• Title/Summary/Keyword: Data Envelopment Analysis(DEA)

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ASYMPTOTIC DISTRIBUTION OF DEA EFFICIENCY SCORES

  • S.O.
    • Journal of the Korean Statistical Society
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    • v.33 no.4
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    • pp.449-458
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    • 2004
  • Data envelopment analysis (DEA) estimators have been widely used in productivity analysis. The asymptotic distribution of DEA estimator derived by Kneip et al. (2003) is too complicated and abstract for analysts to use in practice, though it should be appreciated in its own right. This paper provides another way to express the limit distribution of the DEA estimator in a tractable way.

Fishing capacity assessment of the octopus coastal trap fishery using data envelopment analysis(DEA) (DEA 기법을 이용한 낙지통발어업의 어획능력 측정)

  • Kim, Do-Hoon;An, Heui-Chun;Lee, Kyoung-Hoon;Hwang, Jin-Wook
    • Journal of the Korean Society of Fisheries and Ocean Technology
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    • v.43 no.4
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    • pp.339-346
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    • 2007
  • Estimating fishing capacity is one of current hot issues in the international fisheries. It is because that increased fishing capacity has caused not only fish stocks to be reduced, but also additional fishing costs to be incurred without additional incomes, which resulted in decrease of economically viability of fisheries. In order to solve this problem, FAO adopted 'the International Plan of Action for the Management of Fishing Capacity' in 1999 and recommended that member countries to measure fishing capacity and to implement the domestic action plan to reduce excess fishing capacity. This study is aimed at assessing fishing capacity of the octopus coastal trap fishery(OCTF) using data envelopment analysis(DEA) which is a method recommended by FAO. The DEA results on 10 individual OCTF vessels showed that the capacity utilization(CU) was a 0.93 on average, indicating some differences in CU among vessels(0.79-1.0). In addition, results of the sensitivity analysis revealed that under the current level of catch, the gross tonnage, horse power, days fished, and traps per trip could be reduced by 35%, 33%, 16%, and 18% on average, respectively.

Comparative Port Performance Analysis of Italian Ports

  • D'agostini, Enrico;Ryoo, Dong-Keun;Jo, So-Hyun
    • Journal of Navigation and Port Research
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    • v.39 no.5
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    • pp.393-399
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    • 2015
  • Recently, the fierce competitions in the shipping industry and the global economic downturn have heavily influenced ports' operational strategies. In order for port authorities to remain competitive at an international level and to provide more accurate information to develop National policies, ports are required to analyse and improve operations' efficiency. In this paper, the efficiency of 19 Italian ports in 2013, handling different types of cargoes, is assessed through the application of Data Envelopment Analysis (DEA), with constant return to scale (CRS) and variable return to scale (VRS). The purpose of this study is to analyze the efficiency of Italian ports and evaluate whether differences in size and specialization of each port (or cargo handled) are directly correlated with ports' efficiency.

An Exploration on the Use of Data Envelopment Analysis for Product Line Selection

  • Lin, Chun-Yu;Okudan, Gul E.
    • Industrial Engineering and Management Systems
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    • v.8 no.1
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    • pp.47-53
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    • 2009
  • We define product line (or mix) selection problem as selecting a subset of potential product variants that can simultaneously minimize product proliferation and maintain market coverage. Selecting the most efficient product mix is a complex problem, which requires analyses of multiple criteria. This paper proposes a method based on Data Envelopment Analysis (DEA) for product line selection. Data Envelopment Analysis (DEA) is a linear programming based technique commonly used for measuring the relative performance of a group of decision making units with multiple inputs and outputs. Although DEA has been proved to be an effective evaluation tool in many fields, it has not been applied to solve the product line selection problem. In this study, we construct a five-step method that systematically adopts DEA to solve a product line selection problem. We then apply the proposed method to an existing line of staplers to provide quantitative evidence for managers to generate desirable decisions to maximize the company profits while also fulfilling market demands.

The Total Ranking Method from Multi-Categorized Voting Data Based on Analytic Hierarchy Process

  • Ogawa, Masaru;Ishii, Hiroaki
    • Industrial Engineering and Management Systems
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    • v.1 no.1
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    • pp.93-98
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    • 2002
  • It is important to evaluate the performance of candidates mathematically from various aspects, and reflect it on decision making. In decision making, we judge the candidates through two steps, classification of objects and comparison of objects or candidates with plural elements. In the former step, Analytic Hierarchy Process (AHP) is useful method to evaluate candidates from plural viewpoints, and in the later step, Data Envelopment Analysis (DEA) is also useful method to evaluate candidates with plural categorized data. In fact, each candidate has plural elements, nevertheless it has been more important to evaluate from various aspects in IT society. So, we propose a new procedure complementing AHP with DEA.

