• Journal of Korea Port Economic Association
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• v.30 no.4
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• pp.219-254
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• 2014

Due to the recent development of globalization and supply chain management, growth of international trade has led to increasing cargo volume around the world. Since maritime logistics environments have changed, increased container ship size, improvement of harbor equipment, global port operation and rapid technological development have had an significant effects on shipping and port industry, which is contributing to competitiveness of port. Since a larger volume of port throughputs are generally regarded as an indicator of the more competitive port, inefficient port operation could reduce its competitiveness. On the other hand, high efficient ports could increase their competitive power while increasing cargo volume. This study aims at comparing competitiveness of the ports in the Northeast Asia by investigating changes of container throughputs and evaluating efficiency performance of ports. Shift-Share analysis and Data Envelopment Analysis(DEA) have been conducted with 21 Northeast Asian ports and then separated them into 4 groups for comparative analysis to identify competitive position of each port. The results of this study show that Incheon and Gwangyang port have been decreased container cargo volume, while volume of Busan port would increase by means of active marketing, various route development and incentive policy for the port.

• Journal of Navigation and Port Research
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• v.39 no.6
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• pp.499-506
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• 2015

To analyze the port choice hierarchy, factorial and AHP analysis were conducted based on the survey for shippers using west coastal ports. As the result of analysis with 17 factors, 6 main factors; port service, port operation and geographical condition, connectivity to hinterland, port cost, accessibility and facilities were chosen. Based on this, AHP and correlation analysis of each factor were conducted. And the results were shown as cost, service, facility, connectivity, accessibility and operation in order. In addition, several ways for incentive program, the most important factor based on AHP analysis, to influence shippers around west coastal port were reviewed. As the result of review for the incentive program of domestic container ports, it was shown that three ports, Gun-san, Dae-san and Mok-po, offer incentive to shipper while two ports, Pyeong-tak and Dang-jin, do not. Therefore, the former three ports need to reinforce the existing incentive program while the latter ones introduce it.

• The Journal of Information Systems
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• v.31 no.3
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• pp.177-195
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• 2022

Purpose This paper aims to prepare a full operational readiness by establishing an optimal flight plan considering the weather conditions in order to effectively perform the mission and operation of military aircraft. This paper suggests a flight prediction model and rules by analyzing the correlation between flight implementation and cancellation according to weather conditions by using big data collected from historical flight information of military aircraft supplied by Korean manufacturers and meteorological information from the Korea Meteorological Administration. In addition, by deriving flight rules according to weather information, it was possible to discover an efficient flight schedule establishment method in consideration of weather information. Design/methodology/approach This study is an analytic study using data mining techniques based on flight historical data of 44,558 flights of military aircraft accumulated by the Republic of Korea Air Force for a total of 36 months from January 2013 to December 2015 and meteorological information provided by the Korea Meteorological Administration. Four steps were taken to develop optimal flight prediction models and to derive rules for flight implementation and cancellation. First, a total of 10 independent variables and one dependent variable were used to develop the optimal model for flight implementation according to weather condition. Second, optimal flight prediction models were derived using algorithms such as logistics regression, Adaboost, KNN, Random forest and LightGBM, which are data mining techniques. Third, we collected the opinions of military aircraft pilots who have more than 25 years experience and evaluated importance level about independent variables using Python heatmap to develop flight implementation and cancellation rules according to weather conditions. Finally, the decision tree model was constructed, and the flight rules were derived to see how the weather conditions at each airport affect the implementation and cancellation of the flight. Findings Based on historical flight information of military aircraft and weather information of flight zone. We developed flight prediction model using data mining techniques. As a result of optimal flight prediction model development for each airbase, it was confirmed that the LightGBM algorithm had the best prediction rate in terms of recall rate. Each flight rules were checked according to the weather condition, and it was confirmed that precipitation, humidity, and the total cloud had a significant effect on flight cancellation. Whereas, the effect of visibility was found to be relatively insignificant. When a flight schedule was established, the rules will provide some insight to decide flight training more systematically and effectively.

