A simulation model proposal to improve the productivity of container terminal operations through investment alternatives

Mucahit Sislioglu; Metin Celik; Suleyman Ozkaynak

doi:10.1080/03088839.2018.1481544

A simulation model proposal to improve the productivity of container terminal operations through investment alternatives

Mucahit Sislioglu^*, Metin Celik, Suleyman Ozkaynak

^*Corresponding author for this work

Department of Basic Sciences

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

Development of a container terminal (CT) closely deals with the efficiency of operating systems. This paper proposed a model to decide optimum investment alternatives to improve CT productivity. The proposed approach incorporates the parameters such as number of quay cranes, total length of a quay, yard trucks and yard cranes. The objectives of the model are minimizing the average ship turnaround time while maximizing the container throughput generated by the terminal. The methodology behind the model includes Discrete Event Simulation Model, data envelopment analysis (DEA) and cost-efficiency analysis. Considering container ship visits to Container Terminal Alpha (CT-A), the proposed model is demonstrated with 16 different investment scenario along with 10-months recorded operational data. The results addressed the Scenario LENG-2 (extent current total length of quays from 1.560 meters to 2.000 meters) as the optimal feasible solution for an investment in existing conditions. The model is also considered to besides contributions to investment decisions in CT, the developed framework might be extended to other transportation infrastructures.

Original language	English
Pages (from-to)	156-177
Number of pages	22
Journal	Maritime Policy and Management
Volume	46
Issue number	2
DOIs	https://doi.org/10.1080/03088839.2018.1481544
Publication status	Published - 17 Feb 2019

Bibliographical note

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Funding

*This article is produced from Ph.D. dissertation entitled “A computer simulation model to determine the productivity of an investment on a container terminal ” which has been executed in Maritime Transportation Engineering Program of Piri Reis University, Graduate School of Science Engineering and Technology, completed in May 2017.

Funders	Funder number
Graduate School of Science Engineering and Technology
Piri Reis University

Keywords

container terminal
investment analysis
Operation management
simulation
terminal productivity

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1080/03088839.2018.1481544

Cite this

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title = "A simulation model proposal to improve the productivity of container terminal operations through investment alternatives",

abstract = "Development of a container terminal (CT) closely deals with the efficiency of operating systems. This paper proposed a model to decide optimum investment alternatives to improve CT productivity. The proposed approach incorporates the parameters such as number of quay cranes, total length of a quay, yard trucks and yard cranes. The objectives of the model are minimizing the average ship turnaround time while maximizing the container throughput generated by the terminal. The methodology behind the model includes Discrete Event Simulation Model, data envelopment analysis (DEA) and cost-efficiency analysis. Considering container ship visits to Container Terminal Alpha (CT-A), the proposed model is demonstrated with 16 different investment scenario along with 10-months recorded operational data. The results addressed the Scenario LENG-2 (extent current total length of quays from 1.560 meters to 2.000 meters) as the optimal feasible solution for an investment in existing conditions. The model is also considered to besides contributions to investment decisions in CT, the developed framework might be extended to other transportation infrastructures.",

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AU - Ozkaynak, Suleyman

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N2 - Development of a container terminal (CT) closely deals with the efficiency of operating systems. This paper proposed a model to decide optimum investment alternatives to improve CT productivity. The proposed approach incorporates the parameters such as number of quay cranes, total length of a quay, yard trucks and yard cranes. The objectives of the model are minimizing the average ship turnaround time while maximizing the container throughput generated by the terminal. The methodology behind the model includes Discrete Event Simulation Model, data envelopment analysis (DEA) and cost-efficiency analysis. Considering container ship visits to Container Terminal Alpha (CT-A), the proposed model is demonstrated with 16 different investment scenario along with 10-months recorded operational data. The results addressed the Scenario LENG-2 (extent current total length of quays from 1.560 meters to 2.000 meters) as the optimal feasible solution for an investment in existing conditions. The model is also considered to besides contributions to investment decisions in CT, the developed framework might be extended to other transportation infrastructures.

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A simulation model proposal to improve the productivity of container terminal operations through investment alternatives

Abstract

Bibliographical note

Funding

Keywords

UN SDGs

Access to Document

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