Correlated SKU assignment in warehouses using the joint demand probability distribution: a metaheuristic algorithm approach

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The genetic algorithm approach improves SKU assignment efficiency in warehouse management by up to 22%.
Using a Mixed-Integer Linear Programming model, the study analyzes demand data to optimize product storage locations.
The integration of correlation coefficients into the optimization model effectively minimizes in-warehouse picking distances.
A comparison with the Random-Based Correlated Skus Assignment Model demonstrates the better performance of the proposed method.

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This metaheuristic approach enhances SKU assignment based on demand probability distribution, suggesting efficient storage solutions.

Bayram Dündar (2025) studied this question.

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