• The Journal of Bigdata
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• v.6 no.2
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• pp.17-28
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• 2021

Current development of technologies related to 4^th industrial revolution and the pandemic of COVID-19 lead the rapid expansion of e-marketplace. The level of competition among several companies gets increased by introducing different strategies. To cope with the current change in the market and satisfy the customers who request the better delivery service, the new concept, fulfillment, has been introduced. It makes the leadtime of process from order picking to delivery reduced and the efficiency improved. Still, the efficiency of operation in fulfillment centers constrains the service level of the entire delivery process. In order to solve this problem, several different approaches for demand forecasting and coordinating supplies using Bigdata, IoT and AI, which there exists the trivial limitations. Because it requires the most lead time for operation and leads the inefficiency the process from picking to packing the ordered items, the logistics service providers should try to automate this procedure. In this research, it has been proposed to develop the efficient plans to automate the process to move the ordered items from the location where it stores to stage for packing using AGV and AMR. The efficiency of automated devices depends on the number of items and total number of devices based on the demand. Therefore, the result of simulation based on several different scenarios has been analyzed. From the result of simulation, it is possible to identify the several factors which should be concerned for introducing the automated devices in the fulfillment centers. Also, it can be referred to make the optimal decisions based on the efficiency metrics.

• Journal of Korean Society of Transportation
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• v.33 no.4
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• pp.379-392
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• 2015

Freight flow data in Korea has been collected for a variety of purposes by various organizations. However, since the representation and format of the data varies, it has not been substantially used for freight analyses and furthermore for freight policies. In order to increase the applicability of those data sets, it is required to bring them in a table and compare for finding the differences. Then, it is shown that the raw data can be aggregated by a particular criterion such as mode, origin and destination, and type commodity. This study aims to examine the freight data issue in terms of three different points of view. First, we investigated various freight volume data sets which are released by several organizations. Second, we tried to develop formulations for freight volume data. Third, we discussed how to apply the formulations to network models in which particular OR (Operations Research) techniques are used. The results emphasized that some data might be useless for modeling once they are aggregated. As a result of examining the freight volume data, this study found that 14 organizations share their data sets at various aggregation levels. This study is not an ordinary research article, which normally includes data analysis, because it seems to be impossible to conduct extensive case studies. The reason is that the data dealt in this study are diverse. Nevertheless, this study might guide the research direction in the freight transport research society in terms of data issue. Especially, it can be concluded that this study is a timely research because the governmemt has emphasized the importance of sharing data to public throughout 'government 3.0' for research purpose.

• Korean Journal of Heritage: History & Science
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• v.41 no.1
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• pp.35-55
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• 2008

This paper is written to results of excavated ChungJu ChangDong site located in ChungJu and the article Keumcheonchang in Joseonwangjosilrok. The structure rerics of compositing cornerstone-distance 420cm has been showing to Keumcheonchang of legend in region people. The solution to problems is that the enforcement of the river-shipping service linking Han River and NakDong River. King Taejong commanded the new tax-warehouse of 200 Kan to built at Keumcheon in ChungJu and named Keumcheonchang for the receipt of innner region and KyengSang Province. King Sejo established the foundation of the government owned tax-grain transportation systerm for the strong centralization by the sovereign right. This logistic system is gone the middle and the latter of Joseon Dynasty. Joseon Dynasty is absolutely dependent the national finance for government operation on the tax-grain from HaSamDo(ChungCheong JeonLa KyengSang) region. JoUn(tax-grain transportation by shipping) is the best logistic system in Korea surrounding sea. Joseon Dynasty has refomed the logistics base on GoRyeo's system that the Tax-grain transportation system by shipping. There is the tax-warehouses reducing from 13 numbers to 9 numbers and making up for the weak points in the matter of the Japanese Pirate and the ship wreck in transporting in the sea. The ship wreck in the sea specially make the matters of the reducing tax and political issues. We know that Keumcheonchang is operated ChuaSuCham(the government agency for taxgrain transportation by shipping at a warehouse) from King Taejong 11(1,411)year to King Sejo 11 (1,465)year. There is the result of enforcement the river-shipping service system for social stabilization and forward their new ideal in the first half Joseon Dynasty.

