• Journal of the Korean Association of Geographic Information Studies
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• v.8 no.2
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• pp.166-174
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• 2005

Plan of Logistics facility and Management of Freight trucks need for Efficient Improvement of Urban Goods Movement. For this, it need to clear flow pattern of Freight volumes and Freight trucks on urban space. Therefor, The purpose of this study is to clear space flow pattern of Freight volumes and Freight trucks as base data for Plan of Urban Goods Movement on Incheon city. Incheon city is selected because it is at sea & air ports and carries out various Activity of Urban Goods Movement. As the result of this study, it understands and analyzes Characteristic on flow pattern of Freight volumes and Freight trucks. Through this study, we'll expect that this results could be contributed in the understand of actual conditions of Freight volume and freight trucks and the basic data for Improvement of urban goods movement and the management policy of freight trucks in urban goods movement.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.1
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• pp.248-254
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• 2011

As the demands of island tourism increasing, the importance of information is considered the key success factor of island tourism. This study suggest the several factors that affecting in island tourism based on the previous studies of tourism research domain. the Important Performance Analysis(IPA) that has much popularity in tourism research is used to evaluate the information characteristic and priority of island tourism in university students of Korea. Based on the result of this study, the information of the natural landscape/scenery and the sightseeing related activity have less priority than the facilities and local foodstuff of the specific island. Considering the aspects and levels of currently serviced island tourism information, differentiated information that including the facilities and local foodstuff of island have reasonable priority for establishing effective and efficient island tourism strategy.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.53-62
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• 2020

The maritime and port logistics industry is closely related to global trade and economic activity, especially for Korea, which is highly dependent on trade. As the largest port in Korea, Busan Port processes 75% of the country's container cargo; the port is therefore extremely important in terms of the country's national competitiveness. Port container cargo volume forecasts influence port development and operation strategies, and therefore require a high level of accuracy. However, due to unexpected and sudden changes in the port and maritime transportation industry, it is difficult to increase the accuracy of container volume forecasting using existing time series models. Among deep learning models, this study uses the LSTM model to enhance the accuracy of container cargo volume forecasting for Busan Port. To evaluate the model's performance, the forecasting accuracies of the SARIMA and LSTM models are compared. The findings reveal that the forecasting accuracy of the LSTM model is higher than that of the SARIMA model, confirming that the forecasted figures fully reflect the actual measurement figures.

• Journal of Korea Port Economic Association
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• v.30 no.3
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• pp.15-37
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• 2014

Sustainability is a broad concept involving economic, social and environmental issues in operational and managerial processes. To assist ports to implant sustainability practices into their operations, this paper conceptualizes the structure of sustainability practice in port operations, based on interviews undertaken at Busan port in early 2013. Results revealed that, as a strategic practice to improve their internal business processes, sustainability practices necessitate the simultaneous pursuit of container traffic growth, low environmental impacts and corporate responsible image making, operational efficiency, efficiency of the use of the port area and sustainable growth. Through thematic analysis, the relevant practices were clustered into four sub-dimensions incorporating environmental technologies, continual monitoring and upgrading, internal process improvement, and cooperation and communication. Further, reporting the relevant issues such as barriers and challenges in carrying out sustainability practices, the findings provide useful insights for strategic agenda to assist ports to incorporate sustainability practices in their operations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.10 no.6
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• pp.1337-1345
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• 2009

In the railway, the delay of a train may affect the schedule of other trains. Hence, the timetable management activity involving overtaking and transferring becomes an important issue. The timetable rescheduling is the conflict resolution of the disrupted schedule and a matter of deciding the sequence of moves among trains and the place for meeting. In Korea, there are few cases where operations research models were applied to railway timetable rescheduling problem in consideration of the transfer between Korea Train eXpress (KTX) trains and conventional trains. Hence, we present a mathematical approach that can minimize the total delay of the whole trains secondly. We applied the model to the exemplary section of a double-line track, the Gyung-Boo Line, and it is confirmed that the mathematical model could effectively address the transfer service as well as the complicated railway conflicts of Gyung-Boo Line.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.2
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• pp.286-297
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• 2005

