scholarly journals Simulation Analysis on Dangerous Goods Accident in Container Terminals

2020 ◽  
Vol 206 ◽  
pp. 03004
Author(s):  
Qiao Jianzhe ◽  
Shou Youping ◽  
Zhao Junjie

In general, transportation of Dangerous Goods in the port and shipping industry is mainly based on the container. This paper summarized the types of container terminal accidents, and put forward a method to select source of pollutants, and showed pollution range of typical accidents, provided the basis for the decision of management department. Taking a domestic container terminal as an example, the calculation results show that, under the premise of taking corresponding measures, the pollution range of accidents is not wide, and the risk is controllable.

2020 ◽  
Vol 8 (2) ◽  
pp. 100
Author(s):  
Karlis Pujats ◽  
Mihalis Golias ◽  
Dinçer Konur

In the ever-changing maritime shipping industry, ports, and more specifically, container terminals, are always on the search for better policy and operational plan developments. As the maritime shipping sector changes, new areas of research emerge. In this paper, we present a review of recent game theory applications for seaport cooperation and competition, accompanied by summary review tables stating the study, the modeling technique used, the methodology and objective, and summary of the results of each study. In total, we have reviewed 33 studies that used game theory models that investigated seaport and container terminal competition and cooperation involving various stakeholders with dating publication years from 2008 to 2019. The paper concludes with a discussion and proposed future research directions. The purpose of the paper is to serve as a reference guide to recent game theory applications on seaport cooperation and competition that would allow a quick understanding of work done in the field.


Author(s):  
AGOSTINO BRUZZONE ◽  
FRANCESCO LONGO ◽  
LETIZIA NICOLETTI ◽  
ELEONORA BOTTANI ◽  
ROBERTO MONTANARI

The freight logistics includes all the processes needed to supply industry, retailers and wholesalers and final customers with goods. Such processes generate a flow of goods that, in the global supply chain, mainly relies on the activities carried out within worldwide container terminals. In this paper, the authors present a simulation model of a real container terminal. After some preliminary analyses, the simulation model is first used with Design of Experiments and Analysis of Variance to investigate the effects of different resources allocations (i.e., number of forklifts and tractors) and some parameters (i.e., inter-arrival times, container unloading time) on the container terminal performances in terms of total number of handled containers per day. Then, based on the results achieved through the Design of Experiments and Analysis of Variance, the simulation model is used with genetic algorithms to carry out a range allocation optimization on berth assignment to incoming ships and number of tractors serving each quay crane. The aim of the optimization is the minimization of the average time spent by each ship in the port area (decreasing, as consequence, costs and increasing service level provided to final customers).


2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bowei Xu ◽  
Lingling Wang ◽  
Junjun Li

Due to the complexity and dynamics of container terminal multilevel handlings, the occurrence of uncertain events often leads to the disruption of many operation plans and forms a chain reaction, resulting in economic losses and impacts. In this paper, the uncertain event propagation network model of container terminal multilevel handlings is constructed by using the hypernetwork theory, and the propagation influence of uncertain events between multilevel handlings at container terminals is considered. Through the topological characteristics of the uncertain event propagation network, the risk analysis is carried out for the relevance of nodes and the influence extent of uncertain events, and a simulation analysis is carried out to verify the validity of this model. The simulation results show that the model conforms to power law distribution, and the number of old nodes has an impact on the growth of hyperedge. The research provides a powerful tool for analysing the influence of uncertain events and their derivative events in the multilevel handlings at container terminals and has positive significance for reducing the losses caused by the changes of terminal plans and improving the operation efficiency.


Transport ◽  
2010 ◽  
Vol 25 (3) ◽  
pp. 293-299 ◽  
Author(s):  
Bojan Beškovnik ◽  
Elen Twrdy

The article describes a proposed planning organization and productivity simulation tool, with a special emphasis on orientations to the optimization of operations in a maritime container terminal. With the application of an adequate model frame for traffic and technical‐technologic forecasting, infrastructure and manpower planning and productivity simulation are possible to measure and increase the productivity in the whole subsystem of the maritime container terminal. The emphasis is mainly put on setting up planning organization in order to collect important information and consequently to raise productivity. This is the main task and goal of terminal management that must develop elements and strategies for optimal operational and financial production. An adequate planning structure must use simplified but efficient simulation tools enabling owners and management to take a vast number of adequate financial and operational decisions. Considering all important and very dynamic facts in container and shipping industry, the proposed simulation tool gives a helpful instrument for checking productivity and its time variation and monitoring a competitive position of a certain maritime terminal with the terminals from the same group. Therefore, the management of every maritime container terminal must establish an appropriate internal planning system as a mechanism for strategic decision support relating basically to the assessment of the best development and optimization solutions for the infrastructure and suprastructure of the entire system.


2021 ◽  
Vol 268 ◽  
pp. 01019
Author(s):  
Mingjun Li ◽  
Xiaowen Yang ◽  
Yue Li ◽  
Liguo Zhang ◽  
Zhiyuan Bao ◽  
...  

