• Journal of Digital Convergence
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• v.19 no.1
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• pp.67-75
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• 2021

Despite the increase in sales of imported vehicles in Korea, research on the sales forecast of parts logistics centers is very limited. This study aims to perform a sales prediction on bestselling goods in the automobile part logistics center. System dynamics was adopted as a methodology for the prediction method, which considered causal relationship of variables that affected the dynamic characteristics and feedback loops. The analysis results showed that the consumable sales amount of oil increased over time. As a result of conducting the MAPE, the model was assessed to be a reasonable predictive model of 31.3%. In addition, the sales of battery products increased from every October in both of actual and predicted data followed by the peak sales in December and then decrease from next February. This study has academic implications that it secured actual data of specific imported automobile part logistics center, which has not done before in previous studies and quantitatively analyzed the prediction of the quantity of released goods of future sales through system dynamics.

• Journal of Korea Port Economic Association
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• v.36 no.2
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• pp.87-108
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• 2020

The Korean logistics industry has grown with the development of domestic industries. The industry plays an important role in national and regional economic growth, and the government has continued policy efforts to foster the industry. This study analyzes the competitiveness of the regional logistics industry and its contribution to the regional economy. Location coefficients are used to analyze local specialization in each logistics industry. The value-added rate, GDP contribution, value-added induction coefficient, and net value-added income of regional logistics industries are analyzed using a regional input-output table. As a result, the logistics industry is found to have net value-added income and competitiveness in some regions, and there is no relationship between the location coefficient and the value-added contribution of the regional logistics industry. Seoul, Incheon, Gyeonggi, Busan, and Jeju have the competitiveness of each logistics industry. In addition, we identified the regions where the logistics infrastructure is well developed and those in which it needs to be supported. The regions where the logistics industry has developed require policies for making high value-added by logistics activity, and regions with insufficient growth need to support the development of the logistics industry by investing human resources and capital that can meet the local demand.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.39 no.3
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• pp.30-38
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• 2016

Shuttle-Based Storage/Retrieval System (SBS/RS) is relatively new to industry. The system is in the category of Automated Storage/Retrieval System (AS/RS), but it is different in that the SBS/RS uses shuttles as Storage/Retrieval (SR) machine instead using a stacker crane. The shuttles are assigned to each tier on multi-tier system and operated for pick-up or drop-off order. Since the system can handle multiple orders simultaneously, it can provide much higher throughput than that of general AS/RS with single stocker crane. Thus, this new system is well fit to recent tendency of increasing small quantity batch production and orders. One of the drawback of this system is that it needs a lot of investment to set up. The efficient operation of the system would be one of the critical matters to increase economic efficiency of capital investment. In this study, we focused on the dwell point policy for shuttles to find efficient way of operating the system. There are four basic policies for the dwell point and we had simulation-based experiment for two different scenarios based on the speed of the shuttle and inter-arrival time of the loads coming to the system combined with four different policies. As it was mentioned above, this SBS/RS relatively new to the field and there is no such experiment shown on previous research and the study of dwell point policy for this SBS/RS could provide the direct comparison of each policy with different hardware specification; the capability of the system. The policy that achieves most efficient operation among the given environment is proposed and the usability of the system is discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.632-637
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• 2014

In this paper the concept of the performance-based logistics (PBL) support for weapon systems is discussed and an enhancement is studied such that prior to the Operational phase, the development of the PBL can begin from the Engineering & Manufacturing Development (EMD) phase together with multiple performance indices considered. The genetic algorithm should be considered for the complex system to solve the maintenance policy optimization. In particular, the requirement of repair level analysis model is developed based on reflecting the PBL concept. To decide the maintenance policy prior to Operational phase in accordance with customer requirements, the PIDO(Process Integration and Design Optimization) technique useful in choosing the performance indices and changing the constraints was used. The genetic algorithm of PIDO tool, like PIAnO and ModelCenter, was verified that it could be applied to optimize the maintenance policy.

• The Journal of shipping and logistics
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• v.34 no.4
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• pp.657-675
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• 2018

This study examines various policy programs for the creation of green harbors in major ports in the Northwest of the United States and suggests ways to apply them to major ports in Korea. Based on the fuzzy analysis process, the importance of major policy programs for the development of green ports in Korea was compared and analyzed. As a result of importance analysis, the Green Ship Incentive Program and the Carbon Footprint Program were identified as the most important policies. The first policy programs that should be introduced to Incheon Port are the AMP installation operation program and a vessel slowing program around the seaport. In case of Busan Port, the AMP installation operation program, the vessel slowing program around the seaport, carbon footprint, and installation of DPF were found to be excellent policies. These results may provide practical implications for policy makers of port authorities which has conducted environmental projects.

• Journal of Digital Convergence
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• v.14 no.9
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• pp.133-138
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• 2016

As UAE has witnessed tremendous growth and diversification in its economy, logistics in particular has had great success as one of the first logistics clusters and hub to develop global business competitiveness but a few data and practical study related with logistics business competitiveness have existed due to lack of the openness in the region. In this sense, the purpose of this study was to carry out competitive analysis between UAE and not only major Middle East countries and but also Global countries using Porter's Diamond model. As a result of analysis with Middle East Countries such as Saudi Arabia, Qatar, UAE gained the highest score in factor conditions followed by logistics conditions, supported industries and demand conditions. UAE also is required to reduce cost and time of logistics process and get higher ease of international shipment, logistics competency and logistics timeliness. The logistics data set released from international and reputable bodies like WEF, OECD and IMD will assist to analyses logistics competitiveness among hub countries in future studies.

• Journal of Distribution Science
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• v.19 no.3
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• pp.25-34
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• 2021

Purpose: The purpose of this study is to analyze the economic ripple effect(ERE) of logistics industry by construction of Trans-Korea Railway (TKR) and present policy measures to minimize the economic loss of South Korea (SK). Research design, data and methodology: As the analysis method, exponential smoothing was used for demand forecasting, Input-Output analysis was used to estimate the economic ripple effect coefficient, and scenario analysis was used to an efficient way to invest in TKR to minimize SK's economic losses. Results: 1) the production(logistics fares) of TKR for 10 years after its completion is about 11.42 trillion won in positive relations, and 26.89 billion won in negative relations. 2) the ERE of SK in positive relations is 24.32 trillion won in production inducement effect, 8.1 trillion won in value-added inducement effect, 3.54 trillion won in import inducement effect, and 70,930 persons in employment inducement effect. But the ERE was insufficient in the negative relations. 3) SK's efficient investment method is providing materials and equipment by SK and building the TKR by North Korea in positive inter-Korea relations. Conclusions: For the successful operation of TKR, international cooperation, legalization and stable peace settlement on the Korean Peninsula are required.

• Journal of Navigation and Port Research
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• v.46 no.5
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• pp.449-457
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• 2022

The Port of Busan is currently ranked as the seventh largest container port worldwide in terms of cargo throughput. However, port competition in the Far-East region is fierce. The growth rate of container throughput handled by the port of Busan has recently slowed down. In this study, we analyzed how economic conditions and multiple external shocks could influence cargo throughput and identified potential implications for port business. The aim of this study was to build a model to accurately forecast port throughput using the ARIMA model, which could incorporate external socio-economic shocks, and the VEC model considering causal variables having long-term effects on transshipment cargo. Findings of this study suggest that there are three main areas affecting container throughput in the port of Busan, namely the Russia-Ukraine war, the increased competition for transshipment cargo of Chinese ports, and the weaker growth rate of the Korean economy. Based on the forecast, in order for the Port of the Port of Busan to continue to grow as a logistics hub in Northeast-Asia, policy intervention is necessary to diversify the demand for transshipment cargo and maximize benefits of planned infrastructural investments.

• Korea Trade Review
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• v.47 no.1
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• pp.63-77
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• 2022

As customer needs for eco-friendly transportation services increase, strategies of major global shipping companies are being established to meet them. Even if logistics costs increase, more and more shippers are choosing shipping companies that fulfill their social responsibilities through decarbonization, and against this backdrop, global shipping companies want to strengthen corporate social responsiveness and reduce shipping environmental costs. In the post-corona era after COVID-19, it is necessary to review the latest Green Shipping management strategies of shipping companies emerging as a new normal for the shipping and logistics industries. This study aims to explore trends in the latest Green Shipping management strategies of global shipping companies pursuing environmental load suppression in the shipping and logistics fields. Among the previous studies, some studies analyzed the green shipping policies of major shipping countries, but they did not deal with the latest policies over time, and few previous study has conducted a fact-finding analysis on the latest Green Shipping management strategies of major shipping companies at the corporate level. This study attempted to analyze securities reports by major domestic and international shipping companies and to present the latest Green Shipping management strategies by shipping companies.

• Korea Trade Review
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• v.46 no.2
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• pp.213-228
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• 2021

In recent year, US government requires local investment ,unlike in the past, when import restrictions and tariff were imposed. In this situation, many companies are considering new investment in the US and entering the local market. However, research on the optimal investment plan along with the case analysis on trade regulation is extremely limited and more research needs to be conducted. Accordingly, this study aims to suggest the implications and countermeasure of the SCM and logistical perspective by studying the optimal measures for the new investment of each company due to trade regulation. As a research method, the gravity location model, Mixed Integer Linear Programming Model were used to select the optimal automobile manufacturing factory considering each state's population. This study will be implication of SCM and logistics perspective not only for companies considering new investment in the US but also for the government to conduct trade negotiations. In the future, it is expected that the US trade pressure will increase and affect Korea in many ways. Therefore, in order to cope with such difficult situation in a timely manner, continuous research considering various possibilities is needed in the future.