• Industrial Engineering and Management Systems
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• 제3권1호
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• pp.22-37
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• 2004

An integrated heuristic approach based on genetic algorithms (GAs) is proposed for solving the container selection and loading problems. The GA for container selection solves a two-dimensional knapsack problem, determining a set of containers to minimize the transportation or shipment cost. The GA for container loading solves for the weighted coefficients in the evaluation functions that are applied in selecting loading positions and boxes to be loaded, so that the volume utilization is maximized. Several loading constraints such as box orientation, stack priority, stack stability, and container stability are also incorporated into the algorithm. In general, our computational results based on randomly generated data and problems from the literature suggest that the proposed heuristic provides a good solution in a reasonable amount of computational time.

• 한국해양환경ㆍ에너지학회지
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• 제5권1호
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• pp.19-29
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• 2002

본 논문에서는 운송시간과 운송비용으로 구성되는 희생량 모델과 각 운송경로별 CO₂배출량을 고려한 수출입 컨테이너화물의 운송경로 선택에 관하여 고찰한다. 먼저 부산항을 이용하는 수출입 컨테이너화물의 물동량과 운송경로별 분담, 국내외 CO₂배출량 현황, 희생량 모델, 수출입 컨테이너화물의 시간가치에 대하여 간단히 살펴본다. 그리고 서울에서 발생한 수출입 컨테이너화물을 부산항으로 운송하는 경우를 가정하고 희생량 모델을 이용하여 계산한 각 운송경로별 희생량에 기초한 운송경로의 선택에 대하여 고찰한다. 또한 화물의 운송에 의하여 발생하는 CO₂배출량을 고려하여 결정한 환경부하 희생량을 추가한 희생량 모델을 이용한 운송경로의 선택에 대해서도 고찰한다. 본 연구의 결과, 희생량 모델에 기초한 컨테이너화물의 운송경로 선택이 수출입 컨테이너화물의 국내 수송 현황을 잘 나타내고 있는 것을 확인하였다. 또한 연안운송의 운송분담율을 높이기 위해서는 운송시간의 단축이 가장 효과적인 것을 확인하였다.

• 품질경영학회지
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• 제32권2호
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• pp.77-92
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• 2004

It is difficult but very necessary to measure the productivity of container terminals as logistics service provider. It is meaningful to find the appropriate inputs and outputs of the logistics service delivery systems and to measure the relationship between these inputs and outputs. This study proposes a model of evaluating the efficiency of container terminals. The evaluation consists of three phases. First, DEA(Data Envelopment Analysis) phase, determines the efficiency score and weights of DMUs(Decision Making Unit). This phase performs through four steps : selection of DMU, selection of DEA model, determination of input and output factors, calculation of efficiency score and weights for each DMU. Secondly, CEM (Cross Evaluation Model) phase, is to calculate the cross-efficiency scores of DMUs. This phase performs through three steps: selection of CEM, determination of cross-efficiency score for each DMU and development of cross-efficiency matrix. Finally, average cross-efficiency analysis phase is to compute the average cross-efficiency score. The proposed model discriminates among DMUs and ranks DMUs, whether they are efficient or inefficient.

• 무역상무연구
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• 제35권
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• pp.147-178
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• 2007

This study clarified a study of relationship of strategic alliance structure factor, partner selection criteria and performance awareness on the container liners alliance. In order to obtain such objective of study existing literature variables suitable to the container liner were perused and extracted. Research models for research development and three study hypothesis were set out and scope of investigation and samples were chosen. The research hypothesis are followings. H1: The factors of strategic alliance motivation influence the performance awareness. H2: The strategic alliance structure factors influence the performance awareness. H3: The factors of partner selection criteria influence the performance awareness. In the result of the empirical study, the hypothesis 1, hypothesis 2 were supported completely and hypothesis 3 was partially supported.

• 한국항해항만학회지
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• 제27권2호
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• pp.155-162
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• 2003

본 논문에서는 운송시간과 운송비용으로 구성된 희생량 모델과 운송경로의 환경비용을 이용한 수출입 컨테이너화물의 운송경로 선택에 관하여 고찰한다. 먼저 희생량 모델, 운송의 환경비용, 수출입 컨테이너화물의 물동량과 운송경로별 분담율에 대하여 간단히 살펴본다. 그리고 부산항의 수출입 컨테이너화물을 서울로 운송하는 경우를 가정하고 운송시간과 운송비용, 화물의 운송에 의하여 발생하는 환경비용에 대하여 고찰한다. 또한 환경비용을 고려한 희생량 모델을 이용하여 각 운송경로별 희생량을 계산한다. 마지막으로 계산된 운송경로의 희생량에 기초하여 수출입컨테이너 화물의 운송경로를 결정한다. 본 연구의 결과, 운송의 환경비용을 고려하는 경우 수출입컨테이너의 육상운송 분담율이 감소하며 연안운송 분담율이 증가하는 것을 확인하였다.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2003년도 춘계공동학술대회논문집
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• pp.304-310
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• 2003

