• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.38 no.4
• /
• pp.202-211
• /
• 2015

Companies build the factory automation system to improve management effectiveness and productivity as prime strategies for sustainable growth. But most companies undergo various trials and errors while carrying out the project without elaborate preparation stage for factory automation. In this study, we tried to verify what factors are critical to effectively building distribution automation system, which is a branch of factory automation system. A consulting model for setting up a Material Handling Automation System by utilizing the Stage-Gate Process, which is product development process was studied. 29 material handling automation projects carried out between the year 1990 to 2013 at K-Company were selected. Interviews with the project managers, operators and maintenance personnels, various records and current status of the projects were used as data for structural equations based on the Milan consulting model and existing researches of factory automation, CIM for material handling automation. Creating effective basis of production, material handling system and energy saving system with expert review, when preparing a material handling automation project, help promote the project planning thus contributing to the performance of the resulting system, which appears though rather weakly in our data. Also the effect of material handling automation can be enhanced through sufficient and effective links to the relevant environments such as production logistics management and automated warehouses. More detailed planning characteristics of project promotion or some time-series data of effective Material Handling Automation System could enhace furthur studies. We propose a consulting model for setting up an efficient material handling automation system.

• Journal of the Korean Society of Marine Environment & Safety
• /
• v.27 no.2
• /
• pp.286-294
• /
• 2021

The International Maritime Organization (IMO) has been seeking measures to prevent climate change caused by shipping and actively discussing the initial strategy of reducing ship greenhouse gas emissions adopted in 2018. Member states are proposing various reduction measures in the IMO's 5th International Working Group on the Reduction of Greenhouse-gas emissions. However, each member country's method of measuring impact assessment differs, making it impossible to objectively compare impact assessment by country. As such, various measures have been proposed by each country to reduce greenhouse gas emissions, and it is necessary to determine a standard impact assessment measurement method that can be applied to all countries before 2023, when IMO's greenhouse gas reduction strategy is implemented. Therefore, this study seeks to develop detailed guidelines for impact assessment to objectively compare the impact assessment results of ships' greenhouse gas reduction measures. Drawing detailed guidelines that can compare the effectiveness of each country's reduction strategies will enable the IMO leading marine environment GHG reduction.

• The Journal of shipping and logistics
• /
• v.34 no.4
• /
• pp.527-544
• /
• 2018

In this study, SNA analysis was conducted to examine changes in passenger movements in domestic coastal shipping. The validity of derivation of centrality rankings was enhanced by using the connection centrality that reflected weights, which had not been applied in previous research. The results of the connection centrality analysis indicated that the network composition ratio of the South Sea region was high, and the results of analysis of betweenness centrality indicated that ports belonging to the South Sea region recorded high ranks. Jeju Island, which acts as a gateway to the West Sea and the South Sea, Mokpo, which acts as a gateway between the land and islands, those ports that are geographically close to the land, and those ports that are smoothly connected to small ports, were shown to have betweenness centrality. Meanwhile, in the results of analysis of eigenvector centrality, not only ports in the South Sea region but also many ports in the West Sea region were included in the high ranked ones. Using these results, the port authority can identify major ports in domestic coastal shipping, determine the priorities support, identify the current situation of the port connection relations, and establish strategies for management of key development areas. As future studies, studies in the aspect of economy that separate general passengers and island passengers and utilize data such as fares, distances, and time are necessary.

• The Journal of The Korea Institute of Intelligent Transport Systems
• /
• v.21 no.2
• /
• pp.183-200
• /
• 2022

A variety of simulation approaches based on automated driving technologies have been proposed to develop traffic operations strategies to prevent traffic crashes and alleviate congestion. The maneuver of simulated autonomous vehicles (AVs) needs to be realistic and be effectively differentiated from the behavior of manually driven vehicles (MVs). However, the verification of simulated AV maneuvers is limited due to the difficulty in collecting actual AVs trajectory and interaction data with MVs. The purpose of this study is to develop a methodology to evaluate the suitability of AV maneuvers based on both driving and traffic simulation experiments. The proposed evaluation framework includes the requirements for the behavior of individual AVs and the traffic stream performance resulting from the interactions with surrounding vehicles. A driving simulation approach is adopted to evaluate the feasibility of maneuvering of individual AVs. Meanwhile, traffic simulations are used to evaluate whether the impact of AVs on the performance of traffic stream is reasonable. The outcome of this study is expected to be used as a fundamental for the design and evaluation of transportation systems using automated driving technologies.

• Korea Trade Review
• /
• v.42 no.1
• /
• pp.283-301
• /
• 2017

As a consequence of the changed role and functions in port operations, the role of port hinterland has transformed to multi-functional logistic centre linking more efficiently elements of the supply chain. This paper analysed distribution centre selection factors in Busan new port hinterland, aiming to diagnose and evaluate the operational situations of port hinterland as multi-functional logistics centre. Based on a data collected from all 122 samples located in Busan new port hinterland, determinants for location competitiveness identified were: political support, market potentiality, infrastructure utilization, market niche, and connectivity. Comparing the difference between an importance and performance, it is revealed that the target port hinterland requires urgent improvement in political supports such as incentive programmes offered by host country, free trade system and related law, financial assistance in constructing distribution centers, and simplicity, ease and efficiency of administrative procedures. The results provide useful insights for establishing future improvement strategies and a strategic agenda to successfully respond to the demands of the companies located in port hinterlands and/or new customers those who want to move in.

• Journal of Internet of Things and Convergence
• /
• v.10 no.1
• /
• pp.39-45
• /
• 2024

Container volume is a very important factor in accurate evaluation of port performance, and accurate prediction of effective port development and operation strategies is essential. However, it is difficult to improve the accuracy of container volume prediction due to rapid changes in the marine industry. To solve this problem, it is necessary to analyze the impact on port performance using the Internet of Things (IoT) and apply it to improve the competitiveness and efficiency of Busan Port. Therefore, this study aims to develop a prediction model for predicting the future container volume of Busan Port, and through this, focuses on improving port productivity and making improved decision-making by port management agencies. In order to predict port container volume, this study introduced the Extreme Gradient Boosting (XGBoost) technique of a machine learning model. XGBoost stands out of its higher accuracy, faster learning and prediction than other algorithms, preventing overfitting, along with providing Feature Importance. Especially, XGBoost can be used directly for regression predictive modelling, which helps improve the accuracy of the volume prediction model presented in previous studies. Through this, this study can accurately and reliably predict container volume by the proposed method with a 4.3% MAPE (Mean absolute percentage error) value, highlighting its high forecasting accuracy. It is believed that the accuracy of Busan container volume can be increased through the methodology presented in this study.

• Journal of Korea Port Economic Association
• /
• v.25 no.1
• /
• pp.63-86
• /
• 2009

With increasing uncertainty of energy market in the world, the policies for the energy resource security have become crucial Several countries with poor energy resource like Netherlands and Singapore have pursued the policy for becoming an oil hub in the region. Singapore has been an oil hub in East Asia for a long time not only because it is well located with a large number of countries exporting and importing oil but it has also pursued strong policies to become an oil hub while establishing favourable institutional, regulatory and business environment for accommodating major refineries and petro-chemical companies. However with growing trading volume of petroleum products in Northeast Asia and a record high price of oil in these days, the necessities of another oil hub in the region are considered in order to reap benefits of the security of economical and stable oil. South Korea is situated astride the main North Pacific shipping route, with deep water ports and proximity to Chinese and Japanese industrial centres that make tank terminal operators Ideal choices for the oil hub in Northeast Asia although it has several disadvantages such as lack of independent storage facilities, underdeveloped oil trading market and unfavourable business friendly climates etc. This study is focused on examining the globalization strategies of tank terminal operators such as Vopak, Oiltanking and Odfjell in order to suggest the policy implications for becoming an oil tub in Northeast Asia.

• Journal of Korea Port Economic Association
• /
• v.25 no.3
• /
• pp.183-206
• /
• 2009

The purpose of this study is to suggest the new strategies for strengthening the competi tiveness of Incheon port. To measure the calling factors and satisfaction of ports, this study developed a list of 24 items using a seven-point Likert scale through the previous literature reviews, pilot test and emerging factors. Factor analysis, regression analysis, one sample T-test, IPA and SPSS were conducted to verify the determinants choosing ports and customer satisfaction. The result of an empirical study revealed that the cargo volume and information system, etc. in Incheon port was evaluated as satisfied factors and berth availability and port charge, etc. as dissatisfied factors. Based on the outcomes of this study, to strengthen the competitiveness of Incheon port, several strategies were advised such as the inducement of North American and European cargo, port infrastructure, dedicated terminal and GTO inducement, hinterland construction, logistics companies inducement and cooperation with neighboring ports.

• International Commerce and Information Review
• /
• v.12 no.1
• /
• pp.3-33
• /
• 2010

Paperless trade is a new trade paradigm that has innovated on traditional trade procedures, which relied on manual work in the past, and applied an IT-based e-document standard. To realize paperless trade in Korea, a lot of efforts have been made. Korea has overcome many difficulties, a lack of awareness, trials and errors, etc. at the initial introduction stage and strived to establish a stable infrastructure through the government's policy support and active cooperation with the trade business communities and related organizations. Now, Korea became a well-known leader in IT industry, especially in the paperless trade infrastructure and strategic policies. The one-stop trading system named 'uTradeHub' is operated by a paperless trade service provider, Korea Trade Network(KTNET). uTradeHub includes trade finance and settlement, customs clearance and export and import logistics, improving trading procedures and reducing related expenses. Private-Public joint efforts from Korean government and private sectors which have respectively fulfilled their role and function with market-oriented practical policies and strategies has lead Korea a world leading country in paperless trade. Moreover, Korea expended its efforts to the global areas. Korea has started to activate multi-national paperless trade alliances such as PAA(Pan-Asia e-Commerce Alliance), ASEAL(Asia Europe Alliance for Paperless Trading) as well as established the bilateral cooperative networks with China and Taiwan. The one-stop trading system, uTradeHub should keep close cooperations between nations since trade itself is implemented in a cross-border ways. In the near future, it is expected uTradeHub can achieve best results in the simplification of procedures and cost savings when an international linkage is completely established with international cooperations.

• Journal of Korean Society of Transportation
• /
• v.26 no.2
• /
• pp.157-166
• /
• 2008

This study proposed a model to estimate traffic accident likelihood using real-time traffic data obtained from freeway traffic surveillance systems. Traffic variables representing spatio-temporal variations of traffic conditions were utilized as independent variables in the proposed models. Binary logistics regression modelings were conducted to correlate traffic variables and accident data that were collected from the Seohaean freeway during recent three years, from 2004 to 2006. To apply more reliable traffic variables, outlier filtering and data imputation were also performed. The outcomes of the model that are actually probabilistic measures of accident occurrence would be effectively utilized not only in designing warning information systems but also in evaluating the effectiveness of various traffic operations strategies in terms of traffic safety.