An Integrated DEA-AHP Model for the Acquisition of a Weapon System: Selection of a Next-Generation Fighter System in Korea

  • Moon, Jaehun;Kang, Seokjoong
    • Journal of information and communication convergence engineering
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    • v.13 no.2
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    • pp.97-104
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    • 2015
  • In this paper, we propose a data envelopment analysis (DEA) and analytic hierarchy process (AHP) integrated model to improve the selection process in the acquisition of a weapon system which is the key component to the success of the project. In particular, we applied DEA in the first stage to choose a frontier group among the candidates in the selection process of the next-generation fighter system (the 3rd FX) in Korea. Then, by using the Delphi technique, we surveyed military experts and applied AHP to determine the best choice among the candidates. The results of the study match the actual decision made by the Korean government in the weapon system acquisition. The results of the proposed DEA-AHP integrated method in the selection of the next-generation fighter systems in Korea demonstrate the usefulness of the method. In this paper, we also discuss the future implications of the proposed model.

Evaulating Economic Value Of Power Systems Using Data Envelopment Analysis(DEA) (DEA(Data Envelopment Analysis) 방법을 이용한 전력 시스템의 경제성 평가)

  • Norbekov, Nodir;Kim, D.H.;Lee, H.C.;Usmanov, Sherzod;Lee, S.S.;Lee, S.K.;Yoon, Y.T.
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.854-855
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    • 2007
  • Analyzing the productivity has been widely applied in economic analysis and of the key concept of utility regulation. In this paper we use benchmarking technique known as Data Envelopment Analysis (DEA) model to analyze the productivity. And we show that from the result it is possible to evaluate the performance of inefficient firms by reducing their input levels.

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Analyzing the National Medical Service Efficiency of OECD Countries Using DEA and Malmquist Productivity Index (DEA와 맘퀴스트 생산성 지수를 활용한 OECD 국가간 의료서비스 효율성 분석)

  • Kim, Jihye;Kim, Haesoo;Leem, Bitna;Yoon, Janghyeok
    • Journal of the Korean Operations Research and Management Science Society
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    • v.37 no.4
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    • pp.125-138
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    • 2012
  • Health care that is considered to be one of the major factors for the quality of life is nowadays receiving a great deal of attention, and thus there is a growing need in Korea to identify the efficiency of national medical service and enhance the competitiveness. Although there exist studies on the medical service efficiency about general hospitals and local hospitals, they mostly deal with the efficiency problems from a domestic and regional perspective. In response, this paper analyzes the competitive efficiency of national medical service with respect to 16 OECD countries, by exploiting Data Envelopment Analysis (DEA) and Malmquist Productivity Index (MPI). Building on the DEA and MPI analysis results, this paper identifies the competitive position of Korean national medical service and suggests implications for the medical service improvement.

Performance Evaluation of Private R&D Projects using BSC/DEA (BSC/DEA를 활용한 기업 연구개발 프로젝트 성과평가)

  • Jeon, IkJin;Lee, Hakyeon
    • Korean Management Science Review
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    • v.34 no.2
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    • pp.67-83
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    • 2017
  • This paper proposes a R&D project performance measurement model for private firms combining balanced scorecard (BSC) and data envelopment analysis (DEA). The efficiency of R&D projects is measured in terms of each of the three perspectives of BSC by using DEA : the internal process perspective (DEA-P), the customer perspective (DEA-C), and the financial perspective (DEA-F). The performance indicators of the three perspectives of BSC are considered as outputs of the corresponding DEA models. To provide strategic implications for R&D planning, we also propose the R&D project performance matrices composed of two different types of efficiency dimensions. The proposed model is expected to be fruitfully utilized for R&D performance measurement of private firms.

An Analysis on the Management Efficiency of the Fish-Paste Processing Industry (어묵 가공업의 경영효율성 분석)

  • Yang, Hyun-Joo;Song, Jung-Hun;Kwon, Hyeok-Seung
    • The Journal of Fisheries Business Administration
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    • v.52 no.3
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    • pp.15-25
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    • 2021
  • Base on the survey and financial statement on fish-paste processing company, this study aimed to estimate management efficiencies of fish-paste processing management using a data envelopment-analysis (DEA), In-depth interview and to find out their determinants. Model results show that the estimated mean management efficiencies obtained for the VRS and CRS DEA are 83.7% and 89.1%. In-depth interview results also show that efficiencies caused by scale of technical matter was greater than efficiencies caused by the scale of the company. Thus it implies that technical development is essential for achieving high-efficiency of fish-paste processing company more than expanding the size of company.