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GREEN VEHICLE ROUTING MODEL VIA LINEAR FRACTIONAL PROGRAMMING: A RETAIL CASE STUDY FOR MARMARA REGION, TURKIYE

dc.contributor.authorBas, Sema Akin
dc.contributor.authorOzkok, Beyza Ahlatcioglu
dc.date.accessioned2026-06-27T14:52:35Z
dc.date.issued2023
dc.description.abstractThe Vehicle Routing Problem (VRP) is a crucial subject in the discipline of logistics and transportation management since it connects the distribution centers to the arrival points of services and goods in the most efficient way possible. Considering the VRP in the framework of operational research, the optimization quality of the VRP mainly depends on an efficient model built for the network and the successful choice for the objective of the model. The optimization problem, which involves the objective function as the ratio of two functions, is described as Fractional Programming (FP), which has attracted noteworthy attention in the previous five decades because of its usefulness in modeling several decision processes in operations research, management science, and economics. In this research, we have studied a Linear Fractional Vehicle Routing Problem (LFVRP) regarding the contribution of the mathematical modeling of VRP to both the optimization literature and the commercial market, which is incontrovertible. For this purpose, we propose an iterative method for LFVRP that aims to optimize the delivery of goods and services while minimizing the rate of total cost/load without any variable transformation technique proposed for the first time. By this methodology of iterative optimization, unlike the literature, the mathematical complexity of the model will be facilitated as a Linear Programming Problem (LPP) and, meanwhile, provide the capability of considering multiple objectives (both cost and load) as one. Furthermore, by this advantage, it has been able to express a green-based approach by presenting an objective that minimizes fuel consumption which constructs transportation expenses, and hence it lowers its carbon footprint for our world while keeping the aim of maximum load. In order to illustrate the effectiveness of our approach, we have built a real-life model with real data in the retail sector in Turkiye and provided a comparative analysis.en
dc.description.urihttps://doi.org/10.23055/ijietap.2023.30.4.9377
dc.identifier.doi10.23055/ijietap.2023.30.4.9377
dc.identifier.eissn1943-670X
dc.identifier.endpage940
dc.identifier.issn1072-4761
dc.identifier.issue4
dc.identifier.startpage933
dc.identifier.urihttps://hdl.handle.net/20.500.14981/65717
dc.identifier.volume30
dc.identifier.wos001075237400001
dc.language.isoeng
dc.publisherUNIV CINCINNATI INDUSTRIAL ENGINEERING
dc.relation.ispartofINTERNATIONAL JOURNAL OF INDUSTRIAL ENGINEERING-THEORY APPLICATIONS AND PRACTICE
dc.subjectCapacitated Vehicle Routing
dc.subjectIterative Method
dc.subjectLinear Fractional Programming
dc.subjectMathematical Modelling
dc.subjectOptimization
dc.subjectEngineering
dc.titleGREEN VEHICLE ROUTING MODEL VIA LINEAR FRACTIONAL PROGRAMMING: A RETAIL CASE STUDY FOR MARMARA REGION, TURKIYE
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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