July 28, 2025

Optimizing Transportation Costs in Supply Chains Using Mixed Integer Linear Programming: A Comprehensive Approach for Logistics Efficiency

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Efficient transportation is vital for reducing overall costs in supply chains.
A mixed integer linear programming model minimizes expenses while considering supply and demand constraints.
Data preprocessing and exploratory data analysis support accurate and effective optimization processes.
The framework aids supply chain managers in enhancing logistics efficiency and competitiveness in the marketplace.

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This approach demonstrates improved logistics efficiency in supply chains, suggesting significant cost reductions through optimization methods.

Md Raisul Islam Khan (2025) studied this question.

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This approach demonstrates improved logistics efficiency in supply chains, suggesting significant cost reductions through optimization methods.