• Journal of the Korean Society of Marine Environment & Safety
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• v.26 no.7
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• pp.858-863
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• 2020

We experimented with the particle-settling velocity and CHCl3 absorption efficiency of seven activated-carbon and analyzed seven heavy metal contents by elution for application to the field treatment of sunken HNS on the marine seabed. The mean particle-settling velocity was in the range 0.5-8 cm/s, except when the 8-20 mesh was used. The larger the HNS particle, the faster the particle-settling velocity was, and the CHCl3 absorption efficiency increased considerably owing to the larger surface area. In addition, the elution test results showed that the total Zn and As contents in >100-meshed activated carbon was higher than the contents criteria for the standard for water-treatment agents, and Cr, Zn, and As were released at higher concentrations than those released by other activated-carbon groups. Taken together, the CHCl3 absorption efficiency, settling velocity, and elution test results suggested that the 20-60, 20-40, and 2mm&down mesh activated-carbon adsorbents could be applied to the field treatment of HNSs and that the minimum required amount for field treatment were 0.82, 0.90, and 1.28 ton/㎘, respectively, as calculated based on the HNS-adsorption-capacity priority.

• Journal of Korea Port Economic Association
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• v.26 no.1
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• pp.131-143
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• 2010

This study aims to analyse efficiencies of international main container ports. For the purpose, it selected twenty main ports based on the volume of cargo of ports recorded in Containerisation International Yearbook and conducted BCC(efficiency analysis) on them. The variables which may influence efficiency of ports were selected based on previous studies. Berth, Depth, Crane and Total area were input variables and Total TEU was an output variables. The results are summarized as follows: First, DEA-CCR efficiency of Shenchen Port(China) was 1.0, which was the most efficient poor analysed. Second, DEA-BCC efficiency of Port of Singapore, Shenchen Port(China), Ningbo Port (China), Port of Tanjung Pelepas (Malaysia) was 1.0, which was the most efficient analysed. Third, efficient scale of Shenchen Port(China) has been 1.0 for four subsequent years from 2004 to 2007, which was the most efficient analysed.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.34 no.2
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• pp.605-616
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• 2014

The purpose of this study is to analyze transport efficiency of each of the 17 urban railway lines being operated by national public agencies using Data Envelopment Analysis (DEA) and to seek strategies for improving efficiency of the urban railway system. The study identified the economies of scale derived from these values of efficiency and examined the effects on cost for free ride loss and profit of transport by the fare system as the external factor. At the time, Transport profits are estimated by two production factors such as the number of vehicles and service frequency derived from multiple regression. Finally, the measures to improve the efficiency were presented in terms of profitability in the national urban railway line by applying the values of efficiency derived from DEA to multidimensional scaling (MDS).

• Korean Journal of Construction Engineering and Management
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• v.23 no.4
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• pp.57-64
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• 2022

A plant factory is a facility that creates an artificial environment in a controlled space and produces plants systematically through automated facilities. However, automation in the cultivation process is insufficient compared to the internal environment control technology in plant factories. This causes the problem of an increase in operating costs due to the input of a large number of workers. Therefore, this study aims to evaluate economic feasibility by comparing before and after introducing automation in the cultivation process of plant factories. The target plant factory to be analyzed was selected, and the break-even point analysis method was used by comparing the cost required compared to the operating period. As a result, the break-even point was analyzed to be 3.4 years when automation was introduced into six processes for plant cultivation. Therefore, it can be judged that the introduction of automation is excellent in terms of economic feasibility when the target plant factory has been operated for more than 3.4 years. This study is expected to be used as basic data to analyze the economic feasibility of introducing automation in domestic and foreign plant factories.

• The KIPS Transactions:PartD
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• v.11D no.5
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• pp.1105-1122
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• 2004

The organization and company's effort to improve software qualify contributes to the increase of software productivity and quality in some sense. However, it has not been a solution of root causes. This result is caused not because of people or technology, but process in-stitutionalization. Recently SQA (Software Quality Assurance), which provide mechanism to make sure that the software development process and products follow the assigned requirements, plan and standards, is applied to achieve the quality improvements. Several standards and models are developed for SQA activities. However, those standards and mode]s are written in form and do not provide information related to the detailed procedures, methods and outputs. Therefore, the organizations that want to adopt those models or standards have to put a lot of effort to acquire the knowledge about the models and to set up SQA Process that is tailored to meet organization's goal and objectives. In this research, we developed SQA support package to support the organization to develop their SQA process in more convenient and systematic ways. With this package, the organizations can establish SQA Process by tailoring those features necessary to reflect organization's characteristics. We expect this package contribute the organizations in a way that it reduce the effort and cost for establishing SQA process.

• Korean Journal of Construction Engineering and Management
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• v.15 no.5
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• pp.13-21
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• 2014

This study on condominium complex will adopt the quantitative assessment of the influence on the environment throughout the entire life cycle of buildings. This paper applies input-out analysis in order to analyse embodied energy regarding input of materials at material production phase. Also, it calculates environment load at use and demolition and destruction Phases of buildings as analysing energy consumption. The study categorises environment load as six impact categories and undertakes environmental impact evaluation. The consequence shows that the environment load of multi-unit dwelling takes up 88.2% out of the entire environment load of condominium complex. Also, as a result of analyzing the environmental impact of the life cycle of condominium buildings, it was found that such environmental impact comprised of about 11.96% of all industries in Korea that had an environmental impact.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.1
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• pp.75-84
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• 2016

This study is to analyze the efficiency of oriental hospitals using DEA. The input variables are the numbers of doctors, nurses, medical technicians, and beds. The output variables are the numbers of annual inpatients and outpatients. The statistical analysis tools used are EnPas and IBM SPSS Statistics 19. The result in efficiency analysis by establishment type showed that the national and public hospitals had the most efficiency. In the case of location, the efficiency of the oriental hospitals in Seoul was the highest but those in the Metropolitan areas had a relatively low efficiency. If the number of the beds was generally less than 50 beds, the hospitals were highly efficient, but the hospitals in the medium category of 51-100 beds were low in efficiency. The Logistic regression analysis conducted to analyze the variables that have affected the efficiency of oriental hospitals resulted that the efficiency increased by 1.045 everytime the number of nurses increased by 1.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.276-284
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• 2009

This paper applies DEA windows analysis in order to determine the efficiency of the Districts of Busan Metropolitan City over time for 5 years (2003 - 2007). This paper used such factors including Number of solutions of civil petitions, Local Tax Collection, and Financial Independent rate as output, Total Labor Costs, Government Employees, Population and Expenditure as inputs. This study concludes that the efficiency of the different District can fluctuate over time to different extents and efficiency of most District decreases from 2003. Indeed, the empirical results reveal that substantial inefficiency exists in some Districts at some point in time. In consequence, this validates the necessity for using DEA windows analysis in preference to an analysis based upon cross-sectional data. This paper shows that Districts' efficiency decreases as Window goes to 1 to 3.

• 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.

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