A Hybrid Meta-Heuristic Approach for Solving Single-Vessel Quay Crane Scheduling with Double-Cycling

Basit Öğe Kaydı
dc.contributor.authorEldemir, Fahrettin
dc.contributor.authorTaner, Mustafa Egemen
dc.date.accessioned2025-03-17T12:25:15Z
dc.date.available2025-03-17T12:25:15Z
dc.date.issued2025
dc.departmentTarsus Üniversitesi
dc.description.abstractThe escalating global demand for containerized cargo has intensified pressure on container terminals, which serve as vital nodes in maritime logistics. This study aims to enhance operational efficiency in non-automated container terminals by examining two meta-heuristic approaches-Ant Colony Optimization (ACO) and a hybrid Greedy Randomized Adaptive Search Procedure (GRASP)-Genetic Algorithm (GA)-for quay crane scheduling. Their performance is benchmarked across various problem scales, with process completion time serving as the primary metric. Based on these findings, the most effective approach is integrated into a newly developed Decision Support System (DSS) to streamline practical implementation. Statistical analyses confirm the robustness of both methods, underscoring how meta-heuristics combined with a DSS can optimize quay crane utilization, bolster maritime logistics, and ultimately boost terminal productivity.
dc.description.sponsorshipDeputyship for Research and Innovation, Ministry of Education [MoE-IF-UJ-R2-22-20560-1]; Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia
dc.description.sponsorshipThe authors extend their appreciation to the Deputyship for Research and Innovation, Ministry of Education in Saudi Arabia for funding this research work through project number MoE-IF-UJ-R2-22-20560-1.
dc.identifier.doi10.3390/jmse13020371
dc.identifier.issn2077-1312
dc.identifier.issue2
dc.identifier.scopus2-s2.0-85218862902
dc.identifier.scopusqualityQ2
dc.identifier.urihttps://doi.org/10.3390/jmse13020371
dc.identifier.urihttps://hdl.handle.net/20.500.13099/1579
dc.identifier.volume13
dc.identifier.wosWOS:001429923200001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherMdpi
dc.relation.ispartofJournal of Marine Science and Engineering
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectport management
dc.subjectmaritime transport
dc.subjectcontainer terminals
dc.subjectquay crane scheduling
dc.subjectmeta-heuristics
dc.subjectGRASP-GA
dc.subjectant colony optimization
dc.subjectdecision support system
dc.titleA Hybrid Meta-Heuristic Approach for Solving Single-Vessel Quay Crane Scheduling with Double-Cycling
dc.typeArticle

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu