Dynamic Freight Planning with Hybrid Cross-Docking under Carbon Tax and Bounded Storage Age

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dc.authorid0000-0003-2588-0270
dc.authorid0000-0002-5438-3743
dc.contributor.authorKurt, Atil
dc.contributor.authorGumus, Mehmet
dc.date.accessioned2026-01-24T12:29:06Z
dc.date.available2026-01-24T12:29:06Z
dc.date.issued2025
dc.departmentAlanya Alaaddin Keykubat Üniversitesi
dc.description.abstractThis paper discusses the dynamics of supply chain network optimization, specifically focusing on the role of cross-docking. As experienced by the disruptions of the COVID-19 era, external events can trigger supply chain interruptions, necessitating temporary storage solutions. The study examines a network with diverse suppliers, retailers, products, and hybrid cross-docking (HCD) facilities, wherein both transshipment and short-term inventory with restricted storage-age are permitted. Routing of goods from suppliers to retailers encompasses both direct paths and intermediate HCD points, involving multiple truck types. Importantly, all shipments are subject to a carbon tax, factoring in the imperative of mitigating carbon emissions. A dynamic mixed-integer linear programming model is formulated, alongside a greedy-type heuristic algorithm, to optimize the system's total cost. Various computational experiments are used to evaluate the efficacy and solution quality of these methods. Extensive sensitivity analysis, complemented by statistical tests, dissects the impact of various model parameters within the computational experiments. Findings show that allowing storage at HCD facilities, with limited holding time, does not increase system-wide costs but instead bolsters supply chain flexibility. Moreover, carbon tax requires a shift in truck-type selection and plays an important role in reducing the total load-distance traveled, and, therefore, the total carbon emissions.
dc.identifier.doi10.1177/03611981251318338
dc.identifier.endpage470
dc.identifier.issn0361-1981
dc.identifier.issn2169-4052
dc.identifier.issue6
dc.identifier.scopus2-s2.0-105004004155
dc.identifier.scopusqualityQ2
dc.identifier.startpage450
dc.identifier.urihttps://doi.org/10.1177/03611981251318338
dc.identifier.urihttps://hdl.handle.net/20.500.12868/5128
dc.identifier.volume2679
dc.identifier.wosWOS:001475111700001
dc.identifier.wosqualityQ3
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherSage Publications Inc
dc.relation.ispartofTransportation Research Record
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20260121
dc.subjectfreight planning and logistics
dc.subjecttransportation network modeling
dc.subjectoptimization
dc.subjecttransportation and sustainability
dc.subjecttransportation and economic development
dc.titleDynamic Freight Planning with Hybrid Cross-Docking under Carbon Tax and Bounded Storage Age
dc.typeArticle

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