• Journal of Korea Port Economic Association
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• v.39 no.1
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• pp.131-147
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• 2023

Gwangyang Port Marine Industry Cluster is the only marine industry cluster in Korea that is currently in operation, but despite the implementation of various revitalization policies since its opening, the occupancy rate has been low so far. Accordingly, this study aims to identify the constraints of the current system that hinder the inducement of tenant companies and to suggest revitalization measures. For this purpose, this study analyzed the current status of research and development(R&D) projects in the port, shipping and logistics sector, which is a core industry of the Gwangyang Port Marine Industry Cluster. And a survey was conducted on companies with potential to move in. As a result, the proportion of R&D in the core industry sectors is lower than in other sectors, and most of R&D projects are being carried out mainly by small and medium-sized enterprises. In addition, the low need for port facilities and low accessibility to Gwangyang Port were derived as constraints. Considering the results, this study suggests four revitalization measures to induce tenant companies as follows. First, it is necessary to expand the scope of core industries from the current shipping, ports, and logistics to the entire maritime and fisheries, so that companies performing R&D in the industry can move in. Second, the industry code currently specified as a qualification need to be revised to include both the industry of the enterprise carrying out R&D projects and the core industry. Therefore, this study suggests an expanded industry code list that can replace current list. Third, a transition of tenant recruitment system from the regular system(once or twice a year) to the occasional system is proposed so that companies can move in flexibly when demand arises. Finally, in order to overcome geographically low accessibility, technology development support projects specialized in R&D that prospective tenant companies actually need are needed rather than financial support.

• Journal of Digital Convergence
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• v.11 no.12
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• pp.61-67
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• 2013

The B2B e-commerce assurance system supports e-commerce purchases by Credit Guarantee Fund. This process seeks to replace a variety of current systems, including B2C, the credit card payment method on B2B, 2001 Credit Guarantee Fund and the Bank, logistics, e-MP (Market Place), and Business-to-business e-MP (business-to-business electronic payment settlement system). Over the past 10 years of its operation, the e-MP service (B2B e-commerce electronic payment systems) has contributed much to the growth of SMEs. The development of business-to-business e-commerce transactions systems and limits have provided a stable purchasing platform, improving corporate competitiveness. However. the project-based scale of credit guarantee institutions has limitations. To overcome these limitations, we propose a new model of direct or indirect government support for small business e-MP projects. This new model will support the B2B electronic commerce by allowing it to directly involve guarantee institutions directly in B2B online transactions. Therefore, this study urges government backing of the SME based B2B online business model with e-MP service.

• Journal of the Korea Society of Computer and Information
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• v.25 no.1
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• pp.141-149
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• 2020

The proportion of commercial vehicles currently used by the private sector among the vehicles operated by the military is very high at 58% and plans to increase further in the future. As the proportion of commercial vehicles in the military has increased, it is also an important issue to determine whether to disuse of commercial vehicles. At present, the decision of disuse of commercial vehicles is subjectively judged by vehicle technical inspector using design life and vehicle usage information. However, the difference according to the military operation environment is not reflected and objective judgment criteria are not presented. The purpose of this study is to develop a model to determine the disuse status of commercial vehicles in consideration of military operating environment. The data used in the study were 1,746 commercial vehicles of three types: cars, vans and trucks. Using the information of the operating area, climate characteristic, vehicle condition the decision model of disuse status was constructed using the classification machine learning technique. The proposed decision model of disuse status has an average accuracy of about 97% and can be used in the field. Based on the results of the study, the policy suggestions were proposed in the short and long term to improve the performance of decision model of disuse status of commercial vehicles in the future and to establish a new data construction method within the logistics information system.

• Journal of the Korean Society for Railway
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• v.20 no.1
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• pp.128-141
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• 2017

This paper analyzes the under-researched field of the characteristics of th Chosun private railway, such as laws, systems, human resources, and subsidies associated with this railway, in an effort to increase our understanding of these characteristics. It was found that the private railway shared strong identity resemblance with a national project, as it served to assist the roles of the main national railway. General patterns of change of the company indicate that the private railway received increased subsidies consequent to the amendment of a related law and that it was strongly influenced by Japan's railway policies. The private railway system during the Chosun period more subsidies than those administered by Japan, and they tended to depend on fund raising for external capital. A tendency of many board members to be from the Chosun bureau was also noted. Profits in the private railway system were relatively low compared to those of the national railway such that the deficits were supplemented by the subsidies redeived. Based on corroborating examples, the private railway system can be said to have been an organization that had strong connections with national projects. It was especially related to regional industries according to an examination of the distribution of lines, which shows that most assisted the main railway or coincided with regions undergoing industrial development. Typically, northern areas were for resource development while southern areas were for agricultural production and/or passenger transportation. The company carried dual traits as it operated as a subsidiary enterprise for peripheral profit while also playing a role in transportation.