• Management & Information Systems Review
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• v.7
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• pp.427-450
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• 2001

This research suggests the estimation methodology of Logistics. This paper elucidates the main problems associated with estimation in the regression model. We review the methods for estimating the parameters in the model and introduce a modified procedure in which all models are fitted and combined to construct a combination of estimates. The resulting estimators are found to be as efficient as the maximum likelihood (ML) estimators in various cases. Our method requires more computations but has an advantage for large data sets. Also, it enables to detect particular features in the data structure. Examples of real data are used to illustrate the properties of the estimators. The backgrounds of estimation of logistic regression model is the increasing logistic environment importance today. In the first phase, we conduct an exploratory study to discuss 9 independent variables. In the second phase, we try to find the fittest logistic regression model. In the third phase, we calculate the logistic estimation using logistic regression model. The parameters of logistic regression model were estimated using ordinary least squares regression. The standard assumptions of OLS estimation were tested. The calculated value of the F-statistics for the logistic regression model is significant at the 5% level. The logistic regression model also explains a significant amount of variance in the dependent variable. The parameter estimates of the logistic regression model with t-statistics in parentheses are presented in Table. The object of this paper is to find the best logistic regression model to estimate the comparative accurate logistics.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.1
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• pp.235-240
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• 2006

With the change of global production network, the establishment of new strategy in gwangyang port is required. Especially, the trade pattern has been concentrated to Northeast Asia region according to economic growth of the Asia including China, Japan, and Korea. Hence, Gwangyang port that have price and service competition have to meet of the need of Northeast port alliance and to compete against other countries in variable trade environment. Therefore, the objective of this study is to propose the port alliance strategy in order to promote the growth of Gwangyang port. For the purpose of the Logistics business model in Gwangyang port, we provided the direction of the Northeast port alliance and candidate ports in China and Japan.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2019.05a
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• pp.234-235
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• 2019

Smart Maritime Autonomous Surface Ship(MASS) is aiming to provide eco-friendly smart maritime navigation service based on safety, reliability and efficiency for maritime safety and marine environment protection. In the future, it is expected to bring about a radical change across the marine industry such as marine, maritime, port, logistics, ship-building and so forth. Therefore, in this paper, policy priorities related to the introduction of MASS were identified, and response strategies for each industry were set up, and a policy plan for establishing a smart maritime logistics system covering shipping, port and shipbuilding fields was proposed.

• The Journal of Korea Robotics Society
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• v.18 no.1
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• pp.93-98
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• 2023

In this paper, the development of an autonomous electric vehicle for logistics with a robotic arm is introduced. The manual driving electric vehicle was converted into an electric vehicle platform capable of autonomous driving. For autonomous driving, an encoder is installed on the driving wheels, and an electronic power steering system is applied for automatic steering. The electric vehicle is equipped with a lidar sensor, a depth camera, and an ultrasonic sensor to recognize the surrounding environment, create a map, and recognize the vehicle location. The odometry was calculated using the bicycle motion model, and the map was created using the SLAM algorithm. To estimate the location of the platform based on the generated map, AMCL algorithm using Lidar was applied. A user interface was developed to create and modify a waypoint in order to move a predetermined place according to the logistics process. An A-star-based global path was generated to move to the destination, and a DWA-based local path was generated to trace the global path. The autonomous electric vehicle developed in this paper was tested and its utility was verified in a warehouse.

• Korea Trade Review
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• v.47 no.2
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• pp.133-154
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• 2022

The Baltic Capesize Index (BCI), which is used as an indicator for marine transportation of steel raw materials, is one of the key economic indexes for managing the risk of loss due to rapid market fluctuations when steel companies establish business strategies and procuring plans for raw materials. Still, the conditions of supply and demand of steel raw materials has been extremely affected by volatility shocks from drastic events like the financial crisis such as the Lehman Brothers incident and changes in the external environment such as COVID-19. And, especially since the 2008 financial crisis, endeavors to predict the market conditions of the steel raw material is becoming more and more arduous for the deepening uncertainty and increased volatility of BCI, which has been used as a leading indicator of the real economy. This study investigates the correlation between the steel raw material market and the marine transportation market by estimating the spillover effect of information between markets. The vector error correction model (VECM) was used to analyze information transfer based on the correlation between the BCI and crude steel production, capesize fleet supply, raw material price, and cargo volume.

• Korea Trade Review
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• v.45 no.5
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• pp.303-324
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• 2020

The objective of this study is to verify the effect of the market orientation, CEO capacity, and environmental characteristics of overseas markets on the performance of overseas expansion among the success factors of domestic overseas expansion companies. For this purpose, employees of domestic overseas companies based in the Seoul metropolitan area were surveyed, and the hypothesis test was conducted. As a result of the verification, among the contributors to overseas advancement of domestic overseas companies, the factors of CEO capacity, overseas business_education ability, market environment and market size have a significant positive effect on the financial performance of overseas expansion. However, market-oriented factors were found to have no significant effect on the financial performance of overseas expansion. Among the contributors to overseas advancement of domestic overseas companies, the market-oriented factor, the customer-oriented factor, has a significant positive effect on the non-financial performance of overseas expansion. However, factors in CEO competency and environmental characteristics in overseas markets do not have a significant positive effect on the non-financial performance of overseas expansion.

• Journal of Institute of Control, Robotics and Systems
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• v.14 no.1
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• pp.1-6
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• 2008

The ubiquitous sensor network technique is widely applied to variety of information fields such as home automations, logistics, traffic controls, public administrations, health and environment monitoring and etc. It is particularly useful in the areas where energy consumption is minimal and where continuous monitoring of the surrounding environments, which generates streams of data, are required. In this study, we have designed and implemented a living environment automatic control system which collects the streams of temperature, humidity, light and noise data of a simulated house setting in real-time fashion, then controls the home environment based on the collected data according to the users favorites. In order to differentiate the proposed system from the currently existing similar system, we have demonstrated not only the feasibility of collecting data using sensor network in the controlled environment but also the ability to control the various household equipments through wireless communications.

• Journal of Korea Port Economic Association
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• v.38 no.1
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• pp.1-14
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• 2022

The change in the management environment of the logistics industry in the era of global competition is becoming an era in which customers choose companies. Differentiation from competitors through the provision of products and services suitable for customers As customers' choices change depending on their superiority, companies are constantly striving to receive or retain customers' choices. Ultimately, this competitive structure can be seen as the importance of long-term relationship building. Therefore, in this study, we examined how factors related to transaction characteristics performed by logistics companies for customer satisfaction in the transaction relationship between cargo companies and shippers affect performance and long-term transaction intentions. First, we derived the factors of logistics service, cost, logistics infrastructure, and company competency, which are transaction characteristics factors of a logistics company that must be specifically realized for customer satisfaction in transactions between logistics companies. Second, we analyzed how the transaction characteristics factors of a logistics company affect the company's performance, and finally, how the company's performance factors affect long-term transaction intentions. As a result of empirical analysis, there were no statistically significant results on the relationship between transaction characteristics and performance of logistics companies, which can be attributed to the small size of the logistics companies that were the sample. In other words, logistics companies that do not have sufficient capacity to provide services at low prices have no choice but to engage in constant bleeding competition. It can be seen that it reflects the characteristics of the industry. On the other hand, the relationship between corporate performance factors and long-term transaction intention was found to have a positive relationship. The higher the level of partnership with logistics companies and visible financial performance is, the higher the transaction will be in the future, and the more the transaction volume will be gradually increased. And even if it costs a little more, it can be seen that the intention to continue trading is greatly expressed.

• Journal of Navigation and Port Research
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• v.33 no.10
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• pp.723-734
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• 2009

Container Vessel is becoming larger and faster thanks to the rapid growth of global trade and development of technology. Therefore, 15,000TEU vessel is expected to be ordered in near future. Every nations in north-east Asia are facing strong competition to be logistics hub to get the initiatives of logistics in response to the rapid change of logistics environment. According to the globalization of economy and major ports in this region also are trying to catch big shipping line for their survival. Considering above circumstances of the advent of ultra-large container vessel and spoke-and-hub strategy, it is inevitably necessary to make a fast and accurate vessel job in the terminal in order to be a leading port To meet this objective, current vessel planning system has to be improved innovatively. Therefore, this thesis propose multi distributed vessel planning system which enables multi loading/discharging planning with several planner simultaneously for faster and more accurate than existing planning and enhances quality of planning through information sharing among planners. Also this thesis uses simulation through Arena to verify the efficiency of this multi-distributed vessel planning system.

• Journal of Korea Port Economic Association
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• v.34 no.3
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• pp.1-16
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• 2018

The demand for biopharmaceuticals is on the rise spurred by the fourth industrial revolution and an aging society in Korea. Consequently, the scale of the biopharmaceutical industry is continuously increasing globally, thereby leading to an increase in the distribution of biopharmaceuticals. However, the relative inferiority of the domestic drug distribution structure, when compared to the advanced countries, and strict logistics regulations concerning the handling of biopharmaceuticals have raised the need for systematic management. Essentially, the significance of third-party logistics companies in the cold chain for pharmaceutical cold chain has increased with an intense management environment for pharmaceuticals. The purpose of this study is to investigate the selection factors of drug cold chain's third-party logistics companies and to examine the influence of selection factors on satisfaction. A multiple regression analysis was conducted to investigate how cold chain third-party logistics factors affect the satisfaction of third-party logistics in cold chain. The results of analysis showed that expertise, facility, and linkage are factors affect customer satisfaction. The managerial capacity was derived not as an influential factor. These findings suggest that the future cold chain industry will be equipped to provide direction and strategic implications.