• Title/Summary/Keyword: Freight value of time

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Probability- based Life Cycle Cost Analysis of Railroad Structures (확률적 방법에 의한 철도시설물의 LCC 분석)

  • Sho Byung-Choon;Choi Young-Min;Cho Sun-Kyu;Shin Kyung-Chul;Jung Jae-Dong
    • Proceedings of the KSR Conference
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    • 2004.10a
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    • pp.971-976
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    • 2004
  • The management of railroad structures is more difficult and complicate because there are many structures such as rail, bridge, tunnel, station, and so on. Therefore, LCC(Life Cycle Cost) analysis of railroad structures as public infrastructure must contain a maintenance cost as well as an initial cost in order to make a more effective management during the life cycle on the design phase. This paper presents a cost classification scheme considering user costs such as value of delayed time of passenger and freight. Also, in this study it is developed a probabilistic life cycle cost(PLCC) analysis model of railroad structures taking into account uncertainties and variations of input variables in order to analyze LCC. It may be stated that the model proposed in this study can greatly contribute to the making optimal decision, the estimate of the maintenance cost and the allocate of budget in the project of railroad structures.

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Estimation of the DMT Utility Function Using SP Survey (SP 조사기법을 이용한 화물별 DMT(Dual Mode Trailer) 효용함수 추정)

  • Lee, Kang-Won;Kook, Kwang-Ho;Jang, Sung-Young
    • Journal of the Korean Society for Railway
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    • v.12 no.3
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    • pp.348-356
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    • 2009
  • The objective of this paper is to estimate the DMT utility function for the transportation mode choice using SP survey. With the freight OD data the estimated utility function can be used as a basic data for forecasting DMT market. 3 alternatives of transportation mode are considered in SP survey; railway, road and DMT. The utility functions are developed according to the freight items, which are container, steel and chemical product. In this study the attribute variable are chosen as time, cost and reliability. The number of level for attribute variables are 3. The high valve is determined as +10% above the standard and the low value -20% below the standard.

A Baltic Dry Index Prediction using Deep Learning Models

  • Bae, Sung-Hoon;Lee, Gunwoo;Park, Keun-Sik
    • Journal of Korea Trade
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    • v.25 no.4
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    • pp.17-36
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    • 2021
  • Purpose - This study provides useful information to stakeholders by forecasting the tramp shipping market, which is a completely competitive market and has a huge fluctuation in freight rates due to low barriers to entry. Moreover, this study provides the most effective parameters for Baltic Dry Index (BDI) prediction and an optimal model by analyzing and comparing deep learning models such as the artificial neural network (ANN), recurrent neural network (RNN), and long short-term memory (LSTM). Design/methodology - This study uses various data models based on big data. The deep learning models considered are specialized for time series models. This study includes three perspectives to verify useful models in time series data by comparing prediction accuracy according to the selection of external variables and comparison between models. Findings - The BDI research reflecting the latest trends since 2015, using weekly data from 1995 to 2019 (25 years), is employed in this study. Additionally, we tried finding the best combination of BDI forecasts through the input of external factors such as supply, demand, raw materials, and economic aspects. Moreover, the combination of various unpredictable external variables and the fundamentals of supply and demand have sought to increase BDI prediction accuracy. Originality/value - Unlike previous studies, BDI forecasts reflect the latest stabilizing trends since 2015. Additionally, we look at the variation of the model's predictive accuracy according to the input of statistically validated variables. Moreover, we want to find the optimal model that minimizes the error value according to the parameter adjustment in the ANN model. Thus, this study helps future shipping stakeholders make decisions through BDI forecasts.

Cavitation Characteristics of Al-Mg and Al-Mg-Si Alloy for Ship in Sea Water (선체 재료용 Al-Mg 합금과 Al-Mg-Si 합금의 해수 내 캐비테이션 특성)

  • Kim, Seong-Jong;Kim, Kyu-Hwan;Lee, Seung-Jun
    • Corrosion Science and Technology
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    • v.10 no.4
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    • pp.136-142
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    • 2011
  • Al alloys have been used widely for commercial and military ships in most ocean countries since mid-1950s, and the value as light metal with high mechanical strength has been proven. As the safety and fuel efficiency of Al ships have improved, she can carry more freight, sail faster and travel longer distances. Furthermore, in the shipbuilding industry, Al alloys are applied as structural materials for ships to various areas including the deck of luxurious cruises, battleships and leisure ships. In addition, Al alloys are being spotlighted as environmental-friendly material as they can be recycled even after end of lifespan. However, Al alloys for ships must be carefully selected after considering corrosion resistance, endurance, strength, and weldability in sea water environment. Al alloys to satisfy these conditions are used widely include 5000 series Al-Mg alloy and 6000 series Al-Mg-Si alloy. Thus, this study selected and evaluated the cavitation characteristics of the 5000 series Al alloys that are used in hulls that directly contact seawater and the 6000 Al alloys that are used in the upper structures of ships. Results of cavitation test with time, weightloss and cavitation rate of 5456-H116 showed the smallest damage among 5052-O, 5456-H116 and 6061-T6.

