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

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dc.authoridküçükönder, hande/0000-0002-0853-8185
dc.authoridTirkolaee, Erfan Babaee/0000-0003-1664-9210
dc.authorwosidküçükönder, hande/JDN-0877-2023
dc.authorwosidTirkolaee, Erfan Babaee/U-3676-2017
dc.contributor.authorGorcun, Omer Faruk
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorKucukonder, Hande
dc.contributor.authorGargf, Chandra Prakash
dc.date.accessioned2024-05-19T14:42:50Z
dc.date.available2024-05-19T14:42:50Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
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.en_US
dc.identifier.doi10.1016/j.ins.2024.120161
dc.identifier.issn0020-0255
dc.identifier.issn1872-6291
dc.identifier.scopus2-s2.0-85183161163en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.ins.2024.120161
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5291
dc.identifier.volume661en_US
dc.identifier.wosWOS:001173857100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Science Incen_US
dc.relation.ispartofInformation Sciencesen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.snmz20240519_kaen_US
dc.subjectIntuitionistic Fuzzy Setsen_US
dc.subjectMulti -Criteria Group Decision -Makingen_US
dc.subjectReefer Trailer Selectionen_US
dc.subjectFood Logisticsen_US
dc.subjectCold Chainen_US
dc.titleAssessing and selecting sustainable refrigerated road vehicles in food logistics using a novel multi-criteria group decision-making modelen_US
dc.typeArticleen_US

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