• 제목/요약/키워드: container model

검색결과 823건 처리시간 0.022초

컨테이너 내륙 운송을 위한 차량 일정 계획의 수립 (Vehicle Scheduling for Inland Container Transportation)

  • 이희진;이정훈;문일경
    • 산업공학
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    • 제20권4호
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    • pp.525-538
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    • 2007
  • The importance of efficient container transportation becomes more significant each year due to the constant growth of the global marketplace, and studies focusing on shipping efficiency are becoming increasingly important. In this paper, we propose an approach for vehicle scheduling that decreases the number of vehicles required for freight commerce by analyzing and scheduling optimal routes. Container transportation can be classified into round and single-trip transportation, and each vehicle can be linked in a specific order based on the vehicle state after completing an order. We develop a mathematical model to determine the required number of vehicles with optimal routing, and a heuristic algorithm to perform vehicle scheduling for many orders in a significantly shorter duration. Finally, we tested some numerical examples and compared the developed model and the heuristic algorithm. We also developed a decision support system that can schedule vehicles based on the heuristic algorithm.

하이브리드 ARIMA-신경망 모델을 통한 항만물동량 예측에 관한 연구 (A study on the forecast of container traffic using hybrid ARIMA-neural network model)

  • 신창훈;강정식;박수남;이지훈
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2007년도 추계학술대회 및 제23회 정기총회
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    • pp.259-260
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    • 2007
  • 컨테이너항만의 물동량 예측은 항만의 계발 및 운영계획을 위해 매우 중요한 과정이다. 일반적으로 회귀분석, ARIMA 등의 통계적 방법론을 통해 많은 예측이 이뤄져왔다. 최근의 연구에서는 인공 신경망(ANN)기법을 통한 예측이 이뤄지고 있으며 기존의 선형적인 기법을 대신하고 있다. 본 연구에서는 선형모델과 비선형모델에 강점이 있는 ARIMA와 신경망 모델을 결합해 보다 효과적인 예측 모델을 개발하고자 한다. 실제 항만의 과거 자료를 통해 모델의 적합성을 측정하였고 항만의 특성에 따라 모형의 적합성이 다양하게 나타났다.

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유해산출물을 고려한 국내 컨테이너 터미널 효율성 분석 (Data Envelopment Analysis for Container Terminals Considering an Undesirable Output - Focus on Busan Port & Kwangyang Port)

  • 신창훈;정동훈
    • 한국항해항만학회지
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    • 제37권2호
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    • pp.195-201
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    • 2013
  • Recently according to increase of enlarged scale ports in conformity with increase in over size vessels and container handling service, pollutants generated from ports are increasing. In advanced countries, reduction in carbon dioxide emission assigned to them has been implemented according to the Climate Change Convention and Kyoto Protocol from 2008 to 2012 in order to lessen carbon dioxide emission. Henceforth increase in discussion on the measure of constructing Green Port and low-carbon port is expected in our nation's field of port as well, it is considered that the effort in reduction with regard to undesirable output which causes environmental problem of analysis target during measuring effectiveness. Therefore, in this study, effectiveness was estimated through directional technology distance function considering undesirable output differently from effectiveness analysis of existing container terminal, and then performed comparative analysis with the result analyzed with BCC output-oriented model. As the result of analysis, in 2007 DMU3 and DMU5, and in 2010 DMU2 and DMU4 appeared to be efficient terminals in BCC output oriented model, and in directional technology distance function model, DMU1, DMU3 in 2007, DMU3, DMU5 in 2008, DMU7 in 2009, and DMU2, DMU5 in 2010 appeared to be efficient terminals.

