الفهرس 
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Abstract
In the contemporary landscape, marked by escalating logistical challenges and heightened environmental concerns, the imperative for optimizing transportation fleets has become increasingly pronounced across global industries. This thesis delves into the intricate transportation dynamics of Egypt’s burgeoning soft drink sector, endeavoring to enhance operational efficiency and sustainability through sophisticated fleet management strategies. At the forefront of this endeavor is formulating and implementing a strategy to address the multi-dimensional solid transportation problem (STP), meticulously designed to meet the specific demands of this industry, with the dual aims of reducing costs and minimizing environmental impacts.The study introduces the development of an innovative algorithm, the ”ABC Method,” specifically engineered to navigate the complexities of the multi-dimensional STP. This method distinguishes itself by its unique ability to derive near-optimal solutions, validated through a rigorous process including a comparative analysis with outcomes generated by Lingo software. Such validation highlights the method’s unparalleled precision and efficiency in addressing transportation logistics challenges. Additionally, the research pioneers the application of Excel Solver in solving the STP, marking a significant methodological innovation.An extensive case study of a leading soft drink company within Egypt is presented to validate the developed method’s effectiveness empirically. Examination of the logistics involved in distributing a diverse product range nationwide, utilizing trucks of varying capacities, illuminates the considerable advantages of fleet diversification. The findings are striking, demonstrating a 36.93% reduction in fuel consumption costs and a 39% decrease in carbon dioxide emissions. Furthermore, strategic management of fleet capacities has resulted in a 15% improvement in fleet movement time, enhancing operational efficiency and elevating customer service standards.The thesis advocates for adopting multi-objective optimization strategies within the transportation sector, emphasizing the dual focus on cost reduction and environmental impact mitigation. The study addresses these challenges and sets a precedent for the practical implementation of multi-objective methodologies.This research makes a substantial contribution to the field of transportation fleet optimization, introducing an approach that effectively tackles the logistical challenges of the modern industry. The significance of the findings transcends the soft drink sector, offering essential insights and strategies applicable across a range of industries. The study highlights the critical role of multi-dimensional and multi-objective optimization techniques and promotes sustainable and efficient fleet management practices. By advancing this methodological innovation, the thesis enriches academic discourse and provides actionable guidance for enhancing operational efficiency and fostering environmental stewardship within logistics and supply chain management.