Decision-Making on Incoterms 2020 of Automotive Parts Manufacturers in Thailand

  • SURARAKSA, Juthathip;AMCHANG, Chompoonut;SAWATWONG, Nutcharin
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.461-470
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    • 2020
  • The objective of this research is to examine the factors affecting the decision-making of International Commercial Terms (Incoterms) of automotive parts manufacturers in Thailand. This mixed method study applied qualitative and quantitative research methods and utilized the analytical hierarchy process (AHP) to prioritize the significance of the factors. By an in-depth literature review and expert interview, four main criteria were identified. These criteria include Operating costs, Cooperation and bargaining power, Knowledge and understanding and Operation duration then main criteria divided into fifteen sub-criteria. The common Incoterms, Ex Works (EXW), Free On Board (FOB), Free Carrier (FCA), and Cost, Insurance and Freight (CIF), were determined as alternatives to the incoterms through a preliminary survey. The results revealed that the operating costs were the most important factor for the company. Moreover, it was discovered that this was consistent with the priority of the secondary factors, which included the annual budget for the transportation expenses and product value at one time. The respondents' perspective suggested that FCA was the most appropriate Incoterms for international trade for a company. The findings of this research suggest a hierarchy model for organizations to prioritize the significant factors in order to make a decision on the most appropriate Incoterms.

Variation of Cardiac Output and Blood Pleasure after Flooding Water into Lungs (폐 침수시의 심장 박출량과 혈압의 변동)

  • Cho, Sung-Doo;Nam, Kee-Yong
    • The Korean Journal of Physiology
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    • v.1 no.1
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    • pp.57-66
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    • 1967
  • Cold $(0^{\circ}C)$ or warm $(25^{\circ}C)$ fresh and sea water were flooded into the lungs of rabbits through tracheal canule. Respiratory arrest ensued in 19.5 minutes in the warm fresh water flooded rabbits and was the longest survival time among the experimental groups. The survival times in the other groups were: 2.32 minutes in cold fresh water group, 2.75 minutes in .warm sea water group, and 4.57 minutes in cold sea water group. Cardiac output was measured by means of T-1824 dilution technique after 2 or 3 minutes of flooding in 27 rabbits. Blood pressure was observed by mercury manometer throughout the survival time in 40 rabbits. The following results were obtained. 1. Cardiac output in the warm fresh water flooded and sea water flooded animal was smaller than that of control rabbits. In the cold fresh water flooded animal cardiac output was greater than that of the control animal. 2. Time constants of T-1824 dilution curve of experimental group were elongated than the normal curve. 3. Central blood volume showed an increase in the fresh water group, a decrease in cold sea water group and no change in warm sea water group. 4. In all of the experimental groups arterial blood Pressure showed an abrupt and great variations after flooding of lungs and lasted about 30 seconds. Thereafter, arterial pressure remained at a plateau level until the sudden fall to zero and this was almost coincided with the time of respiratory arrest. The Plateau level of arterial Pressure in fresh water group was about 10 mmHg higher than the control value, and it was lower than the control value in warm sea water group. In cold sea water group the plateau was made up by fluctuations around the control value. 5. Osmosis of water through the lung alveolar membrane occured in all animals. Fresh water caused hemodilution and sea water caused hemoconcentration. 6. In sea water flooded animal more volume of water was recovered through the tracheal canule than the volume injected into trachea. This was interpreted as the consequence of the shift of water from plasma to alveolar sac. 7. Relative freight of lung was greater in fresh water group than sea water group. In all animal lung edema ensued. 8. The mechanisms of cardiac output variations were discussed.

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The Nationality Effect of Price Discrimination in the Container Shipping Market and Its Implications for Development Economics: Treating Hanjin Shipping's Collapse as a Natural Experiment

  • Ko, Byoung-Wook
    • Journal of Korea Trade
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    • v.24 no.6
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    • pp.115-134
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    • 2020
  • Purpose - International trade leads to the international division of labor, improving the efficiency of the global economic system. Transport costs are a more serious barrier to international trade than customs tariffs. An increase in competition in the transport sector may thus lead to a reduction in transport costs. However, if a carrier's nationality significantly influences transport costs, simply adding more competing carriers of different nationalities would be ineffective. Therefore, it is necessary to establish national or regional carriers to influence competition and reduce transport costs. This study investigates this "nationality effect" by treating Hanjin Shipping's collapse as a natural experiment. Design/methodology - The theoretical basis of this study is the 3rd-degree price discrimination in container shipping market. By using the monthly data of container freight rates of Korea, China and Japan, this study shows the so-called Korea Premiums, which are the empirical counterparts of nationality effect in Korea container shipping market. For this empirical investigation, the structural model with state-space form is used and the dummy models are also estimated. In addition, because China has been also affected by the Hanjin's collapse, the China premiums are considered too. Findings - Compared with Japan's case, it is shown that there had been the so-called Korea premiums since the collapse of Hanjin Shipping. These results are robust from both the state-space model and dummy models. The time pattern of Korea premiums was consistent with the market evolution, especially the pattern of substitutability in container shipping markets. In addition, this paper shows the magnitude of Korea premiums. Originality/value - The argument of this study that the nationality effect can be interpreted as an extended concept of the home market effect is original, which is expected to evoke future research efforts. Further, the discussion on the shipping industrial policy from both horizontal and vertical aspects will provide the relevant policy makers with solid information, especially for the policy coordination in a global scale.

