The Vehicle Routing Problem (VRP) is important in supply chain management as it optimizes goods and services delivery to customers, resulting in improved organizational productivity. This study introduces an innovative hybrid methodology integrating the Multi-Criteria Decision Making (MCDM) approach with Clarke and Wright’s savings algorithm to tackle the capacitated vehicle routing problem. In addition to the conventional aim of optimizing truck routes, this strategy considers customer satisfaction. The initial step involves clustering all customers through the utilization of Clarke and Wright’s savings algorithm, which efficiently organizes customers into groups based on their geographical closeness. Following this, the hybrid Best-Worst Method (BWM) and Ranking Alternatives For Similarity to Ideal Solution (RAFSI) method are utilized to allocate the best routes and establish customer prioritization. The major objective of this study is to reduce overall transportation expenses while ensuring compliance with vehicle capacity limitations, aiming to improve customer satisfaction. The proposed approach seeks to balance cost-efficiency and customer-centricity in vehicle routing by including customer prioritizing and Clarke and Wright’s savings algorithm. The effectiveness and practical application of the proposed methodology are demonstrated through a case in the food industry. The obtained results using the proposed methodology give a more precise platform for decision-making and highlight its relevance for enhancing supply chain performance and addressing the intricate challenges associated with the capacitated vehicle routing problem. The hybrid technique presented in this study provides a comprehensive framework for effectively tackling the intricate challenges associated with the capacitated vehicle routing problem.

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The agriculture sector in the Republic of Serbia holds significant economic and social importance due to its substantial contribution to domestic gross domestic product (GDP) and employment of a large number of people. Agricultural products play a crucial role in Serbia's export structure. Food is one of Serbia's major export products, with a trade surplus steadily increasing since 2005. Fruit cultivation, as part of the agricultural sector, is of great importance, with domestic producers effectively utilizing natural advantages for production, thus achieving recognition and competitiveness internationally. This study aims to analyze the trends in foreign trade parameters over a decade, focusing on one agricultural product, specifically apricots. The research employs a quantitative research method using standard descriptive statistical instruments. Results indicate that Serbia maintains a trade surplus in apricots, with significant fluctuations and varying growth and decline trends in analyzed trade parameters over the period.

This study empirically explores short run and long run causality between institutional financial inclusion and income inequality in 22 members of European Union (EU) divided in two subpanels: Old EU members and New EU Member states (NMS). A panel VECM (PVECM) approach is utilized to observe the dynamic causal relationship between financial inclusions on income inequality when control the effect of economic development on inequality. The current level of financial inclusion in the old EU members only through expansion ATMs services lead to decrease income inequality in long run while it contributes through expansion commercial bank branches in short run. On the contrary, the study finds weak and subdued effect financial inclusion on income inequality in the NMS countries in long run, while only expansion commercial bank branches lead to decrease income inequality in short run. The results show that financial inclusion measured by commercial bank branches contributes to more equal income distribution for both regions, only in the short run. In fact, deepening institutional financial inclusions by increasing availability and diversify of specialized financial products and ATM services are still needed to address impediments to financial inclusion, especially in the NMS.

One of the tasks of mathematics education is to develop students' logical thinking. Logical problems that require a certain level of sharpness, ingenuity, and rational reasoning present a good challenge that can further motivate students to engage with mathematics. The progress of science and technology has led to the emergence of numerous tools that can be used in mathematics education. With the advent of artificial intelligence, these tools got a more active role as communication with users reached a new user-friendly dimension resembling human-to-human interaction. The unpredictability of the flow and the speed of development of artificial intelligence raises the question of whether it will ever reach or surpass the level of human sharpness and ingenuity. This paper illustrates inaccurate and partially accurate reasoning of artificial intelligence in solving logical problems.

The Carbon Border Adjustment Mechanism (CBAM) is an import fee levied by a region, i.e., the European Union (EU), that taxes carbon on goods produced in countries that do not tax carbon. This EU climate neutrality support mechanism, which should be implemented by 2050, has caused some concerns. For example, it could reduce the export of the EU’s trading partners, especially those countries largely dependent on exporting energy-intensive goods and materials to the EU. Least developed countries, due to their high risk of vulnerability and high exposure, could face particularly pronounced adverse effects from the CBAM’s introduction. Therefore, this article aims to analyze how the introduction of the CBAM will affect the EU’s external trade partners, with particular attention to its potential consequences for selected economies. Most of the literature related to the introduction of the CBAM focuses on the consequences for EU countries. However, this mechanism, which aims to decrease CO2 emissions and encourage a low-carbon transition, could disproportionately affect some countries outside the EU. That is why the article uses data on the exposure of selected non-EU countries to the CBAM, utilizing data on the export of the CBAM-affected products to the EU and CO2 emission intensity. The analysis encompasses five regions and 59 countries, using data from the year 2019. The rationale for using 2019 data is to avoid the effects of global shocks in recent years, such as the coronavirus pandemic and Russia’s invasion of Ukraine. The analysis results reveal that the exposure of regions and countries varies based on the strength on their trade relations with the EU, leading to different trade impacts from the CBAM. The lowest exposure is observed in the regions of the Americas and Australia. This article provides valuable insights to policymakers and entrepreneurs in navigating the challenges and opportunities arising from the interlinkage of environmental policies and global trade dynamism. It can help facilitate decision-making related to participation in foreign trade involving products with a higher carbon emissions.