• Journal of Korea Port Economic Association
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• v.25 no.3
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• pp.229-250
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• 2009

This paper aims to implement an empirical research about the efficiency of America and Northeast Asia pots, and to suggest an effective strategy which can operate these ports more well. This study tries to apply the Data Envelopment Analysis(DEA) model to America and Northeast Asia ports. DEA is a methodology of comparing the relative efficiency of each decision making unit(DMU) by comparing it with other DMUs having similar input and output structure, and is specially very useful when a form of production function of each DMU such as a port is not known. DEA provides the extent of inefficiency of DMUs, which is practically useful information (like the efficiency score and reference sets) required to improve efficiency. This paper analyzed the relative efficiency of 35 ports in America and Northeast Asia for 3 years from 2005 to 2007 through DEA-CCR, DEA-BCC model and scale efficiency. Accordingly, this paper evaluates the efficiency of America and Northeast Asia ports, grasps the position at the present time, and suggests an advanced direction in future.

• Journal of Agricultural Extension & Community Development
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• v.15 no.2
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• pp.339-365
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• 2008

농촌개발에 관한 정책영역이 농촌공간 단위의 농업정책과 비농업정책을 포괄하는 방향으로 진행됨에 따라 관련된 농촌개발주체는 분산, 다기화되어 있다. 필리핀의 경우 농촌개발과 관련된 중앙정부의 관련부처는 상대적으로 세분화되어 있으며, NGO 등의 관련기구도 많은 편이다. 또한 필리핀의 지방행정계층의 수도 다른 나라에 비하여 상대적으로 많다. 이는 중앙정부 부처간, 중앙부처와 NGO 및 중앙정부와 지방정부간의 조정을 어렵게 하는 요인으로 작용한다. 한편, 지방정부 레벨에 있어서는 농촌개발과 관련된 관련주체간의 조정시스템에 관하여 지방정부법(1991)에 상세한 규정을 두고 있으나, 실제적인 작동의 면에서 한계를 가지고 있다. 특히, 필리핀의 농촌개발과 관련된 지방단위의 관련주체의 역량은 충분히 함양되지 못하고 있는 상황에서 주민과 NGO의 농촌개발에 대한 참여(민주성)를 매우 중시하고 있다. 필리핀 농촌의 발전을 위해서는 관련 주체들의 분산도를 감소시키고, 주체간의 통합성의 증진을 위한 노력이 필요하며, 관련 개별주체의 역량강화와 효율성에 입각한 조정체계의 정립과 전략이 절실히 요구되고 있다.

• Journal of the Korean Society for Railway
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• v.12 no.6
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• pp.1030-1036
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• 2009

In 1990's, in Europe and some advanced nations, the structural reform of the railroad industry for improving the productive efficiency of the railroad industry and competitive power had been progressed. This paper empirically explores the relationship between railway restructuring and productive efficiency in the railway industry. We use Data Envelopment Analysis (DEA) to construct efficiency scores, and explain these scores, using Tobit regression analysis by using variables reflecting institutional factors and organizational type. Our results suggest that vertical separation, infrastructure and services are separated, and horizontal separation, passenger service and freight service are separated, improve productive efficiency. We also find that market competition has positive effect on the efficiency, but independent management from the government has negative effect, which is in line with economic intuition as well as with expectations on the railway restructuring. As a consequence, increased independence without sufficient competition and adequate regulation may deteriorate incentives for productive efficiency.

• Journal of the Korean Society of Marine Environment & Safety
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• v.23 no.6
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• pp.646-651
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• 2017

The purpose of this study is to design a proper evaluation method for analysing the safety management efficiency of coastal ship companies, and to verify these evaluation standards by applying them to a representative company. For this purpose, 5 evaluation items and 14 specific sub-evaluation elements have been determined after collecting practical opinions from a group of expert, which consisted of safety managers in passenger ship companies, public servants as a ship inspector, passenger ship operations managers, etc. Next, the safety management levels of 44 coastal passenger ship companies were evaluated using these standards. Finally, the validity of the proposed evaluation method was verified through comparison analysis between the evaluation results and the ratio of major marine accidents. It was determined that companies with low evaluation levels were saw more major marine accidents than other coastal passenger ship companies, spurring greater interest in safety management. In conclusion, evaluation standards allow coastal passenger ship companies to voluntarily assess their safety management level were established. The result can also be applied to analyse the operation efficiency of coastal passenger ship companies.

• Journal of the Korea institute for structural maintenance and inspection
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• v.19 no.6
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• pp.72-79
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• 2015

An efficient and practical reliability evaluation method is proposed for the coastal structures in this paper. It is capable of evaluating reliability of real complicated coastal structures considering uncertainties in various sources of design parameters, such as wave and current loads, resistance-related design variables including Young's modulus and compressive strength of the reinforced concrete, soil parameters, and boundary conditions. It is developed by intelligently integrating the Latin Hypercube sampling (LHS), Monte Carlo simulation (MCS) and the finite element method (FEM). The LHS-based MCS is used to significantly reduce the computational effort by limiting the number of simulation cycles required for the reliability evaluation. The applicability and efficiency of the proposed method were verified using a caisson-type breakwater structure in the numerical example.

