scholarly journals DEVELOPMENT OF AN IMITATION MODEL OF CONTAINER TRANSPORTATION BY RAILWAY AREA OF DOSTYK-ZHEZKAZGHAN-ILETSK

2021 ◽  
Author(s):  
Maxat Orunbekov ◽  
Vladimir Shults ◽  
Gulfariza Suleimenova ◽  
Sugirali Sarbayev ◽  
Ainagul Seitbekova
Keyword(s):  
Container Transportation ◽  
Imitation Model

Актуальность исследования обусловлена необходимостью дальнейшего увеличения грузопотока и пропускной способности контейнерных перевозок на участке Достык-Актогай-Мойнты-Жарык-Жезказган-Саксаульская-Кандыагаш-Актобе-Илек национальной компании “Қазақстан Темір Жолы”. Целью данной статьи является оценка эффективности предлагаемой модернизации, связанной с дальнейшим развитием вышеуказанного железнодорожного транспортного коридора для контейнерных перевозок. Метод исследования предполагает решение этой задачи путем применения компьютерного моделирования контейнерных перевозок по данному коридору, в частности разработку имитационной модели на базе программного обеспечения Anylogic и обработку полученных результатов. Результаты исследования представляют собой данные, полученные на основе имитационного моделирования и сравнения его с текущими данными о контейнерных потоках по коридору Достык-Жезказган-Илек. Значимость исследования заключается в обосновании эффективности мероприятий по модернизации инфраструктуры участка и развитию данного железнодорожного транспортного коридора для контейнерных поездов. Материалы статьи могут быть полезны логистическим компаниям в Казахстане и за рубежом.

scholarly journals Estimation of container system development in a region

2018 ◽  
Vol 216 ◽  
pp. 02022 ◽  
Author(s):  
Daria Kochneva ◽  
Vasily Say ◽  
Valentina Parshina
Keyword(s):  
Monte Carlo ◽  
Regression Analysis ◽  
Organizational Development ◽  
System Integration ◽  
System Development ◽  
Transportation Systems ◽  
Container Transportation ◽  
Imitation Model ◽  
Container Transport ◽  
The Monte Carlo Method

A relevant problem of scientific research is formalization of the processes of interaction between transportation systems and the region in the context of modern ideas of synergetic approach. The purpose of this article is to develop a methodology for assessing and forecasting the needs of a region for container transport system development. The methodology includes two elements. First is the model for forecasting region's demand for container transportation based on the methods of correlation-regression analysis, index prediction and the Monte Carlo method. Second is the imitation model for assessing the needs of the region in the technical and organizational development of the container system. Organizational development is achieved due to system integration of market players, coordinated management of container flows, which makes it possible to establish the synergistic effect availability.

scholarly journals Evaluation of the energy consumption of container diesel trucks in a container terminal: A case study at Klaipeda port

2021 ◽  
Vol 104 (3) ◽  
pp. 003685042110355
Author(s):  
Tomas Eglynas ◽  
Sergej Jakovlev ◽  
Valdas Jankunas ◽  
Rimantas Didziokas ◽  
Jolanta Januteniene ◽  
...  
Keyword(s):  
Energy Consumption ◽  
Dynamic Properties ◽  
Container Terminal ◽  
Superposition Principle ◽  
Critical Parameters ◽  
Container Transportation ◽  
Industrial Emissions ◽  
Transportation Process ◽  
Diesel Trucks

Introduction: In the paper, we examine the energy consumption efficiency of specialized container diesel trucks engaged in container transportation at a seaport terminal. Objectives: Using the container terminal at Klaipėda in Lithuania as the background for the research, we produced an improved energy consumption model for measuring the theoretical energy consumption and regeneration of diesel trucks at the terminal and provide a comparative analysis. Methods: We created a mathematical model which describes the instantaneous energy consumption of the diesel trucks, taking into account their dynamic properties and the overall geometry of their routes—“Ship-Truck-Stack-Ship”—using the superposition principle. We investigated other critical parameters relevant to the model and provide a statistical evaluation of the transportation process using data from a case study of Klaipėda port, where we collected measurements of container transportation parameters using georeferenced movement detection and logs from wireless equipment positioned on the diesel-powered container trucks. Results: The modeling results showed that an instantaneous evaluation of energy consumption can reveal areas in the container transportation process which have the highest energy loss and require the introduction of new management and process control initiatives to address the regulations which are designed to decrease harmful industrial emissions and encourage novel technologies and thereby increase the eco-friendliness of existing systems. Conclusion: Based on the research results, the article can provide a reference for the estimation of diesel truck efficiency in seaport terminal operations.