항만 컨테이너 터미널 반출입 혼잡 영향 요소 분석을 통한 반출입 혼잡도 예측 모델 아키텍처 개념 설계 (Design of a Predictive Model Architecture for In-Out Congestion at Port Container Terminals Through Analysis of Influencing Factors)

  • 김푸름;박승진;정석찬
    • 한국정보시스템학회지:정보시스템연구
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    • 제33권2호
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    • pp.125-142
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    • 2024
  • Purpose The purpose of this study is to identify and analyze the key factors influencing congestion in the in-out transportation at port container terminals, and to design of a predictive model for in-out congestion based on these analysis. This study focused on architecting a deep learning-based predictive model. Design/methodology/approach This study was conducted through the following methodology. First, hypotheses were established and data were analyzed to examine the impact of vessel schedules and external truck schedules on in-out transportation. Next, explored time series forecasting models to a design the architecture for deep learning-based predictive model. Findings According to the empirical analysis results, this study confirmed that vessel schedules significantly affect in-out transportation. Specifically, the volume of transportation increases as the vessel arrival/departure time and the cargo cutoff time approach. Additionally, significant congestion patterns in transportation volume depending on the day of the week and the time of day were observed.

컨테이너터미널 운영능력분석을 위한 교육콘텐츠개발 (Developing Educational Content for Analysis of Container Terminal Operation)

  • 조규성
    • 한국콘텐츠학회논문지
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    • 제7권11호
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    • pp.239-247
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    • 2007
  • 최근 들어 항만물류분야의 중요성이 강조되고 있는 시점에서 항만물류분야의 중추적 역할을 담당하고 있는 컨테이너터미널의 운영능력을 체계적으로 계획하고 분석하기 위한 다양한 연구가 추진되고 있다. 그러나 현재 교육기관에서는 컨테이너터미널 운영을 실습할 수 있는 교육콘텐츠의 부족으로 인해 효율적인 항만물류분야 교육과정을 진행할 수 있는 교육콘텐츠 개발이 요구되고 있다. 따라서 본 연구는 교육기관에서 컨테이너터미널 운영 실습이 가능한 교육용 콘텐츠개발에 관한 연구이다. 이를 위해 본 연구에서는 시뮬레이션 기법을 적용하여 컨테이너터미널의 운영을 수행할 수 있는 콘텐츠 개발과정과 적용 및 그 활용방안을 제시하고자 한다.

항만 컨테이너 처리능력의 통계적 예측에 관한 연구 (A Study of Dynamic Forecast on Port Container Handling Capacity)

  • Feng, Zhan-Qing;Lee, Su-Ho
    • 한국항해항만학회지
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    • 제26권2호
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    • pp.161-166
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    • 2002
  • 컨테이너 처리량(CHC)은 항만의 능력을 나타내는 중요한 지표다. 그러나 중국항만의 컨테이너 처리능력에 대한 연구는 부족하며, 연구결과 또한 예측치와 실제치와의 차이가 크다. 이는 컨테이너처리량이 다양한 경제적인 측면을 내포하고 있고 예측모델의 선택이 매우 어렵다는데 기인한다. 대체로 지금까지 사용되어왔던 회귀분석, 신경망분석 등은 과거행태모델을 벗어나지 못하고 있어 경제체제나 항만물동량의 동태적변화에 대한 고려가 결여되어 있다. 따라서 본 논문에서는 동태적 보정인과모델을 사용한 동태적 예측법을 사용해 보았고 그 결과 보다 신뢰성이 높고 현실성이 있는 연구결과를 도출할 수 있었다.

A Study on the Evaluation of Surface Dose Rate of New Disposal Containers Though the Activation Evaluation of Bio-Shield Concrete Waste From Kori Unit 1

  • Kang, Gi-Woong;Kim, Rin-Ah;Do, Ho-Seok;Kim, Tae-Man;Cho, Chun-Hyung
    • 방사성폐기물학회지
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    • 제19권1호
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    • pp.133-140
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    • 2021
  • This study evaluates the radioactivity of concrete waste that occurs due to large amounts of decommissioned nuclear wastes and then determines the surface dose rate when the waste is packaged in a disposal container. The radiation assessment was conducted under the presumption that impurities included in the bio-shielded concrete contain the highest amount of radioactivity among all the concrete wastes. Neutron flux was applied using the simplified model approach in a sample containing the most Co and Eu impurities, and a maximum of 9.8×104 Bq·g-1 60Co and 2.63×105 Bq·g-1 152Eu was determined. Subsequently, the surface dose rate of the container was measured assuming that the bio-shield concrete waste would be packaged in a newly developed disposal container. Results showed that most of the concrete wastes with a depth of 20 cm or higher from the concrete surface was found to have less than 1.8 mSv·hr-1 in the surface dose of the new-type disposal container. Hence, when bio-shielded concrete wastes, having the highest radioactivity, is disposed in the new disposal container, it satisfies the limit of the surface dose rate (i.e., 2 mSv·hr-1) as per global standards.

