关键词: 需求相关性, 货位分配, 模型, 遗传算法, 料单拣选

Abstract: By considering both material relevancy and requirement frequency, an optimization model for the storage location assignment in the multi-aisle warehouse was established. With the model, materials with closer relationships were compelled to be stored together closely, while at the same time, materials with high requirement frequency were stored close to the I/O point. A Hybrid Genetic Algorithm (HGA) was proposed to solve the NP problem. Numerical experiments showed that this model could obtain better results than other strategies without considering requirement correlations. As the level of demand correlations increased, the improvement was even more significant.

Key words: demand correlations, storage location assignment, model, genetic algorithm, order picking