• Title, Summary, Keyword: Data Envelopment Analysis

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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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    • v.13 no.2
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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.

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 Performance Evaluation of Public Municipal Hospitals: Data Envelopment Analysis and Panel Analysis (지방의료원의 성과분석: Data Envelopment Analysis와 패널분석)

  • Chung, Eun-Young;Seo, Young-Jun;Lee, Hae-Jong
    • Health Policy and Management
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    • v.25 no.4
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    • pp.295-306
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    • 2015
  • This study aims to examine the performance of public municipal hospitals through the analysis of data envelopment analysis, efficiency, profitability, and publicness by using panel data during period from 2006 to 2010. The main findings of the study are as follows. First, as a result of efficiency analysis during the period from 2006 to 2010, it was revealed that the number of staff by each job category, labor cost ratio, the number of operating beds need to be decreased. Second, the performance data represented by the indicators of efficiency, profitability and publicness were complementary and showed a tendency of being increased or decreased in same direction. Third, from the result of panel analysis, the efficiency was mainly influenced by the structural factors, while the profitability was influenced by managerial factors, and the publicness by medical environment. In conclusion, in order to enhance the performance of public municipal hospitals in Korea, it is important to harmonize the effort for efficiency, financial and policy support by central and local government, and the continuous participation of community residents.

Performance Management for Nursing Organization Using Data Envelopment Analysis: Literature Reviews and Usage Strategies (자료포락분석을 이용한 간호조직 성과관리: 문헌 분석과 활용 전략)

  • Lim, Ji Young;Ko, Gug Jin;Lee, Hyun Hee;Park, Yeon Hong;Yang, In Ja;Choi, Yun Jeong
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.22 no.1
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    • pp.59-68
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    • 2015
  • Purpose: The purpose of this study was to analyze nursing research using data envelopment analysis and suggest directions for future research. Methods: We established -criteria literature search. e reviewed 45 from RISS, KISS, National assembly library and NDSL DB. Data were collected on December 17, 2013. developed analytic framework of literature reviews using Yun's study. This framework had 8 items related to approach of data envelopment analysis. Results: literature established -criteria. Average numbers of input and output variables were 2.4 and 4.2, respectively. All selected research conducted efficiency analysis, analysis, and inefficiency analysis. However only 3 research. Conclusion: he results of studysuggest that data envelopment are needed to enhance efficiencies of nursing organization as follows individual nurse's profiling to develop customized performance management plans; patient centered nursing interventions; and financial performance financial reports.

Analysis on Efficiency and Productivity Changes of Regional Public Hospitals in Korea with Data Envelopment Analysis/Window and Global Malmquist Indices Models (Data Envelopment Analysis/Window 모형과 Global Malmquist 생산성지수 모형을 이용한 지방의료원의 효율성과 생산성 변화 분석)

  • Yang, Dong Hyun
    • Health Policy and Management
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    • v.23 no.1
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    • pp.78-89
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    • 2013
  • This study empirically analyze efficiency and productivity changes of public hospitals of Korea using data envelopment analysis/Window model and global Malmquist indices model. We use the ten-year data from 2001 to 2010 of 30 regional public hospitals listed database from the Association of Korean Regional Public Hospitals. The main focuses are to reveal whether the technical inefficiency are improved as time goes by, and efficiency and productivity are affected by environmental factors. The results can be summarized as follows. First, the efficiencies of public hospitals rise in trend as time passes. Second, regional public hospitals show the different average efficiencies according to their regional type, hospital type, operational type, medicaid type, and demand and supply conditions by Mann-Whitney U-tests. Third, technical efficiency changes mainly contribute to 4.4% annual average growth rate of productivity of regional public hospitals during that period. Our findings have some policy implications. It is confirmed that there exist some environmental inefficiencies, and those inefficiencies can not be overcome through just improving the inner management system. Thus, policy and institutional changes are necessary for regional public hospitals to improve efficiency and productivity overall.

