The impact of geopolitical conflict and supply chain (SC) uncertainties in the global gas trading context is a burgeoning area of research. The strategic imperative of optimizing resource and technology utilization through cost optimization models within SC dynamics is realized. This study examines the effectiveness of linear programming techniques in mitigating the transportation challenges in the landscape of global gas trade, particularly amidst geopolitical disruptions in the SC. Computational tests underscore the substantial efficiency gains provided by this method, highlighting its capacity to generate significantly more efficient solutions to transportation problems. The findings indicate that the model shows promise for practical implementation, showcasing a notable reduction in transportation costs across the three primary markets for liquefied natural gas (LNG). Significantly, this reduction surpasses a quarter of the original expenses, indicating the potential for substantial cost savings in turbulent geopolitical environments and uncertain SCs. This study emphasizes the pivotal role of cost optimization models in navigating uncertainty and enhancing efficiency within the intricate and volatile landscape of global gas trading supply chains.

This article examines the possibility of answering the question” can the Arab’s natural gas secure the gas requirements in Europe? “To answer the question, an economic analysis of natural gas was conducted to examine reserve, supply, demand, and international trade first. Second, an economic model to examine distances and transportation costs, for transferring goods from various points of supply to various points of demand, was adopted. The North-West Corner model approach, a QM for Windows-based economic strategy to solve the transportation model problem structure in linear programming, has been used in this regard. Our findings demonstrate that the model is suitable for application since it provides the least distances and the least transportation costs compared to other alternatives. The model estimated that a cost of $309.41 is required to transfer one MMBtu of LNG from origins to final destinations. A decrease of $34.304/MMBtu, 10%, compared to $343.714 /MMBtu. It is concluded that the Arab’s gas could fulfil gas requirements in Europe, and mutual benefit can be accomplished for both parties. European countries will benefit from acquiring new places with less distances and lower delivery costs, and Arab countries would have the chance to get new consumers and play a role in the market given their collective gas reserves and their advantageous strategic locations.

In this paper, economic analysis on the effect of polyester fibers with high strength on the behavior of Hot Mix Asphalt (HMA) is performed. The results indicate that strength is increased by adding fiber to asphalt. Also, unit weight of asphalt mixture was used as a variable parameter in the analyses. The results show that in some certain percentages of fiber, in addition to the enhancement in mechanical properties of HMA mixture the economic benefit value becomes more than the cost and therefore adding polyester fibers with high stability is suggested for the mixture of modified asphalt concrete. Finally, it can be concluded that adding fibers in values of 0.2% to 0.5% has the best result on the asphalt mixture, which because of high resistance and economic aspects makes it more efficient to be used in the highways of warm regions containing traffic.