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Development and Application of Algorithms in Logistics

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Evidence shows algorithmic approaches improve routing and inventory controls in logistics, suggesting enhanced compliance measures are necessary.

Hybrid metaheuristics outperform classic algorithms in logistics routing, enhancing operational efficiency.
Machine-learning improves prediction accuracy in logistics but may add complexity in interpretability.
Analysis reveals three actionable strategies that integrate compliance into logistics routing decisions.
Emphasizing compliance-aware routing and interpretable ML may boost operational transparency and trust.

Valentyn Marcenko (2025) studied this question.

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Evidence shows algorithmic approaches improve routing and inventory controls in logistics, suggesting enhanced compliance measures are necessary.