Recently, due to the gloalization of the industry environment and the consequent multi-national companies led by industrialized countries, fashion companies of newly industrialized countries are pursuing to globalize their businesses. This study conducted to review the global configuration of activities of the added value chain, the strategies to enhance global competitiveness, and global performance of value activities of Korean fashion companies. The data were collected from the survey by questionnaire on Korean fashion companies. The methods of analysis used in this study were regression, and descriptive statistics of the data. the results werw as follows. First, Korean fashion companies were undergoing diverse value activities through their foreign subsidiaries and overseas out-sourced companies in a wide spectrum of business activities ranging from design/planning o products to marketing/logistics. Second, the global competitive strategies that the Korean fashion companies were most focused on were the cost/productivity aspects. The efforts to differentiate the products from competitors, the efforts for innovation, an the efforts of growth were the next strategies. The strategy that was least emphasized was on seeking alliance with other business partners. Third, the result of the globalization efforts showed an overseas market growth of and average of 9%, and an average overseas market profit of 7.8%. The overall satisfaction on the result of the overseas market activities, and the rate of accomplishment of market targets were generally low.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.3
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• pp.491-498
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• 2018

As unmanned aerial vehicle(UVA), drone means a flying object that could aviate the route entered by a program in advance or remotely-controlled when a pilot is not on board. Drone that has been initially developed for the military purpose is currently used for diverse areas such as agricultural industry, leisure activity, logistics service, and life-saving area. Out of these areas, the shooting drone equipped with a camera is actively used for diverse image contents production areas including film and broadcasting area. This paper examines the characteristics of drone for the purpose of shooting, and also handles the shooting techniques using drone. Especially, this study aims to suggest and discuss the methods to shoot diverse camera working used by the existing image shooting with the use of drone after examining the operation of shooting drone used for the image contents production area.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.9 no.4
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• pp.813-823
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• 2019

Supplier Relationship Management (SRM) is a strategic partnership activity for an enterprise and is expected to be a significant performance element in the current enterprise environment where uncertainty is growing. Despite the effective SRM allows companies to manage quality and inventory throughout their logistics procurement process with their suppliers and increase the profitability of the company, there is a scarce of theory about supplier relationship management (SRM) and many companies are not aware of the importance of SRM and depend only on simple electronic purchasing methods. Therefore, I analyze the H Company as a case company, which is a large domestic company and has reached 2,500 domestic and overseas suppliers. SRM process and its effects are evaluated as (1) Purchasing strategy division 2) Process division (3) IT infrastructure division. By analyzing SRM as one of the management strategies that bring the overall value of enterprise performance up, and by looking at how domestic large corporations manage their suppliers, I hope that manufacturers with many suppliers will recognize the importance of SRM and build an SRM tailored to their business.

• Information Systems Review
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• v.20 no.4
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• pp.25-41
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• 2018

Applying predictive analytics to enterprise processes is an effective way to reduce operation costs and enhance productivity. Accordingly, the ability to predict business processes and performance indicators are regarded as a core capability. Recently, several works have predicted processes using deep learning in the form of recurrent neural networks (RNN). In particular, the approach of predicting the next step of activity using static or dynamic RNN has excellent results. However, few studies have given attention to applying deep learning in the form of dynamic RNN to predictions of process performance indicators. To fill this knowledge gap, the study developed an approach to using process mining and dynamic RNN. By utilizing actual data from a large domestic company, it has applied the suggested approach in estimating timely stocking in purchasing process, which is an important indicator of the process. The analytic methods and results of this study were presented and some implications and limitations are also discussed.

• Journal of the Korean Society of Marine Environment & Safety
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• v.10 no.2 s.21
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• pp.61-67
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• 2004

The development motive and maintenance of navigation system were military strategy purpose since middle of 20th century. During cold war period between the United States and the Soviet since the Second World War, advanced navigation system that two countries are responded individually have done development competitively. These systems are exhibited on general except military purpose gradually and are taking charge of point role in economy transport activity such as transportation of logistics between the country. Navigation system can divide into ground system and satellite system. Representative system of ground system is Loran-C(Long Range Navigation), and representative system of satellite system is GPS(Global Position System). Loran-C system is a system that use much in all the world country sea and ground, but GPS and DGPS that present is a satellite navigation system are used much. According to development of satellite system, examine about actual conditions of Loran-C navigation system and practical use plan in this paper because there is controversy about role of Loran-C navigation device along with Loran-C's operation and user decrease, and discusses for Loran-C's development direction.