Optimization of Costs in Empty Container Repositioning

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Date

2020

Authors

Mehmet Yasin Göçen
Öykü Çağlar
Elif Ercan
Damla Kizilay

Journal Title

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Volume Title

Publisher

Springer Science and Business Media Deutschland GmbH

Open Access Color

Green Open Access

No

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No
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Top 10%
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Average
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Top 10%

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Abstract

In this study the empty container repositioning problem in a liner shipping company is considered. The research includes necessary information about the company and maritime transportation highlighting the importance of empty container storage. As the worldwide containerized trade increases the container traffic increases. Consequently the surplus containers are repositioned to locations where they are required which causes high costs. Therefore in the existing system the company deals with higher prices. In this study the storage location of the empty containers which are coming from the vessels to the ports are determined according to the different cost policies of the warehouses. Thus our problem is defined as an empty container repositioning problem. The primary objective of this study is to build an operations-research based decision-making system in order to minimize the total cost regarding changing prices of warehouses and transportation cost of containers. In the decision-making process this study will help the company to overcome the complexity about repositioning empty containers regarding the container size storage day of the containers changing inventory holding costs of the warehouses and the transportation costs of the containers from port to the corresponding warehouses. Taking into consideration all these parts of the problem this study will eventually help in reducing inventory holding and transportation costs of the empty container storage. As a solution methodology the mixed integer linear programming model is proposed and optimal solutions are obtained in a concise time. © 2022 Elsevier B.V. All rights reserved.

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Keywords

Cost Reduction, Decision Support System, Empty Container Repositioning, Mixed Integer Linear Programming Model, Optimization, Artificial Intelligence, Containers, Cost Reduction, Decision Making, Integer Programming, Operations Research, Warehouses, Waterway Transportation, Costs Reduction, Empty Container Repositioning, Holding Costs, Inventory Holding, Liner Shipping, Maritime Transportation, Mixed Integer Linear Programming Model, Optimisations, Shipping Companies, Transportation Cost, Decision Support Systems, Artificial intelligence, Containers, Cost reduction, Decision making, Integer programming, Operations research, Warehouses, Waterway transportation, Costs reduction, Empty container repositioning, Holding costs, Inventory holding, Liner shipping, Maritime transportation, Mixed integer linear programming model, Optimisations, Shipping companies, Transportation cost, Decision support systems, Cost Reduction, Mixed Integer Linear Programming Model, Empty Container Repositioning, Optimization, Decision Support System

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OpenCitations Citation Count
4

Source

19th International Symposium for Production Research ISPR 2019

Volume

Issue

Start Page

732

End Page

747
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Scopus : 6

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Mendeley Readers : 17

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6

checked on Apr 10, 2026

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