In this paper, a calculation method system of air pollutant emission inventory of port operation machinery in container terminal is established. Through the special investigation of port machinery manufacturers and engine manufacturers, the average load rate data of main port machinery engines in domestic container terminals are obtained. Taking a domestic container terminal as an example, the dynamic method and fuel consumption method are used to calculate the air pollutant emission inventory of port operation machinery, and the calculation results of the two methods are compared and analyzed. The results show that the calculation method system of air pollutant emission inventory of port operation machinery established in this paper is highly practical, and the calculation results obtained by the two methods are very close.


Author(s):  
Cuong Truong Ngoc ◽  
Xiao Xu ◽  
Hwan-Seong Kim ◽  
Duy Anh Nguyen ◽  
Sam-Sang You

This paper deals with three-dimensional (3D) model of competitive Lotka-Volterra equation to investigate nonlinear dynamics and control strategy of container terminal throughput and capacity. Dynamical behaviors are intensely explored by using eigenvalue evaluation, bifurcation analysis, and time-series data. The dynamical analysis is to show the stability with bifurcation of the competition and collaboration of multiple container terminals in the maritime transportation. Based on the chaotic analysis, the sliding mode control theory has been utilized for optimization of port operations under disruptions. Extensive numerical simulations have been conducted to validate the efficacy and reliability of the presented control algorithms. Particularly, the closed-loop system has been assessed through chaotic suppression and synchronization strategies for port management. Finally, the presented fundamental techniques can be utilized to provide managerial insights and solutions on efficient seaport operations that allow more timely and cost-effective decision making for port authorities in such a highly competitive environment.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Muhammad Arif Budiyanto ◽  
Muhammad Hanzalah Huzaifi ◽  
Simon Juanda Sirait ◽  
Putu Hangga Nan Prayoga

AbstractSustainable development of container terminals is based on energy efficiency and reduction in CO2 emissions. This study estimated the energy consumption and CO2 emissions in container terminals according to their layouts. Energy consumption was calculated based on utility data as well as fuel and electricity consumptions for each container-handling equipment in the container terminal. CO2 emissions were estimated using movement modality based on the number of movements of and distance travelled by each container-handling equipment. A case study involving two types of container terminal layouts i.e. parallel and perpendicular layouts, was conducted. The contributions of each container-handling equipment to the energy consumption and CO2 emissions were estimated and evaluated using statistical analysis. The results of the case study indicated that on the CO2 emissions in parallel and perpendicular layouts were relatively similar (within the range of 16–19 kg/TEUs). These results indicate that both parallel and perpendicular layouts are suitable for future ports based on sustainable development. The results can also be used for future planning of operating patterns and layout selection in container terminals.


2012 ◽  
Vol 487 ◽  
pp. 203-207
Author(s):  
Gong Xue Zhang ◽  
Xiao Kai Shen

Purpose, with the application of workbench finite element analysis software, get the analysis results of DVG 850 high-speed vertical machining center via the modal analysis and harmonic response analysis. Use the calculation results for reference, put forward the improved method, and prove the credibility of the simulation analysis by testing DVG 850 prototype.


2021 ◽  
Vol 11 (5) ◽  
pp. 2153
Author(s):  
Nadia Giuffrida ◽  
Maja Stojaković ◽  
Elen Twrdy ◽  
Matteo Ignaccolo

Container terminals are the main hubs of the global supply chain but, conversely, they play an important role in energy consumption, environmental pollution and even climate change due to carbon emissions. Assessing the environmental impact of this type of port terminal and choosing appropriate mitigation measures is essential to pursue the goals related to a clean environment and ensuring a good quality of life of the inhabitants of port cities. In this paper the authors present a Terminal Decision Support Tool (TDST) for the development of a container terminal that considers both operation efficiency and environmental impacts. The TDST provides environmental impact mitigation measures based on different levels of evolution of the port’s container traffic. An application of the TDST is conducted on the Port of Augusta (Italy), a port that is planning infrastructural interventions in coming years in order to gain a new role as a reference point for container traffic in the Mediterranean.


2021 ◽  
Vol 11 (15) ◽  
pp. 6922
Author(s):  
Jeongmin Kim ◽  
Ellen J. Hong ◽  
Youngjee Yang ◽  
Kwang Ryel Ryu

In this paper, we claim that the operation schedule of automated stacking cranes (ASC) in the storage yard of automated container terminals can be built effectively and efficiently by using a crane dispatching policy, and propose a noisy optimization algorithm named N-RTS that can derive such a policy efficiently. To select a job for an ASC, our dispatching policy uses a multi-criteria scoring function to calculate the score of each candidate job using a weighted summation of the evaluations in those criteria. As the calculated score depends on the respective weights of these criteria, and thus a different weight vector gives rise to a different best candidate, a weight vector can be deemed as a policy. A good weight vector, or policy, can be found by a simulation-based search where a candidate policy is evaluated through a computationally expensive simulation of applying the policy to some operation scenarios. We may simplify the simulation to save time but at the cost of sacrificing the evaluation accuracy. N-RTS copes with this dilemma by maintaining a good balance between exploration and exploitation. Experimental results show that the policy derived by N-RTS outperforms other ASC scheduling methods. We also conducted additional experiments using some benchmark functions to validate the performance of N-RTS.


Sign in / Sign up

Export Citation Format

Share Document