A Sectoral Application for Green Vehicle Routing Problem Optimization with Capacity Constrained and Heterogeneous Fleet

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dc.contributor.authorDiskaya, Furkan
dc.contributor.authorDincer, Sait Erdal
dc.date.accessioned2025-03-09T10:48:37Z
dc.date.available2025-03-09T10:48:37Z
dc.date.issued2024
dc.departmentİstanbul Beykent Üniversitesi
dc.description.abstractThe vehicle routing problem (VRP), which is a type of traveling salesman problem (TSP), is a combinatorial optimization problem which determines the shortest route distribution from a central warehouse to customer points in certain locations. Today, global climate change resulting from high greenhouse gas emissions and the rapid decrease in natural resources have begun to threaten life as well as the sustainability of our economic structures. For this purpose, businesses have begun to prioritize to the concept of green logistics, which is based on the strategy of environmentally friendly activities in the production of goods and services. In this study, a mathematical model is proposed to solve the green vehicle routing problem with capacity limited and heterogeneous fleet (CHFGVRP), which is a type of vehicle routing problem under the green logistics strategy. Metaheuristic approaches produce successful solutions when solving routing problems with an NP-hard class problem structure. The presented model was developed by Ekol Inc., with the help of the Genetic Algorithm (GA) and Tabu Search (TS) metaheuristic solution approaches. It has been optimized as a real distribution operation for logistics businesses. The main purpose of the present study is assigning vehicles of different capacities of a logistics company to the most suitable loads for two different order sets, to determine the most appropriate customer point route. Thus, as transportation costs decrease thanks to fuel savings, the amount of carbon emissions released into the environment will also decrease. The results of this research will contribute to businesses which seek environmental and economic sustainability, as well as to the developing scientific literature on the subject.
dc.description.sponsorship*This study was produced from the thesis titled Vehicle Routing Optimization for The National Road Freight Transport in Green Logistics Management, which was accepted in the Operations Research Doctorate program of Marmara University
dc.identifier.doi10.26650/ekoist.2024.40.1451034
dc.identifier.endpage198
dc.identifier.issn2651-396X
dc.identifier.issue40
dc.identifier.scopusqualityN/A
dc.identifier.startpage183
dc.identifier.trdizinid1275248
dc.identifier.urihttps://doi.org/10.26650/ekoist.2024.40.1451034
dc.identifier.urihttps://search.trdizin.gov.tr/tr/yayin/detay/1275248
dc.identifier.urihttps://hdl.handle.net/20.500.12662/4622
dc.identifier.wosWOS:001318411800004
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakTR-Dizin
dc.language.isoen
dc.publisherIstanbul Univ
dc.relation.ispartofEkoist-Journal of Econometrics and Statistics
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250310
dc.subjectGreen vehicle routing problem
dc.subjectgenetic algorithm
dc.subjecttabu search
dc.titleA Sectoral Application for Green Vehicle Routing Problem Optimization with Capacity Constrained and Heterogeneous Fleet
dc.typeArticle

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