Quantitative analysis on the technical interoperability between railway systems for the operation of trans-continental railways (대륙철도 운행을 위한 기술적 상호운용성에 대한 계량적 분석)

  • Park, Su-Myung;Park, Eun-Kyung
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.12
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    • pp.645-652
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    • 2018
  • Recently, as South Korea has joined the OSJD, the rules of the OSJD need to be applied to South Korea. Therefore, the railways are connected to the continent railway in terms of software, but the railway systems in neighboring countries have been developed and operated for a long time, and are quite different with some restrictions in terms of hardware. Therefore, this study analyzed the current railway systems of neighboring countries' based on the TSI used in Europe for technical interoperability. A real operation with the operation models within the specific route was assumed and vector functions for the Infrastructure vector & Rolling stock vector were produced. The IOP value was calculated by working out the interfacing matrix value between the infrastructure vector and rolling stock vector. As a result of calculating the IOP in a specific route, which is from Busan South Korea to Vladivostok with the diesel locomotive hauling freight cars, the value was only 22%, which is fairly low in terms of the interoperability. In other words, there are 77.8% restricting items preventing their interoperability. Such restricted causes should be improved to increase the technical interoperability in the long term. Moreover, and when railway systems are constructed and manufactured, it is important to keep IOP 100% to increase the operating efficiency in continental railways.

A study on Regional Economic Impacts Due to Launch of International Ferry Terminal at Seosan-Daesan Port (서산 대산항 국제여객선 취항에 따른 지역경제 유발효과 연구)

  • Yun, Kyong-Jun;Kim, Sung-Young;Ahn, Seung-Bum
    • Journal of Korea Port Economic Association
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    • v.34 no.2
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    • pp.17-30
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    • 2018
  • The regional industry promotion system, which seeks to link the characteristics and resources of the region to its core strategic industry, is spreading the industrial resources in the form of an organic network. The Seosan-Daesan Port is the only port in the Chungcheong provinces that is equipped with international passenger dock and terminal, and it will soon have a ferry service operating to the Longyan port in Rongcheng, China in 2018. The study focuses on effects of the first international ferry operation in the provinces that are being realized with the aim of developing the regional industry. The study also analyzes the ripple effects on the tourism and port industries in the provinces by tapping into the 2013 regional inter-industry table. The analysis shows that the scheduled ferry operation will generate 47,815 million won in production and 23,423 million won in added value for the region's tourism industry. It will also generate total revenue of 12,567 million won for the port industry driven by the locally handled freight containers and the added value. Currently, the Korea-China ferry operation in other regions exhibits greater dependence on the cargo than the passengers. Thus, for the international ferry operation to and from Seosan, generating maximum employment in tourism from the passengers of the international ferry operation will require strategic marketing to attract tourists. At the same time, a steady supply of cargo needs to be sustained by maintaining a balance between import and export cargoes. Furthermore, greater efforts should be made to create more sea routes than other regions or to increase voyages for the purpose of generating more added value.

A Study on the Early Warning Model of Crude Oil Shipping Market Using Signal Approach (신호접근법에 의한 유조선 해운시장 위기 예측 연구)

  • Bong Keun Choi;Dong-Keun Ryoo
    • Journal of Navigation and Port Research
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    • v.47 no.3
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    • pp.167-173
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    • 2023
  • The manufacturing industry is the backbone of the Korean economy. Among them, the petrochemical industry is a strategic growth industry, which makes a profit through reexports based on eminent technology in South Korea which imports all of its crude oil. South Korea imports whole amount of crude oil, which is the raw material for many manufacturing industries, by sea transportation. Therefore, it must respond swiftly to a highly volatile tanker freight market. This study aimed to make an early warning model of crude oil shipping market using a signal approach. The crisis of crude oil shipping market is defined by BDTI. The overall leading index is made of 38 factors from macro economy, financial data, and shipping market data. Only leading correlation factors were chosen to be used for the overall leading index. The overall leading index had the highest correlation coefficient factor of 0.499 two months ago. It showed a significant correlation coefficient five months ago. The QPS value was 0.13, which was found to have high accuracy for crisis prediction. Furthermore, unlike other previous time series forecasting model studies, this study quantitatively approached the time lag between economic crisis and the crisis of the tanker ship market, providing workers and policy makers in the shipping industry with an framework for strategies that could effectively deal with the crisis.