Simulating the Landside Congestion in a Container Terminal. The Experience of the Port of Naples (Italy)

Veloqui, M; Turias, Ignacio J.; Cerbán, Mar; González, Milagros Perucha; Buiza, Gracia; Beltrán, J.

doi:10.1016/j.sbspro.2014.12.175

Cited by 15 publications

(7 citation statements)

References 28 publications

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“…It proved that all processes inside the terminal are strongly dependent. The study shows (Table 1) that the solution should consider the decreasing simultaneously the time of service in the access gate and in the yard (Veloqui et al, 2014). Due to that, the implementation of an OCR system integrated to a dashboard was planned and different terminal operations systems (TOS) to improve the yard management were analysed.…”

Section: Resultsmentioning

confidence: 99%

Logistic Management Optimization in the Ports

Sánchez¹,

Buiza²,

Beltrán³

et al. 2015

JBE

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The aim of this paper is to show the results obtained and the methodology used to achieve better logistic organization of Mediterranean ports and logistics areas. Recently, we introduced a new methodology in the ports of Naples and Algeciras Bay in order to improve their logistics processes. This methodology was implemented as a part of the INTE-TRANSIT project, cofinanced by the MED Program with the aim to improve logistic processes and increase technological integration in Mediterranean ports. The methodology used in the ports of Naples and Algeciras Bay consists of four parts, two of which include a tool called VSM. VSM stands for "Value Stream Mapping", a tool to analyze and understand the flow of material and information that allow a deep knowledge of a process and identify the wastes. "Waste" in this context, is defined as something anything that adds cost to a product or service without adding value. The use of this methodology has allowed us to identify in detail the problems in both the information flow and material flow. It was detected that the acquisition of new technologies could facilitate and expedite the process of receiving, the location, the internal movements and the vessel loading.

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Section: Resultsmentioning

confidence: 99%

Logistic Management Optimization in the Ports

Sánchez¹,

Buiza²,

Beltrán³

et al. 2015

JBE

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“…J. Ruiz-Aguilar et al, 2015a;J. J. Ruiz-Aguilar et al, 2015b) and to simulate the landslide congestion in a port container terminal (Veloqui et al, 2014).…”

Section: Cit2016 -Xii Congreso De Ingeniería Del Transportementioning

confidence: 99%

Time analysis of the containerized cargo flow in the logistic chain using simulation tools: the case of the Port of Seville (Spain)

Aguilar

Turias

Cerbán

et al. 2016

Libro De Actas CIT2016. XII Congreso De Ingeniería Del Transporte

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RESUMENThe logistic chain that connects the capital of Spain (Madrid) with the Canary Islands has the Port of Seville as the port node. This port node makes possible to switch from one transport mode (railway) to another (maritime) at the container terminal of the port. Some constraints, such as the operational time window that restricts the freight train access into the port in a certain time-slot or the need of the reversal of the train before entering into port, lead to generate important time delays in the intermodal chain. A time analysis of the process is necessary in order to check the critical points. A simulation of the whole process from the goods departing the origin station by train until they leave the port of Seville by ship to the Canary Islands is performed. To this aim, a queuing model network was developed in order to simulate the travel time of the cargo. The database is composed of daily departures of goods train and daily departures of vessels (including times of docking, berthing or load/unload cargo). The final objective of this work is twofold: firstly, to provide a validated model of the containerized cargo flow and secondly, to demonstrate that this kind of queuing models can become a powerful supporting tool in making decisions about future investments.

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“…The specific application of this project was evaluating the impact on service levels with the expansion of the terminal. In literature, we can find container terminals who have constructed SM to evaluate expansions [36][37][38][39]. For example: Tang et al [36] presented the expansion project of Lushun Ro-Pax terminal; Wu et al, [37] used DES to evaluate the necessity of a tenth terminal in Hong Kong port, and if the existing facilities could handle more demand without getting inadequate service levels (vessel waiting times); Sheikholeslami et al, [38] applied DES to simulate a container terminal in Iran.…”

Section: Introductionmentioning

confidence: 99%

“…For example: Tang et al [36] presented the expansion project of Lushun Ro-Pax terminal; Wu et al, [37] used DES to evaluate the necessity of a tenth terminal in Hong Kong port, and if the existing facilities could handle more demand without getting inadequate service levels (vessel waiting times); Sheikholeslami et al, [38] applied DES to simulate a container terminal in Iran. They used the model to evaluate the effect of increasing the access channel depth and quay length to reduce container ships waiting times; Veloqui et al, [39] developed a discrete simulation model for the Consorzio Napoletano Container Terminal to evaluate the effect at incrementing the number of servers in the access gate and the yard. All these expansion projects [36][37][38][39] presented their studies tailored to the container terminal outlining the main points of the project.…”

Section: Introductionmentioning

confidence: 99%

Assessment of a container terminal expansion using simulation

López-González¹,

Medina-León²,

González-Ángeles³

et al. 2020

DYNA

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The paper presents a methodology to construct a Discrete Event Simulation model to assess the expansion of a container terminal. The methodology was applied to the Ensenada International Terminal located in Mexico. The simulation integrates all the operations of the container terminal including the arrival of vessels, trucks, and storage of containers. The expansion plan included the addition of anew berth, and additional storage yard space. The expansion model was evaluated under different demand increments. Recommendations were provided on the level of demand that the expansion may be able to serve. As a result, the additional berth will increase the capacity, but the projected storage space will support up to a 140% increase in demand with a 20% in reserve. The terminal must consider additional storage space either in the terminal or at an external facility for additional demand greater than 140%, or for having a larger storage reserve.

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Simulating the Landside Congestion in a Container Terminal. The Experience of the Port of Naples (Italy)

Cited by 15 publications

References 28 publications

Logistic Management Optimization in the Ports

Logistic Management Optimization in the Ports

Time analysis of the containerized cargo flow in the logistic chain using simulation tools: the case of the Port of Seville (Spain)

Assessment of a container terminal expansion using simulation

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