scholarly journals Simulation model for optimization of a landside harbor logistic chain of container terminals.

2014 ◽  
Author(s):  
Klaus Striegel
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 2131 (3) ◽  
pp. 032062
Author(s):  
Yu Ezhov ◽  
I Zub ◽  
A Zhuravlev

Abstract Efficiency of handling equipment reduces the service time of vehicles arriving at the container terminal. A simulation model of the operation of handling equipment allows reducing the time for diagnosis handling technique with its failure. The model constructed by means of apparatus of Petri Nets the formalism of Petri Nets provides the precision of definitions and reflects the structural and logical connection of the simulated events. The visualization and simplicity of Petri Nets allows the technician has no special training to use these models. This paper examines the reach stacker model, these types of machines that used in container terminals. A Petri Net simulating the operation of the reach stacker – hierarchical, has a built-in network positions. Hierarchy of networks identified position to ensure secure operation techniques, conflict situation, and analyzed solutions. Position having the chips are nodes, which can cause failures.


2019 ◽  
Vol 40 ◽  
pp. 389-396
Author(s):  
Viliam Mojský ◽  
Peter Kolarovszki

2013 ◽  
Vol 837 ◽  
pp. 786-791 ◽  
Author(s):  
Eugen Roşca ◽  
Şerban Raicu ◽  
Mircea Augustin Roşca ◽  
Ştefan Burciu

The growth of containerization and transporting goods in containers has generated capacity and equipment allocation problems in maritime ports. Container terminals represent complex systems with dynamic interactions between the various handling, transportation and storage units, and uncertainties about future events. Maritime container terminal operates at full capacity if the arrival of vessels to berth is uniform according to its capacity and equipment operating at constant parameters. Since there are random factors both on the arrival of ships and on the operation of equipments, the paper analyzes the influence of these factors on the terminal capacity. Therefore, we proposed a generic simulation model structure for the comparative assessment of the measures of performance of maritime terminal in ideal conditions (without perturbations in the terminal operation) and in different statistical assumptions of vessels inflows to berth and number of containers to unload per vessel. Based on event driven and virtual reality technology, the handling technology simulation model is developed using ARENA simulation software. The model is set-up by combining three basic functions: transport, transfer, and stacking. The transport activity is assumed by the flows of the container vessels and trucks. Different characteristics of the arrival flows are assumed (intervals between transport units, number of containers to unload). Quay cranes provide the container transfer. The stacking areas consist in one capacity area on the quay for the quick transfer on trucks. The simulation results lead to the conclusion that it can be achieved berth high occupancy and minimization of vessels waiting time at the port if the vessels inflows follow a distribution with small variance around the ideal value.


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