The Determination of the Number of Tugboats in the Area of Towage Service Authorization by Using Simulation Modelling Technique

Nas, Selçuk; Özkan, Emin Deniz; Uçan, Emre

doi:10.5505/jems.2016.36744

Cited by 5 publications

(9 citation statements)

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“…In one of the simulation studies focusing entirely on towage services, Nas 1 aimed to determine the optimum parking locations of tugboats belonging to an organization providing towage services in a port in Turkey. Nas et al 7 developed a simulation model to examine the effect of maritime traffic in a port on the NT. Shahpanah et al 9 focused on the waiting time of ships for towage operations in container terminals and attacked the queuing problem in towage operations by simulation to reduce the average waiting time.…”

Section: Literature Reviewmentioning

confidence: 99%

A simulation model for resource allocation in port towage services

Özkan,

Nas

2023

SIMULATION

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In the face of developments in maritime transportation due to globalization, ports are tending toward new tugboat investments in order to respond to the increasing demand. Due to the high costs of tugboats, organizations may face high investment costs. It is important to determine the most suitable number of tugboats, considering the variables in a port area where towage services will be provided. In this study, a simulation model was developed to determine sufficient tugboat allocation according to some variables in ports. The simulation model was subjected to various experiments, and statistical analyses of the obtained results were performed. The relationships between the variables affecting the level of towage service were revealed.

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Section: Literature Reviewmentioning

confidence: 99%

A simulation model for resource allocation in port towage services

Özkan,

Nas

2023

SIMULATION

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“…Since ports/terminals have a complex structure, they are modeled and analyzed mostly with simulation techniques instead of analytical methods. [28][29][30][31] The ProModel simulation software, which was used in many studies 4,32,33 before and tested its reliability and validity in terms of performance and outputs, was used in this study.…”

Section: Problem Descriptionmentioning

confidence: 99%

“…By giving pilotage and towage services to the ships whose service processes at the berths were completed, the ships are provided to leave the port. 4,5 Port capacity is generally related to the number of berths available to ship traffic and cargo handling capacity. It should be planned so as to ensure minimum waiting time of ships and maximum use of berth facilities.…”

Section: Introductionmentioning

confidence: 99%

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A simulation model for evaluating the cargo transfer alternatives in liquid cargo terminals

et al. 2022

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Tanker ships arriving at liquid cargo terminals have to wait for getting service due to various operational restrictions in the terminal. Waiting time is the time passed until the tankers get service after the notice of readiness. The increase in the waiting times of tanker ships causes high demurrage costs. Reducing the waiting times of ships is of vital importance for the operational efficiency of the terminal. In this study, it is aimed to develop a simulation model in which alternative solutions in the cargo transfer operations can be tested to reduce the waiting times of tanker ships. The simulation model has several constraints that can be encountered in liquid cargo terminals, and it can be adapted to any liquid cargo terminal. The developed model was then applied to a liquid cargo terminal in Turkey.

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“…Similarly, it is observed that there are limited studies on tugboats, which is one of the most important types of service ship. The related literature on tugboats is generally on the problems of scheduling and allocation (Liu, 2009;Wang et al, 2012;Nas et al, 2016). There are also some studies on the selection and braking/towing force of tugboats (Yang et al, 2010;Çakíroglu et al, 2018;Balin et al, 2019).…”

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Decision Tree and Logistic Regression Analysis to Explore Factors Contributing to Harbour Tugboat Accidents

2020

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As tugboats interact very closely with ships in restricted waters, the possibility of accidents increases in these operations. Despite the high accident possibility, there is a gap in studies on tugboat accidents. This study aims to analyse accidents involving tugboats using data mining. For this purpose, a tugboat accidents dataset consisting of a total of 496 accident records for the period from 2008 to 2019 was collected. Logistic regression and decision tree algorithms were implemented to the dataset. The results revealed that tugboat propulsion type is the most important and influential factor in the severity of tugboat accidents. The inferences drawn from these results could be beneficial for tugboat operators and port authorities in enhancing their awareness of the factors affecting tugboat accidents. In addition, the outputs of this study can be a reference for management units in developing strategies for preventing tugboat accidents and can also be used in effective planning for practicable prevention programmes and practices.

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The Determination of the Number of Tugboats in the Area of Towage Service Authorization by Using Simulation Modelling Technique

Abstract: Öz Römorkörcülük hizmeti verecek bir teşkilatın ilk yatırım maliyetlerinin oldukça yüksek

Cited by 5 publications

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A simulation model for resource allocation in port towage services

A simulation model for resource allocation in port towage services

A simulation model for evaluating the cargo transfer alternatives in liquid cargo terminals

Decision Tree and Logistic Regression Analysis to Explore Factors Contributing to Harbour Tugboat Accidents

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