Prioritizing solutions of green Reverse logistics barriers with Fuzzy DEMATEL - FUCOM - SWARA methods

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dc.authoridDerse, Onur/0000-0002-4528-1999
dc.contributor.authorDerse, Onur
dc.date.accessioned2025-03-17T12:27:19Z
dc.date.available2025-03-17T12:27:19Z
dc.date.issued2024
dc.departmentTarsus Üniversitesi
dc.description.abstractGreen Logistics (GL) and Reverse Logistics (RL) concepts are important for the sustainable development of logistics activities. Although the concept of RL seems to be a part of GL, it is not correct to consider all activities carried out within RL within the scope of GL and it is important to integrate these two concepts. To support the Sustainable Development Goals (SDGs), these two concepts are discussed in an integrated manner in this study. The main objectives of this study are to find barriers in the RL and GL concepts, to cluster barriers, and to present solution strategies. In this study, 21 barriers to GL and 28 barriers to RL are determined by a detailed literature review under the categories of Management & Organizational, Economic & Financial, Social, Technology & Infrastructure, Environment, and Legal. GL and RL barriers are clustered and 17 solution strategies are presented within the scope of Green Reverse Logistics (GRL) with the support of a literature review and expert opinion. Developed solution strategies are examined by the Fuzzy DEMATEL, FUCOM, and SWARA methods. The solution strategies are assessed, and their impact levels are ranked through the applied methods. As a result of the study, it is seen that the strategies that affect all strategies the most are Provision of financial, administrative, and infrastructure support and Increase of public awareness on environmental. In the results of the research, it is determined that the four most effective solution strategies are Increase of public awareness on environmental, Collaboration between functions & stakeholders, Provision of financial, administrative, and infrastructure support, and Benchmarking the practices. Such a detailed study has not been found, and it is thought that the study will lead to the development of a sustainable understanding in terms of both addressing GRL problems together and developing solution strategies. Implementing the strategies in the order determined as a result of the study will support the effective removal of barriers to GRL.
dc.identifier.doi10.1016/j.ecolind.2024.112198
dc.identifier.issn1470-160X
dc.identifier.issn1872-7034
dc.identifier.scopus2-s2.0-85194534298
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.ecolind.2024.112198
dc.identifier.urihttps://hdl.handle.net/20.500.13099/2195
dc.identifier.volume165
dc.identifier.wosWOS:001249189400001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorDerse, Onur
dc.language.isoen
dc.publisherElsevier
dc.relation.ispartofEcological Indicators
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250316
dc.subjectGreen reverse logistics
dc.subjectSustainability
dc.subjectBarriers and solutions
dc.subjectFuzzy DEMATEL Method
dc.subjectFUCOM
dc.subjectSWARA method
dc.titlePrioritizing solutions of green Reverse logistics barriers with Fuzzy DEMATEL - FUCOM - SWARA methods
dc.typeArticle

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