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A case study of heterogeneous fleet vehicle routing problem: Touristic distribution application in Alanya

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dc.contributor.author Karagül, Kenan
dc.contributor.author Güngör, İbrahim
dc.date.accessioned 2019-10-01T08:16:15Z
dc.date.available 2019-10-01T08:16:15Z
dc.date.issued 2014-08-15
dc.identifier.citation Karagül, K., ve Güngör, İ. (2014b). A case study of heterogeneous fleet vehicle routing problem: Touristic distribution application in Alanya. An International Journal of Optimization and Control, 4(2), 67-76. tr_TR
dc.identifier.issn 2146-5703
dc.identifier.uri http://acikerisim.pau.edu.tr:8080/xmlui/handle/11499/26459
dc.description.abstract In this study, Fleet Size and Mix Vehicle Routing Problem is considered in order to optimize the distribution of the tourists who have traveled between the airport and the hotels in the shortest distance by using the minimum cost. The initial solution space for the related methods are formed as a combination of Savings algorithm, Sweep algorithm and random permutation alignment. Then, two well-known solution methods named as Standard Genetic Algorithms and random search algorithms are used for changing the initial solutions. Computational power of the machine and heuristic algorithms are used instead of human experience and human intuition in order to solve the distribution problem of tourists coming to hotels in Alanya region from Antalya airport. For this case study, daily data of tourist distributions performed by an agency operating in Alanya region are considered. These distributions are then modeled as Vehicle Routing Problem to calculate the solutions for various applications. From the comparisons with the decision of a human expert, it is seen that the proposed methods produce better solutions with respect to human experience and insight. Random search method produces a solution more favorable in terms of time. As a conclusion, it is seen that, owing to the distribution plans offered by the obtained solutions, the agencies may reduce the costs by achieving savings up to 35%. tr_TR
dc.language.iso en tr_TR
dc.relation.isversionof 10.11121/ijocta.01.2014.00185 tr_TR
dc.rights info:eu-repo/semantics/openAccess tr_TR
dc.subject Tourism; tourist distribution; vehicle routing problem; fleet size and mix vehicle routing problem; heuristic algorithms. tr_TR
dc.title A case study of heterogeneous fleet vehicle routing problem: Touristic distribution application in Alanya tr_TR
dc.type article tr_TR
dc.identifier.volume 4 tr_TR
dc.identifier.issue 2 tr_TR
dc.identifier.startpage 67 tr_TR
dc.identifier.endpage 76 tr_TR
dc.source.title An International Journal of Optimization and Control: Theories & Applications (IJOCTA) tr_TR
dc.relation.publicationCategory Uluslararası Hakemli Dergi tr_TR
dc.identifier.index TRDizin tr_TR


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