Dynamic Storage Location Assignment in Warehouses Using Deep Reinforcement Learning

The warehousing industry is faced with increasing customer demands and growing global competition. A major factor in the efficient operation of warehouses is the strategic storage location assignment of arriving goods, termed the dynamic storage location assignment problem (DSLAP). This paper presen...

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書誌詳細

主要な著者:	Constantin Waubert de Puiseau, Dimitri Tegomo Nanfack, Hasan Tercan, Johannes Löbbert-Plattfaut, Tobias Meisen
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2022-12-01
シリーズ:	Technologies
主題:	warehouse management logistics dynamic storage location assignment reinforcement learning deep learning artificial intelligence
オンライン･アクセス:	https://www.mdpi.com/2227-7080/10/6/129
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