868), 14(70%) with respective to overall Pure Technical Efficiency(average score 0.924) and 12(60%) with respective to overall Scale Efficiency(average score 0.933). It is expected that this research can provide a good data for effective management of public health centers.

An Analysis of the Efficiency of the Global Logistics Industry with Data Envelopment Analysis and a Tobit Model (세계 물류산업의 효율성에 관한 연구)

  • Park, Woo-Ram;Kwon, Oh-Kyoung;Tongzon, Jose
    • Journal of Korean Society of Transportation
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    • v.26 no.5
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    • pp.41-49
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    • 2008
  • According to the demand for services. a single point contract between a user and provider spreads over the industry, and the relationship between them is a main issue. The user wants to make a deal with the contributor which can provide the effective services to the user. This study is to estimate the efficiency of global logistics industry with Data Envelopment Analysis, by nations from 2001 to 2005. Furthermore, it tries to estimate the inefficiency affected by macro factors, and proves the association between them using Tobit model. Global logistics industry has made growth both externally and internally more than doubled for the last 5years. Technical inefficiency of global logistics industry is more influenced by pure technical inefficiency than inefficiency of scale. Therefore technical efficiency can be increased by decreasing pure technical inefficiency. Through this study, it found that the logistics industry got influenced to its efficiency by high price of oil, and courier and transportation service market is formed stably. Furthermore, it advocates policy planners to consider effectiveness and clearness of policy which influence to inefficiency of logistics industry. Also, it found that labor and financial support can give critical effect.

A Study on Competitive Analysis Using Multidimensional Efficiency Analysis (다차원효율성분석을 활용한 경쟁분석에 관한 연구)

  • Yang, Dong-Heon;You, Yen-Yoo
    • The Journal of Society for e-Business Studies
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    • v.17 no.4
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    • pp.117-140
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    • 2012
  • This study focuses on the use of competitive analysis to identify the effective benchmarking target through consulting techniques to derive improvements. After developed using DEA(Date Envelopment Analysis) the relative efficiency analysis tool for competitor analysis to apply in consulting on-site or within the organization, this study compared the new techniques and the existing techniques. This study was carried out as follows. First, through a review of the literature, consulting competitive analysis techniques and methodologies relative efficiency analysis technique DEA for research scholars examined. Second, DEA-based competitive analysis, multidimensional efficiency analysis is presented. Third, The case study was conducted to determine the suitability and practicality of this analysis method for public company "A".