Data Envelopment Analysis with Imprecise Data Based on Robust Optimization (부정확한 데이터를 가지는 자료포락분석을 위한 로버스트 최적화 모형의 적용)

  • Lim, Sungmook
    • Journal of the Society of Korea Industrial and Systems Engineering
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    • v.38 no.4
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    • pp.117-131
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    • 2015
  • Conventional data envelopment analysis (DEA) models require that inputs and outputs are given as crisp values. Very often, however, some of inputs and outputs are given as imprecise data where they are only known to lie within bounded intervals. While a typical approach to addressing this situation for optimization models such as DEA is to conduct sensitivity analysis, it provides only a limited ex-post measure against the data imprecision. Robust optimization provides a more effective ex-ante measure where the data imprecision is directly incorporated into the model. This study aims to apply robust optimization approach to DEA models with imprecise data. Based upon a recently developed robust optimization framework which allows a flexible adjustment of the level of conservatism, we propose two robust optimization DEA model formulations with imprecise data; multiplier and envelopment models. We demonstrate that the two models consider different risks regarding imprecise efficiency scores, and that the existing DEA models with imprecise data are special cases of the proposed models. We show that the robust optimization for the multiplier DEA model considers the risk that estimated efficiency scores exceed true values, while the one for the envelopment DEA model deals with the risk that estimated efficiency scores fall short of true values. We also show that efficiency scores stratified in terms of probabilistic bounds of constraint violations can be obtained from the proposed models. We finally illustrate the proposed approach using a sample data set and show how the results can be used for ranking DMUs.

Evaluation Efficiency of University libraries though Data Envelopment Analysis (DEA를 이용한 대학도서관의 효율성 평가 -프랑스의 대학도서관을 대상으로-)

  • Kim, Sun-Ae
    • Journal of the Korean Society for Library and Information Science
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    • v.38 no.2
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    • pp.137-160
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    • 2004
  • In order to appreciate the varied activities of university libraries, this study assesses their efficiencies in the process of production and utilization of their services for two consecutive years, 1999 and 2000. Using a Data Envelopment Analysis with exogenously fixed factors, this study analyses separately efficiencies identified. The results show that efficiencies of libraries appear differently according to the year of evaluation, the dimension of evaluation as well as the difference of statute. The specialized libraries as CADIST are definitely higher in terms of use of services. In addition, inefficiency is mainly due to deficits of production of outputs rather than excesses of utilisation of inputs. For example, time devoted to user's training constitutes the most significant potentiality of increase in the production of services.

The Optimization of Bank Branches Efficiency by Means of Response Surface Method and Data Envelopment Analysis: A Case of Iran

  • Shadkam, Elham;Bijari, Mehdi
    • The Journal of Asian Finance, Economics, and Business
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    • v.2 no.2
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    • pp.13-18
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    • 2015
  • In this paper the DRC model is presented for solving multi objective problem. The proposed model is a combination of data envelopment analysis, Cuckoo algorithm and the response surface method. Due to reasons like costs, time and irreversible damages, it is not possible to analyze each and every one of the proposed models in practice, so the simulation is used. Since the number of experiments for simulation process is high then the optimization has gone to practice and directs the simulation process. The response surface method is used as one of the approaches of simulation optimization. Furthermore, data envelopment analysis is used to consider several response surfaces as efficiency response surface. Then this efficiency response surface is solved by Cuckoo algorithms. The main advantage of DRC model is to make one efficiency response surface function instate of multi surface function for every output and also using the advantages of Cuckoo algorithms. In order to demonstrate the effectiveness of the proposed approach, the branches of Refah bank in Mashhad is analyzed and the results are presented.

Productive Efficiency of the Coastal Fishing Business : A Comparison of Data Envelopment Analysis and Stochastic Frontier Analysis (연안어업경영의 생산효율성 분석 : DEA와 SFA 기법 비교를 중심으로)

  • Choi, Jong-Yeol;Kim, Ki-Seog;Kim, Do-Hoon
    • Journal of the Korean Operations Research and Management Science Society
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    • v.35 no.3
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    • pp.59-68
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    • 2010
  • Improving productive efficiency is important for strengthening a competitiveness of coastal fisheries. This paper examines the productive efficiency of a sample of coastal gillnet fishing business units by estimating a stochastic frontier analysis (SFA) and a data envelopment analysis (DEA) approaches and compares those estimates obtained from two approaches. The estimated mean productive efficiency by SFA is 77.6% and the mean productive efficiencies obtained for the VRS and CRS DEA are 75.9% and 45.7%, respectively. The joint use of SFA and DEA for estimating efficiency is also discussed.