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This research attempts to present a solid transportation problem (STP) mechanism in uncertain and indeterminate contexts, allowing decision makers to select their acceptance, indeterminacy and untruth levels.

Due to the lack of reliable information, changeable economic circumstances, uncontrolled factors and especially variable conditions of available resources to adapt to the real situations, the authors are faced with a kind of uncertainty and indeterminacy in constraints and the nature of the parameters of STP. Therefore, an approach based on neutrosophic logic is offered to make it more applicable to real-world circumstances. In this study, the triangular neutrosophic numbers (TNNs) have been utilized to represent demand, transportation capacity, accessibility and cost. Then, the neutrosophic STP was converted into an interval programming problem with the help of the variation degree concept. Then, two simple linear programming models were extracted to obtain the lower and upper bounds of the optimal solution.

The results reveal that the new model is not complicated but more flexible and more relevant to real-world issues. In addition, it is evident that the suggested algorithm is effective and allows decision makers to specify their acceptance, indeterminacy and falsehood thresholds.

Under the transportation literature, there are several solutions for TP and STP in crisp, fuzzy set (FS) and intuitionistic fuzzy set (IFS) conditions. However, the STP has never been explored in connection with neutrosophic sets to the best of the authors’ knowledge. So, this work tries to fill this gap by coming up with a new way to solve this model using NSs.

The purpose of this paper is to identify major research topics and propose future research directions for the short food supply chains (SFSCs) by conducting a comprehensive bibliometric analysis.

A step-by-step literature review was performed. A total of 684 scientific papers were retrieved from Scopus, dated between 2000 and 2020. Then, content analysis was conducted based on 162 articles selected from the co-citation analysis. Bibexcel and Gephi software were employed to analyse, integrate and visualize the data.

The results of the descriptive analysis provided insights into publication trends, prominent countries, institutions and journal sources, which had not been fully captured or evaluated by previous reviews. In the citation analysis, the authors determined the highly cited papers based on the global citation. Additionally, in the co-citation analysis, the authors derived six research clusters, identified research gaps in each of six clusters and then suggested possible future research directions.

Although several reviews have focused on certain aspects of SFSCs, a comprehensive review has been lacking. This study is among the first to comprehensively examine the knowledge structure of SFSCs research by using rigorous bibliometric analysis. More importantly, the future lines presented here offer potential insights for SFSCs researchers and policymakers.