• Title/Summary/Keyword: Maritime Logistic

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Forecasting Model for Korean Ships' Detention in Port State Control

  • Kim, Gil-Soo;Kong, Gil-Young
    • Journal of Navigation and Port Research
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    • v.32 no.9
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    • pp.729-736
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    • 2008
  • Very often has it happened that Korean flag ships were detained due to the defect of the ship itself at the port they are entering into by the system of Port State Control(PSC). It does matter because the high detention ratio of Korean ships causes to increase the survey ratio of Korean ships by PSC countries, which increases overall operating costs of Korean shipping companies. Therefore Korean government should take tougher action on the detention of Korean ships. The study uses 946 inspections to formulate the model of identifying PSC-weak ships by logistic regression analysis.

Development of EDI Model in the Port and Logistics Industries (항만물류산업에서 업체별 EDI 활성화 모형개발)

  • Shin, Chang-Hoon;Kim, Yul-Sung;Song, Jae-Young
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.29 no.1
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    • pp.369-375
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    • 2005
  • The rapid growth of economy in china leads to concentrate throughput volume of World to North East Asia. Ports in North East Asia have to cope with rapid changes in environments. In order for a port to compete in the global market, it must provide proper productivity and promptly services of port. The system of information hold a key in port-logistic industries. Most ports make every effort to set up and operate the system of Information. Busan port already set up the system of port-logistic information such as Port-Mis, KROIS. But it is not activate yet because of problems of security and certification and so on. The purpose of this paper is to make Model which can activate the system of port-logistic information. In addition to, We suggest definite and feasible model by group and types of port-logistic industry.

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A Statistical Analysis of Professional Baseball Team Data: The Case of the Lotte Giants

  • Cho, Young-Seuk;Han, Jun-Tae;Park, Chan-Keun;Heo, Tae-Young
    • The Korean Journal of Applied Statistics
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    • v.23 no.6
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    • pp.1191-1199
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    • 2010
  • Knowing what factors into a player's ability to affect the outcome of a sports game is crucial. This knowledge helps determine the relative degree of contribution by each team member as well as sets appropriate annual salaries. This study uses statistical analysis to investigate how much the outcome of a professional baseball game is influenced by the records of individual players. We used the Lotte Giants' data on 252 games played between 2007 and 2008 that included environmental data(home or away games and opponents) as well as pitchers' and batters' data. Using a SAS Enterprise Miner, we performed a logistic regression analysis and decision tree analysis on the data. The results obtained through the two analytic methods are compared and discussed.

Probabilistic estimates of corrosion rate of fuel tank structures of aging bulk carriers

  • Ivosevic, Spiro;Mestrovic, Romeo;Kovac, Natasa
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.1
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    • pp.165-177
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    • 2019
  • This paper considers corrosion wastage of two ship hull structure members as a part of investigated fuel oil tanks of 25 aging bulk carriers. Taking into account that many factors which influence corrosion wastage of ship hull structures are of uncertain nature, the related corrosion rate ($c_1$) is considered here as a real-valued continuous distribution, assuming that the corrosion wastage starts after 5, 6 or 7 years. In all considered cases, by using available data and applying three basic statistical tests, it is established that between two-parameter continuous distributions, normal, Weibull and logistic distributions are best fitted distributions for the mentioned corrosion rate ($c_1$). Note that the presented statistical, numerical and graphical results concerning two mentioned ship hull structure members allow to compare and discuss the corresponding probabilistic estimates for the corrosion rate ($c_1$).

A Study on the Relocation of Logistics Center for improving the Logistics Efficiency (물류센터 재배치를 통한 물류효율화에 관한 연구)

  • Sung, Yong-Tae;Kim, Jin-Joo;Kim, Hwan-Seong
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.213-214
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    • 2016
  • Based on the efficient supply chain management which will be derived the customer satisfaction, the developing strategies about the scale and location of distribution center(DC) is a very important decision factors to improve the logistics cost efficiency. To do this, we will analyze the conventional DCs' location and cost which belongs to 'D' grocery company operating in Korea and propose the useful way for relocating and establishing DC in company to satisfy the reduction target of logistics cost.

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Estimating Suitable Probability Distribution Function for Multimodal Traffic Distribution Function

  • Yoo, Sang-Lok;Jeong, Jae-Yong;Yim, Jeong-Bin
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.21 no.3
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    • pp.253-258
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    • 2015
  • The purpose of this study is to find suitable probability distribution function of complex distribution data like multimodal. Normal distribution is broadly used to assume probability distribution function. However, complex distribution data like multimodal are very hard to be estimated by using normal distribution function only, and there might be errors when other distribution functions including normal distribution function are used. In this study, we experimented to find fit probability distribution function in multimodal area, by using AIS(Automatic Identification System) observation data gathered in Mokpo port for a year of 2013. By using chi-squared statistic, gaussian mixture model(GMM) is the fittest model rather than other distribution functions, such as extreme value, generalized extreme value, logistic, and normal distribution. GMM was found to the fit model regard to multimodal data of maritime traffic flow distribution. Probability density function for collision probability and traffic flow distribution will be calculated much precisely in the future.

A Study on the Factor Analysis of the Encounter Data in the Maritime Traffic Environment (해상교통 조우데이터 요인분석에 관한 연구)

  • Kim, Kwang-Il;Jeong, Jung Sik;Park, Gyei-Kark
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.3
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    • pp.293-298
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    • 2015
  • The vessel encounter data collected from the vessel trajectories in the maritime traffic situation is possible to analyze vessel collision and near-collision risk using statistical method. In this study, analyzing variables extracted from the vessel encounter data using factor analysis, we determine main factors effecting vessel collision risk from vessel encounter data. In order to calculate each factor, it used principal component analysis for factor analysis after normalization and standardization of vessel encounter variables. As a result of the factor analysis, main effect factors are summarized into the vessel approach factor and collision avoidance variance factor.

A Study on the Status and Revitalization of Ocean Education in Busan (부산지역 해양교육 현황 및 활성화 방안에 관한 연구)

  • Jeong, Woo-Lee;Moon, Sung-Bae;Jun, Seung-Hwan;Kim, Tae-Gyun;Choi, Jeong-Ho
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2012.06a
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    • pp.125-126
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    • 2012
  • Busan Metropolitan City is the 3rd Marine City, which has the largest Container port facility and logistic system in the world. However, Busan Citizen's maritime consciousness does not reach that level. This study figures out the problems, and suggests the revitalization of Ocean Education in Busan. This is for the revitalization of the reputation as a Marine City Busan, construction the hydrophil culture and propagation of ocean culture.

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