An efficient storage strategy for retail e-commerce warehousing is important for minimizing the order retrieval time to improve\nthe warehouse-output efficiency. In this paper, we consider a model and algorithm to solve the cargo location problem in a retail\ne-commerce warehouse. The problem is abstracted into storing cargo on three-dimensional shelves, and the mathematical model\nis built considering three objectives: efficiency, stability, and classification. An artificial swarm algorithm is designed to solve the\nproposed models. Computational experiments performed on a warehouse show that the proposed approach is effective at solving\nthe cargo location assignment problem and is significant for the operation and organization of a retail e-commerce warehouse.
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