• Title/Summary/Keyword: DEA method

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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".

Performance Evaluation of Military Corps with Categorical Environmental Variables (범주형 환경변수를 고려한 부대성과평가 방법에 관한 연구 - DEA와 CCCA의 결합을 중심으로 -)

  • Lee, Kyung-Won;Park, Myung-Seop;Im, Jae-Poong
    • Journal of the military operations research society of Korea
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    • v.32 no.1
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    • pp.51-72
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    • 2006
  • There are many occasions that the performance of a corps is influenced not only by its own efforts but by the commander of the next higher unit in a vertical organizational structure. When the direction of the commander in the next higher organization is different from that of the actual evaluation agency, the unit under evaluation may get rated lower than what it should deserve. This study suggests an alternative method to evaluate the performance of military units in the situation that there exist critical environmental factors which affect the performance. This method employes DEA, a non parametric method, and Constrained Canonical Correlation Analysis(CCCA), a parametric method which is used to estimate a efficient frontier with multiple dependent variables and constraints. This article also exploits a set of categorical environmental variables in the CCCA to improve the fairness of performance evaluation. It is shown that the introduction of the categorical variables helps evaluating the true performance of individual units such as battalions subordinated to different next higher commanders.

A Study on the Efficiency of Children's Shelter in Korea using DEA Analysis Method

  • Jeong, Seong-Bae;Joo, Mi-yeon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.6
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    • pp.207-217
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    • 2020
  • The purpose of this study is to analyze the efficiency of Korean child welfare facilities using the DEA analysis method and to present policies. The input variables for the analysis of this data were the number of employees, the number of facilities, and the number of gardens, and the output variables were the current sources. The results of the study are as follows. As a result of CCR analysis, inefficient facilities were found to be temporary protection facilities and comprehensive facilities. As a result of BCC analysis, inefficient facilities were identified as temporary protection facilities. As a result of SE analysis, inefficient facilities were found to be temporary protection facilities. The suggestion is as follows. First, adjustment of the capacity of temporary protection facilities is required. Second, it is necessary to strengthen the professionalism of workers in child welfare facilities. Third, strengthen the expertise of the child welfare facility manager.

Design of an Auto-Tuning IMC-PID Controller for a Heater System Using uDEAS (uDEAS를 이용한 히터 시스템의 IMC-PID 자동 동조 제어기 설계)

  • Kim, Man-Seok;Kim, Jo-Hwan;Choi, Min-Koo;Park, Jong-Oh;Kim, Jong-Wook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.4
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    • pp.530-535
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    • 2011
  • This paper deals with the precise temperature control of the heater used at a weaving thread or a drawn process. For precise temperature control, we suggest a design method that is auto-tuning IMC-PID controller using an optimization method uDEAS. For this method, we model the roll heater from the measurement data and we automatically tune the low pass filter value of IMC-PID controller that satisfies stability and conrol performance. Finally, we implement the designed controller using DSP kit.

Analyzing the Dynamic Productive Efficiency of Large Purse Seine Fishery in Korea (대형선망어업의 동태적 생산효율성 분석)

  • Seo, Ju-Nam;Kim, Do-Hoon
    • The Journal of Fisheries Business Administration
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    • v.43 no.1
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    • pp.11-18
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    • 2012
  • This study is aimed to estimate a dynamic productive efficiency by vessel of large purse seine fishery and analyze changes of them over times using a window/DEA method. In addition, based on estimation results, it aims to suggest production management implications for an viable development of fisheries. Results indicated that an annual efficiency change of large purse seine fishery was estimated at 0.77 for 2007~2008, 0.83 for 2008~2009, and 0.77 for 2009~2010, showing a decreasing trend. As returns on sales of vessels of large purse seine fishery showed a decreasing trend, the degree of efficiency of a vessel might be closely related to the fishing profitability. The Window/DEA method was used in this study to estimate the efficiencies of vessels for large purse seine fishery. This method is well known and widely used to analyze the dynamic efficiency and it can provide useful implications for management of input factors. As a limitation of this study, it was not able to provide detailed management ways to reduce inefficiencies. However, they can be investigated with data on managerial factor, human factor, distribution factors as a future study.

An Investigation of Factors Affecting Management Efficiency in Korean General Hospitals Using DEA Model (DEA모형을 이용한 종합병원의 효율성 측정과 영향요인)

  • Ahn, In-Whan;Yang, Dong-Hyun
    • Korea Journal of Hospital Management
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    • v.10 no.1
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    • pp.71-92
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    • 2005
  • The purpose of this study is to analyze the efficiency in management of general hospitals and investigate the major factors on efficiency. Specifically, the management of each general hospital is evaluated by using Data Envelopment Analysis(DEA) technique which is a nonparametric statistical method for measurement of efficiency. Then, the influencing factors are investigated through analyses of Decision-Tree Model and Tobit Regression. The target hospitals were general hospitals in which bed sizes are between 200 and 500 among a total of 276 general hospitals. The main data of financial indicators were collected from 48 hospitals, and it was analyzed by using two statistical models. For Model I, three input and two output variables were used for efficiency evaluation. In particular, three input variables were the number of medical doctors, the number of paramedical personnel, and the bed size. And, two output variables were the numbers of inpatients and outpatients per year, adjusted by bed-size. The results of DEA analysis showed that only seven out of 48 hospitals(15%) turned out to be efficient. The decision-tree analysis also showed that there were six significant influencing factors for Model I. Six factors for Model I were Bed Occupancy Rate, Cost per Adjusted Inpatient, New Visit Ratio of Outpatients, Retired Ratio, Net Profit to Gross Revenues, Net Profit to Total Assets. In addition, the management efficiency of hospital is proved to increase as profit and patient-induced indicators increase and cost-related indicators decrease, by the Tobit regression model of independent variables derived from the decision-tree analysis. This study may be contributable to the development of analytic methodology regarding the efficiency of hospital management in that it suggests the synthetic measures by utilizing DEA model instead of suggesting simple ratio-analyzing results.

