Study integrates graph-theoretic methods in logistics, suggesting a cost-minimization framework.
The transportation problem remains a central concern in logistics and operations research, aimed at determining the most efficient way to move goods from sources to destinations while minimizing cost. This study explores the integration of graph-theoretic methods into transportation logistics, providing a robust mathematical framework for analyzing and solving complex transport networks. By modeling transportation systems as weighted graphs and applying tools such as shortest path algorithms, mi
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Aisha Aisha (2026) studied this question.
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