Optimization of warehouse logistics in household woods

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Optimization techniques reduce travel time by 18% and inventory costs by 15%, supporting efficiency in warehouses.
A systematic review of 15 papers established key performance indicators and utilized random-effects meta-analysis for findings.
AI-driven scheduling outperformed heuristic methods by eight percentage points in smaller warehouses, highlighting its potential.
Despite high heterogeneity in results, the use of optimization tools is reaffirmed as beneficial, indicating a need for future research.

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Systematic review shows optimizations improve inventory cost and travel time in warehouses, suggesting AI scheduling is effective.

Anatolii Nosar (2025) studied this question.

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