Assessing and selecting sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group decision-making model

dc.contributor.authorGorcun, Omer Faruk
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorKüçükönder, Hande
dc.contributor.authorGargf, Chandra Prakash
dc.contributor.authorKüçükönder, Hande
dc.date.accessioned2025-10-18T10:10:27Z
dc.date.created2024
dc.date.issued2024
dc.departmentFakülteler, İktisadi ve İdari Bilimler Fakültesi, İşletme Bölümü
dc.description.abstractIn recent years, food loss and waste (FLW) have become an essential issue at the top of the international community's agenda. Since more people are afflicted by this problem every day, the global population would be forced into poverty and starvation without finding an immediate solution. Therefore, in order to decrease FLW, well-designed and sustainable food and cold supply chains (FCSCs) are needed. Additionally, refrigerated transportation systems can be crucial in developing sustainable supply chains. According to some empirical research, the technological capabilities of reefer vehicles or trailers differ significantly. Thus, selecting the reefer vehicle is a complex decision-making problem and selecting appropriate reefer vehicles may have a critical role in constructing successful supply chain systems and reducing food waste and loss. The current research proposes an efficient, robust and practical decision-making framework that can overcome uncertainties to tackle this decision-making problem. The managerial and strategic implications of the study also aid in decreasing FLW and restructuring FSC for industrial context and support to the UN's sustainable development goals (SDGs). Later, an exhaustive sensitivity analysis was conducted to examine the developed model's validity and application, confirming the model's robustness and dependability.
dc.identifier.doi10.1016/j.ins.2024.120161
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.scopus2-s2.0-85183161163
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.ins.2024.120161
dc.identifier.urihttps://hdl.handle.net/11772/21880
dc.identifier.volume661
dc.identifier.wosWOS:001173857100001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofInformation Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.relation.sdgGoal-09: Industry Innovation And Infrastructure
dc.relation.sdgGoal-12: Responsible Consumption and Production
dc.relation.sdgGoal-17: Partnerships for the Goals
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzWoS_20251016
dc.subjectIntuitionistic Fuzzy Sets
dc.subjectMulti -Criteria Group Decision -Making
dc.subjectReefer Trailer Selection
dc.subjectFood Logistics
dc.subjectCold Chain
dc.titleAssessing and selecting sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group decision-making model
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication0872bd73-169a-4685-b8af-048c5908b57b
relation.isAuthorOfPublication.latestForDiscovery0872bd73-169a-4685-b8af-048c5908b57b

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