본 논문에서는 운송시간과 운송비용으로 구성된 희생량 모델과 운송경로의 환경비용을 이용한 수출입 컨테이너화물의 운송경로 선택에 관하여 고찰한다. 먼저 희생량 모델, 운송의 환경비용, 수출입 컨테이너화물의 물동량과 운송경로별 분담율에 대하여 간단히 살펴본다. 그리고 부산항의 수출입 컨테이너화물을 서울로 운송하는 경우를 가정하고 운송시간과 운송비용, 화물의 운송에 의하여 발생하는 환경비용에 대하여 고찰한다. 또한 환경비용을 고려한 희생량 모델을 이용하여 각 운송경로별 희생량을 계산한다. 마지막으로 계산된 운송경로의 희생량에 기초하여 수출입컨테이너 화물의 운송경로를 결정한다. 본 연구의 결과, 운송의 환경비용을 고려하는 경우 수출입컨테이너의 육상운송 분담율이 감소하며 연안운송 분담율이 증가하는 것을 확인하였다.

• 대한기계학회논문집
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• 제18권11호
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• pp.2805-2816
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• 1994

This paper describes dynamic finite element analyses performed to study the dynamic behaviors of a shipping container under the impact onto rigid target due to the accidental fall from the hight of 9 m. Using two and three dimensional techniques, the shipping container which gave the maximum damage, ten different drop orientations are considered ; at intervals of $5^{\circ}$ from $45^{\circ}$ to $90^{\circ}$ According to the present results, the orientation of the shipping container which gave the maximum damage is $85^{\circ}$ from horizontal for oblique drop in the primary impact. In the optimal design of the shipping container, the impact limiter material must be considered importantly because it's proper selection affects the weight and the manufacturing cost of the shipping container. The analysis of the shipping container in this paper demonstrated that the shipping container is structurally sound relative to the regulatory drop test requirements.

• 한국항만학회지
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• 제13권1호
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• pp.41-50
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• 1999

The main purpose of this study is to design the port marketing strategies for strengthening the competitive power of container terminal. So far many attempts have been made to analyze the international competitiveness of the terminal. Six factors hypothesized by this study come from previous research analyses about customers preference for port selection. Those are Cost Centrality and Intermediacy Free trade port Inland transportation connections Political and Economic institution and Port facilities. this study analyzes the most important factors about hob port and transhipment port separately through questionnaire analysis about users(shipper shipping company and freight forwarder) influencing on port selection. The results of this study were found as follows:

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 1998년도 추계학술대회논문집:21세기에 대비한 지능형 통합항만관리
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• pp.331-351
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• 1998

The main purpose of this study is to design the port maketing strategies for strengthening the competitive power of container terminal. So far many attempts have been to analyze the international competitiveness of the terminal. As a results, Six factors hypothesized by this study come from previous research analysis about customers preference for port selection. Those are Cost, Centrality, and Intermediacy, Free trade port, Inland transportation connections, Political and Economic institution, and Port facilities. This study analyze the most important factor about hub port, and transhipment port separately, though questionnaire analysis about users(shipper, shipping company, and freight forwarder) influenced on port selection. The results of this study were found as follows : Equations See Full-text

• 한국시뮬레이션학회논문지
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• 제8권4호
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• pp.61-72
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• 1999

This paper presents an estimation method of container handling capacity and selection of resource allocation strategies of container terminals using the computer simulation models. Simulation models are developed to model container terminal consisting of 4 berths considering the berth allocation strategies, crane allocation strategies and the total number of container cranes using Arena simulation package. The proposed models do not consider the yard operations and gate operations. All the input parameters for the models are estimated on the basis of the existing container terminal operation data and the planning data for the automated container terminal planned by Korean government. Four berth allocation strategies and three crane allocation strategies are considered. The total number of container cranes considered ranges from 12 to 15. Non-terminating simulation techniques are utilized for the performance comparison among alternatives. The performance measures such as average ship turnaround time, average ship waiting time, average ship service time, the number of containers handled per year, and the number of ships processed per year are used. The result shows that the berth allocation strategy minimizing the sum of the number of ships waiting, the number of busy container cranes and number of ships handled performs better than any other berth allocation strategies. In addition, the crane allocation strategy allocating up to 5 container cranes per berth performs better than any other crane allocation strategies. Finally there are no significant performance differences among the alternatives consisting of different total number of container cranes allocated.