A decision support system using soft computing for modern international container transportation services

2010 ◽  
Vol 10 (4) ◽  
pp. 1087-1095 ◽  
Author(s):  
Yanbin Liu ◽  
Chunguang Zhou ◽  
Dongwei Guo ◽  
Kangping Wang ◽  
Wei Pang ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Soft Computing ◽  
Support System ◽  
Container Transportation ◽  
Transportation Services

scholarly journals A Model for Developing Existing Ports Considering Economic Impact and Network Connectivity

2021 ◽  
Vol 13 (7) ◽  
pp. 3705
Author(s):  
Veterina Nosadila Riaventin ◽  
Sofyan Dwi Cahyo ◽  
Ivan Kristianto Singgih
Keyword(s):  
Network Connectivity ◽  
Economic Consequences ◽  
Real Problem ◽  
Container Transportation ◽  
Container Ports ◽  
Investment Priority ◽  
Time Required ◽  
Transportation Flows ◽  
Port Clusters

This study discusses the problem of determining which container port should be developed within an existing network and when this should be carried out. A case study of Indonesia’s port network is presented, where several new ports are to be improved to ensure smooth interisland transportation flows of goods. The effects of the investment on economic consequences and increased network connectivity are assessed. When improving the ports, we consider that the available budget limits the investment. The network connectivity is evaluated by considering the number of reachable ports from the developed ports or transportation time required from other ports within the same port cluster. Based on our knowledge, our study is the first one that discusses the investment problem in multiple container ports under single management, as well as its effects regarding the increase in container flows. The problem is introduced and three mathematical models are proposed and used to solve a real problem. The results show that different models have different improved aspects of container transportation flows—e.g., a balanced improvement of the whole port network (Model 2) and appropriate investment priority for port clusters (Model 3).

scholarly journals Research on the characteristics of container transportation on the main ports in East Asia.

2002 ◽  
pp. 149-161
Author(s):  
Hironao TAKAHASHI ◽  
Tomoyuki MATSUO ◽  
Koshi YAMAMOTO
Keyword(s):  
East Asia ◽  
Container Transportation

Minimizing the total weighted delivery time in container transportation scheduling

2012 ◽  
Vol 59 (3-4) ◽  
pp. 266-277 ◽  
Author(s):  
Kangbok Lee ◽  
Byung-Cheon Choi ◽  
Joseph Y-T. Leung ◽  
Michael L. Pinedo ◽  
Dirk Briskorn
Keyword(s):  
Delivery Time ◽  
Container Transportation ◽  
Transportation Scheduling

Statistical estimation of container condensation in marine transportation between Far East Asia and Europe

2021 ◽  
pp. 1-24
Author(s):  
Ping Chi Yuen ◽  
Kenji Sasa ◽  
Hideo Kawahara ◽  
Chen Chen
Keyword(s):  
Statistical Estimation ◽  
Far East ◽  
Estimation Method ◽  
Measured Data ◽  
Probability Estimation ◽  
Container Transportation ◽  
Marine Transportation ◽  
Weather Changes ◽  
Sea Area ◽  
Weather Change

Abstract Condensation inside marine containers occurs during voyages owing to weather changes. In this study, we define the condensation probability along one of the major routes for container ships between Asia and Europe. First, the inside and outside air conditions were measured on land in Japan, and a correlation analysis was conducted to derive their relationship. Second, onboard measurements were conducted for 20,000 twenty-foot equivalent unit (TEU) ships to determine the variation in outside air conditions. Complicated patterns of weather change were observed with changes in latitude, sea area, and season. Third, condensation probability was estimated based on a multi-regression analysis with land and onboard measured data. The maximum condensation probability in westbound or eastbound voyages in winter was found to be approximately 50%. The condensation probability estimation method established in this study can contribute to the quantification of cargo damage risks for the planning of marine container transportation voyages.

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