Optimization of Costs in Empty Container Repositioning

dc.contributor.author Mehmet Yasin Göçen
dc.contributor.author Öykü Çağlar
dc.contributor.author Elif Ercan
dc.contributor.author Damla Kizilay
dc.contributor.author Ercan, Elif
dc.contributor.author Kizilay, Damla
dc.contributor.author Göçen, Mehmet Yasin
dc.contributor.author Çağlar, Öykü
dc.contributor.editor M.N. Osman Zahid , R. Abd. Aziz , A.R. Yusoff , N. Mat Yahya , F. Abdul Aziz , M. Yazid Abu , N.M. Durakbasa , M.G. Gençyilmaz
dc.date.accessioned 2025-10-06T17:51:11Z
dc.date.issued 2020
dc.description.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.
dc.description.sponsorship This study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) in the program of “2209-B Undergraduate Research Projects for Industrial Applications Fellowship Program.” We would like to thank our colleagues İdil Efe, Doruk Kızıltunç, Volkan Helvacı, Koray Çetin, and Barış Atay for their help and contribution to the study.
dc.description.sponsorship Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, TÜBITAK
dc.identifier.doi 10.1007/978-3-030-31343-2_62
dc.identifier.isbn 9789819650583, 9783031991585, 9783031948886, 9789819667314, 9789811937156, 9783030703318, 9789811622779, 9789811969447, 9789819701056, 9789819748051
dc.identifier.isbn 9789811509490
dc.identifier.isbn 9783030313425
dc.identifier.issn 21954364, 21954356
dc.identifier.issn 2195-4356
dc.identifier.scopus 2-s2.0-85076206974
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85076206974&doi=10.1007%2F978-3-030-31343-2_62&partnerID=40&md5=74fc3ac584145bef7082819eb9cf9282
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/9325
dc.identifier.uri https://doi.org/10.1007/978-3-030-31343-2_62
dc.language.iso English
dc.publisher Springer Science and Business Media Deutschland GmbH
dc.relation.ispartof 19th International Symposium for Production Research ISPR 2019
dc.rights info:eu-repo/semantics/closedAccess
dc.source Lecture Notes in Mechanical Engineering
dc.subject 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
dc.subject 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
dc.subject Cost Reduction
dc.subject Mixed Integer Linear Programming Model
dc.subject Empty Container Repositioning
dc.subject Optimization
dc.subject Decision Support System
dc.title Optimization of Costs in Empty Container Repositioning
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.departmenttemp [Göçen M.Y.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Çağlar Ö.] Department of Industrial Engineering, Yasar University, Bornova, Turkey; [Ercan E.] Department of Industrial Engineering, Dokuz Eylul University, İzmir, Turkey; [Kizilay D.] Department of Industrial Engineering, Yasar University, Bornova, Turkey
gdc.description.endpage 747
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
gdc.description.startpage 732
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gdc.virtual.author Kizilay, Damla
gdc.virtual.author Ercan, Elif
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person.identifier.scopus-author-id Göçen- Mehmet Yasin (57212214789), Çağlar- Öykü (57212211775), Ercan- Elif (57212212931), Kizilay- Damla (56021573000)
project.funder.name This study is supported by The Scientific and Technological Research Council of Turkey (TUBITAK) in the program of “2209-B Undergraduate Research Projects for Industrial Applications Fellowship Program.” We would like to thank our colleagues İdil Efe Doruk Kızıltunç Volkan Helvacı Koray Çetin and Barış Atay for their help and contribution to the study.
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