• Journal of the Korean Institute of Navigation
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• v.22 no.2
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• pp.65-79
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• 1998

The purpose of this study was to explorei the nature of the relationship between several factors representing shipping service quality enumerated in the service marketing literature and the adaptability to the marketing strategy of container shipping firm. An empirical study was carried out to examine not only the determinants of shipping service quality but also ists implications to the service marketing strategy. The data investigating the deteminants of shipping service quality were collected from Korean Multimodal Company , Shipping Freight Forwarders. Exploratory Factor analysis was carried out to analyze the data.

• Journal of Navigation and Port Research
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• v.33 no.8
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• pp.595-602
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• 2009

The aim of this study is to identify the difference of the customer satisfaction before and after establishment of Busan Port Authority with focus on container terminals in Busan Port. As a result, the customer satisfaction varies according to customer types, and it has been changed followed by container port environment. Therefore suitable strategies have to establish, i.e. berth number for large shipping company, connectivity for feeder company, and activity of customer attraction for terminal operating company.

• Journal of Navigation and Port Research
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• v.48 no.1
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• pp.62-77
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• 2024

In the maritime shipping industry, imbalance between supply and demand has persistently increased, leading to the utilization of blank sailings by major shipping companies worldwide as a key means of flexibly adjusting vessel capacity in response to shipping market conditions. Traditionally, blank sailings have been frequently implemented around the Chinese New Year period. However, due to unique circumstances such as the global pandemic starting in 2020 and trade tensions between the United States and China, shipping companies have recently conducted larger-scale blank sailings compared to the past. As blank sailings directly impact freight transport delays, they can have negative repercussions from perspectives of both businesses and consumers. Therefore, this study employed Poisson regression models and negative binomial regression models to analyze the influence of maritime freight rate determinants on shipping companies' decisions regarding blank sailings, aiming to proactively address potential consequences. Results of the analysis indicated that, in Poisson regression analysis for 2M, significant variables included global container shipping volume, container vessel capacity, container ship scrapping volume, container ship newbuilding index, and OECD inflation. In negative binomial regression analysis, ocean alliance showed significance with global container shipping volume and container ship order volume, the alliance with container ship capacity and interest rates, non-alliance with international oil prices, global supply chain pressure index, container ship capacity, OECD inflation, and total alliance with container ship capacity and interest rates.

• Journal of Korea Port Economic Association
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• v.25 no.3
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• pp.321-338
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• 2009

This study looks at the reasons behind the termination of container transportation between Busan and Incheon in terms of costs structure, the division of profit, and the economic limitation faced in the domestic shipping market. The operation costs have been examined in relation to the components of logistic system of container shipping and the cost function has been estimated. The distribution proportion of operation revenue has been also investigated, considering the different components of logistics activities. In addition, the average revenue of container vessels of 144TEU and 215TEU has been calculated. Economic limitation can be analysed through the optimisation behaviour of shipping companies which tries to maximize profit or minimize loss. In conclusion, domestic short sea shipping can get the economy of scale only by transporting vessels' maximum capacity. It is also vulnerable to trucking market's fluctuation. Without the subsidy for operation, the liner in domestic short sea shipping will stop the service in order to minimize the loss.

• KIPS Transactions on Software and Data Engineering
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• v.2 no.6
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• pp.403-412
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• 2013

This study figures out the concepts of container transport, logistical cost and the distribution of a company through studying documents, and to suggest logistical cost reduction approach, focused on the efficiency of transport which occupied the considerable portion of the total logistical cost of the company. We analyze and discuss the container loading of multiple items for multiple places of departure and arrival through a case study on S company in South Korea. We suggest a direction to reduce the logistical cost of the companies, analyzing the conditions of multiple items loading, and rule-based systems including an algorithm which determines container-loading for minimum freight expenses. We use data mining and OLAP tools of MS Analysis Services to produce loading rules for multiple items loading and generate OLAP cube and decision trees to validate the rules.

• The Journal of shipping and logistics
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• v.27 no.4
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• pp.719-746
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• 2011

This study attempted to analyse the results of investments from each individual ship investment company(SIC) in Korea which is operating under its ship investment company system. We analyzed investment result of ship investment company by means of Market Adjusted Return Method for measurement of abnormal return(AR) and cumulative abnormal return(CAR). Some implications from the results of this study are suggested. First, we find that the initial abnormal return of IPO, 30-day CAR and long-term CAR are not significantly different between A and B shipping fund management company. And then, the initial abnormal return of IPO and long-term CAR are not significantly different between newbuilding and secondhand ship SIC. But the 30-day CAR is significantly different between newbuilding and secondhand vessel SIC. Third, the 30-day CAR and long-term CAR are not significantly different between newbuilding and secondhand vessel SIC. But the 30-day AR is not significantly different between container and non-container ship SIC. Finally, newbuilding ship SCI is more stable than secondhand vessel SIC, and container ship SIC is more stable than non-container ship SIC in 3-month cumulative return over the past two and half years, from February 2008 to July 2011.

• Journal of Fisheries and Marine Sciences Education
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• v.27 no.2
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• pp.441-451
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• 2015

The one-year onboard training, which has been implemented since 1988 according to the STCW Convention in 1978, is a crucial part of cadets' training and education. The choice of training shipping company is important that like a internship. This basic study is for the satisfaction at the shipping companies that trains cadets the Mokpo National Maritime University. The satisfaction for onboard training consists of a conscious, educational and environmental parts with six demographic characteristics and carried out the questionnaire survey of 206 cadets in shipping companies. The low parts of satisfaction are implemented cross tabulation analysis and in-depth interview for realize the reason. In this paper, the satisfaction from environmental part($3.83{\pm}0.75$) is high but conscious part($3.35{\pm}0.86$) and educational part($3.33{\pm}0.79$) are low. In demographic characteristics, male in gender, apprentice officer in duty, others in kind of crew, container in kind of vessel and 30,000~100,000 tons in size of vessel are high satisfaction in general. Specifically, feeding service($4.02{\pm}0.75$) in environment, influence on future vision($3.65{\pm}0.84$) in consciousness, goal for training($3.50{\pm}0.65$) in education showed the highest level in satisfaction.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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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.

• 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.

• Journal of the Society of Naval Architects of Korea
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• v.46 no.5
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• pp.520-526
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• 2009

Efficient stowage plan is required for handling large number of containers in a container terminal. Before a ship enters port, most of container terminals prepare a stowage plan based on information received from the shipping company. If this information does not have the accurate information of containers in the vessel, the stowage plan might be often changed or sometimes it becomes useless. In order to avoid this problem, we apply RFID system in the container ship and we propose a framework for communication between ships and terminals using RFID and Web Services technology.