Gorcun, Omer FarukTirkolaee, Erfan BabaeeKucukonder, HandeGargf, Chandra Prakash2024-05-192024-05-1920240020-02551872-6291https://doi.org10.1016/j.ins.2024.120161https://hdl.handle.net/20.500.12713/5291In 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.eninfo:eu-repo/semantics/closedAccessIntuitionistic Fuzzy SetsMulti -Criteria Group Decision -MakingReefer Trailer SelectionFood LogisticsCold ChainArticle661WOS:0011738571000012-s2.0-85183161163N/A10.1016/j.ins.2024.120161Q1