정규 분포 모델을 이용한 화물 적재 문제의 이론적 해법 도출 및 활용 (On the Theoretical Solution and Application to Container Loading Problem using Normal Distribution Based Model)

  • 정승환
    • 산업경영시스템학회지
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    • 제45권4호
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    • pp.240-246
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    • 2022
  • This paper introduces a container loading problem and proposes a theoretical approach that efficiently solves it. The problem is to determine a proper weight of products loaded on a container that is delivered by third party logistics (3PL) providers. When the company pre-loads products into a container, typically one or two days in advance of its delivery date, various truck weights of 3PL providers and unpredictability of the randomness make it difficult for the company to meet the total weight regulation. Such a randomness is mainly due to physical difference of trucks, fuel level, and personalized equipment/belongings, etc. This paper provides a theoretical methodology that uses historical shipping data to deal with the randomness. The problem is formulated as a stochastic optimization where the truck randomness is reflected by a theoretical distribution. The data analytics solution of the problem is derived, which can be easily applied in practice. Experiments using practical data reveal that the suggested approach results in a significant cost reduction, compared to a simple average heuristic method. This study provides new aspects of the container loading problem and the efficient solving approach, which can be widely applied in diverse industries using 3PL providers.

DEA 모형을 이용한 세계 주요 항만의 효율성 평가 (An Empirical Study on the Efficiency of Major Container Ports with DEA Model)

  • 송재영;신창훈
    • 한국항해항만학회지
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    • 제29권3호
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    • pp.195-201
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    • 2005
  • 본 연구는 부산항을 포함한 세계 주요 컨테이너 항만들의 효율성을 DEA(Data Envelopment Analysis)모형을 통해 상대적으로 분석함으로써, 부산항의 현재 위치와 더 효율석인 항만이 되기 위해 벤치마킹(Benchmarking)해야 할 대상을 구체화하였다. 또한, 본 연구에서는 일정시점의 효율성 분석이 아닌 1995년-2001년까지 7개년의 효율성을 시계열적으로 분석함으로써 각 항만의 효율성 변화할 살펴보았다. 분석 결과, 부산항은 95년, 96년을 제외한 나머지 연도에 대해서 비효율적인 항만으로 구분되었으며, 97년 이래로 효율성 지수가 다소 증가하고 있는 것으로 나타났다.

자이로콤파스 추종계통 편각검출기에 관한 연구 (The Sensitivity Enhancement for the Deflection Sensor of the Marine Gyrocompass Follow-up System)

  • 이상집;이은방
    • 한국항해학회지
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    • 제12권2호
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    • pp.33-42
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    • 1988
  • As a basic study for enhancing the sensitivity of the follow-up system of the marine gyrocompass, the geometric characteristics of the deflection sensor were investigated and the theoretical model of it was formulated. The output signal voltage of the deflection sensor was esamined by changing the attitude of gyrosphere against follow-up container. The characteristics of the output are found to be indentical with those of the distance difference versus the relative azimuthal deflection of the gyrosphere against the follow up container. On the base of the theoretical model, some useful points for the design of the deflection sensor are suggested as following : 1. When the difference between semidiamter of gyrophere and that of the follow-up container decreases, the sensitivity of deflection sensor increases. 2. If the semidiameter difference of two spheres is constant, the sensitivity of deflection sensor is proportional to the magnitude of the semidiamter of each sphere. 3. The farther the gyrosphere is deviated from the center of follow-up container, the higher the sensitivity of deflection sensor is. 4. It is recommendable that the value of the datum deflection of the electrodes on the gyrosphere should be within the range between $4^{\circ}$ and $16^{\circ}$deviated from north-south line.

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