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Sterilization Effect of the Ion-exchanger Filter Using by Radiation Graft Polymerization (방사선 그라프트 중합법을 이용한 이온교환 필터의 살균효과)

  • Kim, Ye-Jin;Hong, Yong-Cheol;Kim, Min
    • Korean Chemical Engineering Research
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    • v.52 no.3
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    • pp.378-381
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    • 2014
  • We studied the pasteurization effect of the microorganism involved in the water, using ion-exchanging filter made of the Radiation Induced Grafted Polymerization. This ion-exchanging filter is made by the graft polymerization of GMA, after irradiation of electron beam to the non-woven filter. Then, we made the ion-exchanging filter (EtA, DEA, SS) applying ion-exchanging base to the GMA filter. As a result, the density of the ion-exchanging base is shown as 2.38 mol/kg in case of EtA, 1.79 mol/kg in case of DEA and 0.75 mol/kg in case of SS. Through this filter made by this method, we measured the pasteurization power of E. coli. We found very high elimination rate such as log 4.65 in case of SS-dial filter, which is higher as 3.00 times in comparison with EtA, and 1.10 times in comparison with DEA. This data show the result is very excellent comparing with 3,000 CFU/ml. of city water treatment basis.

The Framework for the Strategy of Research & Business Development (기술이전 및 사업화 활성화를 위한 전략 도출 프레임워크 - R&BD 효율성 평가를 기반으로 -)

  • Kim, Joon-Young;Sung, Si-Il;Park, Jaehun
    • Journal of Korean Society for Quality Management
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    • v.44 no.4
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    • pp.785-798
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    • 2016
  • Purpose: This paper developed the framework for extracting strategies of research and business development (R&BD) based on the data envelopment analysis(DEA). Methods: DEA has been widely utilized in evaluating R&D efficiency. Even though, technology transfer and commercialization has been regarded as the important factors for practical R&D efficiency evaluation, most research have evaluated R&D efficiency by just using the DEA outputs such as the number of patents and papers. The technology transfer, commercialization and relations among costs and generated technology and commercialization are needed to be considered for more practical R&D efficiency evaluation. Thus, this research addressed a method on how to incorporate the commercialization factors into the R&DB efficiency evaluation, and improve the efficiency strategically in terms of R&D and B&D. To achieve this, this research utilized a two-stage network DEA model for R&BD efficiency evaluation. Results: The proposed framework was applied to the 15 public research institutes and the 34 universities for validation. R&BD efficiency for the 15 public research institutes and the 34 universities was evaluated, and the differentiated improvement strategies for the inefficient DMUs to improve their efficient were proposed. Conclusion: The R&BD efficiency would be effectively analyzed based on two-stage network DEA. It would be utilized for the effective strategy planning for cultivating R&BD.

Ripple Effect Analysis of Regional Industry Technology Development Using DEA (자료포락분석 기법을 이용한 지역산업 기술개발 사업의 파급효과 분석)

  • Lee, Sang-Hyun;Kim, Sang-Young;Lee, Sang-Joon
    • Journal of Digital Convergence
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    • v.9 no.6
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    • pp.1-11
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    • 2011
  • It is time to review the direction of R&D investment which is the source of change in knowledge information ages. The DEA(Data Envelopment Analysis) is a efficient method by using the ratio of input and output elements. In this paper, we analyzed industry relationship and efficiency by DEA in order to analyze ripple effect of the regional industry technology development project. According to these results, we found the primary affected factor in performance of this project was human resource, and the turnover of participated company was not on the rise yet. On types of the project, we could find the efficiency quotient of critical technique development project was higher than of common technique development project because project period or budget scale infected to project performance. We expect the enhancement of technique developer, tenn and budget, and it is necessary the project results should lead performance such as sales force and employee growth.

Evaluation of Technical Efficiency with Fuzzy Data in the Korean RCC/RSC (퍼지환경하의 RCC/RSC별 운영효율성 평가)

  • Keum, Jong-Soo;Jang, Woon-Jae
    • Proceedings of KOSOMES biannual meeting
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    • 2006.11a
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    • pp.253-258
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    • 2006
  • This paper aims to measure and evaluates the technical efficiency with two inputs and four outputs with the use of fuzzy DEA(Data Envelopment Analysis) in Korean RCC(Rescue Co-ordination Center)/RSC(Rescue Sub-Center). Especially, this paper included not only the marine accident data which occurred for the analysis in particular but also the possibility data of a potential marine accident by an Environmental Stress value and analyzed the technical efficiency. And in this paper, asymmetrical triangular fuzzy number is presented about inputs/ outputs data and a procedure is suggest for it solution. The basic idea is to transform the fuzzy CCR model into a crisp linear programming problem by applying an alternative ${\alpha}-cut$ approach. Also this paper propose a ranking method for fuzzy RCC/RSC using presented fuzzy DEA approach. The result, when ${\alpha}-cut$ is 0.5, efficiency priority should be in order to YS, BS, MP, TS, JJ, PH, US, IC, SC, DR, GS, TA, WD RCC/RSC. Finally, Inefficiency TA, WD RCC/RSC have to benchmarking with reference sets.

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