• Journal of Navigation and Port Research
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• v.29 no.3 s.99
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• pp.195-201
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• 2005

This paper presents the measurement of efficiency for container ports. Data envelopment analysis(DEA), as it is called, has particular applicability in the service sector. Applying mathematical programming techniques, DEA enables relative efficiency ratings to be derived within a set of analysed units. This paper investigates the efficiency employing DEA Model on data for 53 container ports covering 1995-2001 in the world and the change in efficiency for 7 years. As a results, port of Busan was evaluated as inefficiency port compare with major ports of the world except 1995year and 1996year. But After 1997year, efficiency of Busan port is increasing somewhat better every year.

• Journal of Navigation and Port Research
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• v.36 no.6
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• pp.527-534
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• 2012

In order to achieve sustainable growth and gain competitive advantages business performance should be monitored regularly by a company. In the port industry container terminal operators are facing growing competition. A large scale of new container terminals are constructed and the number of new container terminal operators are increasing. Container shipping lines are gaining bargaining power against terminal operators in terms of negotiating terminal usage. The competitive environments result in reduced cargo handling charges and poor financial performance of container terminal operators. It becomes very important to examine how efficiently container terminal operators are operating their terminals and how to improve their performance. This paper investigates the measurement efficiency for container terminal operators in Korea using Data envelopment analysis(DEA) of DEA-CCR and DEA-BCC Model. This paper finds out which container terminal operators are inefficient and how to improve their management efficiency.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.351-356
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• 2004

This study aims to implement an empirical research about the efficiency of container Ports, and to suggest an effective strategy which can operate container Ports more well. This paper presents a new approach to the measurement of efficiency. Data envelopment analysis(DEA), as it is called, has particular applicability in the service sector. This study applies DEA to provide an efficiency measurement for fifty three container ports including Pusan Port. As a result, we suggest several ideas that can improve the efficiency of container terminals. They are as follows. Firstly, we discriminate between efficient and inefficient container ports and then present a method that can move to efficiency container terminal and a benchmarking port. Secondly, we evaluate the efficiency of Pusan port, and grasp the position at the present time, suggest an advanced direction in future.

• Journal of Technology Innovation
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• v.21 no.3
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• pp.41-72
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• 2013

In this study, a comparison has been made among the countries regarding recent ICT practices being performed based on the measures of relative efficiency and productivity growth that use multiple inputs and outputs. Efficiency measures a country's ICT performance relative to a benchmark at a given point of time and productivity measures a country's performance over a period of time. An output-oriented Data Envelopment Analysis and Malmquist Index has been used for comparison among 28 countries over the period 2008-2011 by incorporating 9 variables. The empirical findings disclose gross inefficiencies in national ICT practices, which show that there is room for enhancing output gains through increased efficiency in their operations. In addition, 13 countries have performed better than others in total factor productivity mainly because of their improvement in the underlying technological progress in ICT. For those technically inefficient countries, however, technical inefficiency may hamper the growth of total factor productivity of ICT practices.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.606-609
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• 2015

본 연구에서는 support vector regression (SVR) 및 매개변수 최적화 알고리즘을 이용한 하천수위 예측모델을 구축하고 이를 실제 유역에 적용하여 모델 효율성을 평가하였다. 여기서, SVR은 하천수위를 예측하기 위한 예측모델로서 채택되었으며, 커널함수 (Kernel function)로서는 radial basis function (RBF)을 선택하였다. 최적화 알고리즘은 SVR의 최적 매개변수 (C?, cost parameter or regularization parameter; ${\gamma}$, RBF parameter; ${\epsilon}$, insensitive loss function parameter)를 탐색하기 위하여 적용되었다. 매개변수 최적화 알고리즘으로는 grid search (GS), genetic algorithm (GA), particle swarm optimization (PSO), artificial bee colony (ABC) 알고리즘을 채택하였으며, 비교분석을 통해 최적화 알고리즘의 적용성을 평가하였다. 또한 SVR과 최적화 알고리즘을 결합한 모델 (SVR-GS, SVR-GA, SVR-PSO, SVR-ABC)은 기존에 수자원 분야에서 널리 적용되어온 신경망(Artificial neural network, ANN) 및 뉴로퍼지 (Adaptive neuro-fuzzy inference system, ANFIS) 모델과 비교하였다. 그 결과, 모델 효율성 측면에서 SVR-GS, SVR-GA, SVR-PSO 및 SVR-ABC는 ANN보다 우수한 결과를 나타내었으며, ANFIS와는 비슷한 결과를 나타내었다. 또한 SVR-GA, SVR-PSO 및 SVR-ABC는 SVR-GS보다 상대적으로 우수한 결과를 나타내었으며, 모델 효율성 측면에서 SVR-PSO 및 SVR-ABC는 가장 우수한 모델 성능을 나타내었다. 따라서 본 연구에서 적용한 매개변수 최적화 알고리즘은 SVR의 매개변수를 최적화하는데 효과적임을 확인할 수 있었다. SVR과 최적화 알고리즘을 이용한 하천수위 예측모델은 기존의 ANN 및 ANFIS 모델과 더불어 하천수위 예측을 위한 효과적인 도구로 사용될 수 있을 것으로 판단된다.