• Journal of Digital Convergence
• /
• v.9 no.6
• /
• pp.1-11
• /
• 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.

• Journal of Digital Convergence
• /
• v.10 no.4
• /
• pp.55-62
• /
• 2012

This paper analyze the DEA(Data Envelopment Analysis) efficiency of government budget to HRD program(ITRC) and correlation and regression between its inputs and outputs in the field of information technology. First, empirical results show that the relationship between the supporting period of government budget and scientific research & HRD outputs is respectively irrelevant. Second, another finding is that the relationship between government budget and HRD output is positive. Finally, DEA efficiency analysis implicates that SW/digital contents, digital TV, information security, intelligence robot, next generation PC, next generation mobile telecommunication, home network, mathematics, IT SoC are more efficient than any other technology fields.

• Journal of the Korean Society for Railway
• /
• v.13 no.3
• /
• pp.349-355
• /
• 2010

The purpose of this paper is to provide basic information on how to make better policies that improves efficiencies and to derive policy directions using DEA (data envelopment analysis) model. Through this paper, we can identify whether or not the railroad service has an excellent performance, if there are any structural problems, in which sector it is experiencing a degree of inefficiency, and, therefore, how to set up a realistic target to improve efficiency of railroad transportation. According to the result, we need to introduce a better resource efficient economic strategy to reduce the rail line extension and the number of passenger cars for better efficiency from a public interest perspective, while to widen headways and/or reduce the rail line extension from an economic point of view.

• Journal of Korea Water Resources Association
• /
• v.53 no.spc1
• /
• pp.731-742
• /
• 2020

The purpose of this study was to examine the efficiency of local waters in Chungnam. The Statistics of Waterworks data released by the Ministry of Environment were analyzed by DEA (Data Envelopment Analysis). DEA is a relatively data oriented approach to evaluate the performance of a set of peer entities called decision making units which convert multiple inputs into multiple outputs. It was possible to obtain significant results on the regional efficiency of local waters in 15 regional, the causes and degree of their inefficiency and what areas one could refer to. It was evaluated that the efficiency of Gun regional was insufficient, and it was found that an improvement policy was needed to improve productivity. This study provided implications for entire local waters operation in Chungnam.

• Korean Management Science Review
• /
• v.30 no.2
• /
• pp.97-106
• /
• 2013

Of the new and renewable energies currently being pursued domestically, wind energy, together with solar photovoltaic energy, is a new core growth driver industry of Korea. As of May 2012, 33 wind farms at a capacity of 347.8MW are in operation domestically. The purpose of this study was to compare and analyze how efficiently each operational wind farm is utilizing its power generation capacity and the weather resource of wind. For this purpose, the study proceeded in 3 phases. In phase 1, ANOVA analysis was performed for each wind farm, thereby categorizing farms according to capacity, region, generator manufacturer, and quantity of weather resources available and comparing and analyzing the differences among their operating efficiency. In phase 2, for comparative analysis of the operating efficiency of each farm, Data Envelopment Analysis (DEA) was used to calculate the efficiency index of individual farms. In the final phase, phase 3, regression analysis was used to analyze the effects of weather resources and the operating efficiency of the wind farm on the power generation per unit equipment. Results shows that for wind power generation, only a few farms had relatively high levels of operating efficiency, with most having low efficiency. Regression analysis showed that for wind farms, a 1 hour increase in wind speeds of at least 3m/s resulted in an average increase of 0.0000045MWh in power generation per 1MW generator equipment capacity, and a unit increase in the efficiency scale was found to result in approximately 0.20MWh power generation improvement per unit equipment.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.41 no.3
• /
• pp.61-71
• /
• 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.

• International Commerce and Information Review
• /
• v.13 no.1
• /
• pp.123-144
• /
• 2011

This study used a non-parametric linear program, Data Envelopment Analysis(DEA) to compare the efficiency of Korean and global container shipping companies from 2005 to 2009. The sample shipping companies were 7 Korean container shipping companies and 11 global container shipping companies. The main objective of our research is to compare their efficiency, as well as the changes in efficiency periodically according to the types of the container shipping companies. According to the periodical analysis, both Korean and Global container shipping companies showed a steady decrease in efficiency. The study showed that Korean container shipping companies have greater efficiency than their global rivals.

• Journal of Korean Academy of Nursing Administration
• /
• v.17 no.1
• /
• pp.54-65
• /
• 2011

Purpose: The aim of this study was to evaluate the efficiency of community visiting health service units using DEA and to compare the results with those of traditional evaluation methods. Methods: Data were collected using 2008 annual reports of 10 districts in one city. Input variables were number of staff and operational budget per year and output variables were number of managed household per nurse, rate of controlled hypertension, and diabetes mellitus. EMS Window version 3.1 was used to measure efficiency score and bootstrapping Chi-square test was applied to identify differences between efficient and non-efficient unit by organizational factors. Results: The average efficiency score of 10 community visiting health services was about 66%. Only two of the units operated program efficiently. The career of the staff was one among other factors associated with efficiency. The evaluation results from the traditional method and DEA were totally different. Conclusion: These results indicate that, evaluation methods have very important and significant effects on the evaluation results of community visiting health service units. The DEA method is recommend as an alterative method for evaluating community visiting health service.

• Journal of Korea Port Economic Association
• /
• v.26 no.2
• /
• pp.19-35
• /
• 2010

The purpose of this paper is to develop a benchmark of performance standards for Global Logistics Provider in the merging logistics market. The Data Envelopment Analysis (DEA) can be employed to compare and analyse the efficiencies of Global Logistics Provider(3PL, 4PL). That is because Global Logistics Providers are able to reach the highest level of efficiency by using Logistics institutions and Logistics service systematically. This research is focused on analyzing the efficiencies of top 40 Global Logistics Providers. The framework assumes that the Providers use three inputs to produce one output. The inputs include number of employees information system, and number of warehouses. The output is the annual turnover. The results show that Panalpina, C.H. Robinson Worldwide, Maersk Logistics/Damco, Hub Group, Lander Global Logistics on Global Logistics Providers are the efficient providers. This paper also allows the inefficient DMUs to establish their benchmarking strategies. The strategies are dependent on the assets such as number of employees, information system, and number of warehouses.

• Journal of Digital Convergence
• /
• v.11 no.10
• /
• pp.255-262
• /
• 2013

Data envelopment analysis(DEA) is a linear programming procedure designed to evaluate the relative efficiency of a set of peer entities called decision making units which use the same inputs to produce the same outputs. It has been widely employed in a variety of disciplines as an efficiency or performance measurement tool for comparing a set of entities such as firms, banks, hospitals, nations and organizations. The method, however, cant's make the priority of their performance when many units have efficiency score of unity or 100 percent. In this paper, we propose a new approach which combine qualitative method(graphical approach using network analysis) and quantitative method(super-efficient analysis using DEA), and present the results of an empirical analysis using the data of the Korean professional baseball players. As a result, there were 12 DMU that priority is hardly realized through DEA. However, this problem could be solved with super-efficiency analyzing. Also, more in-depth interpretation was able through integrating results of dendrogram and super-efficiency analyzing and prospecting it in qualitative, quantitative ways.