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- Title
Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm.
- Authors
Zhang, Shuiwang; Fu, Linping; Chen, Rong; Mei, Yu
- Abstract
An efficient storage strategy for retail e-commerce warehousing is important for minimizing the order retrieval time to improve the warehouse-output efficiency. In this paper, we consider a model and algorithm to solve the cargo location problem in a retail e-commerce warehouse. The problem is abstracted into storing cargo on three-dimensional shelves, and the mathematical model is built considering three objectives: efficiency, stability, and classification. An artificial swarm algorithm is designed to solve the proposed models. Computational experiments performed on a warehouse show that the proposed approach is effective at solving the cargo location assignment problem and is significant for the operation and organization of a retail e-commerce warehouse.
- Subjects
ELECTRONIC commerce; ASSIGNMENT problems (Programming); WAREHOUSES; ALGORITHMS; RETAIL industry; CARGO handling
- Publication
Mathematical Problems in Engineering, 2020, p1
- ISSN
1024-123X
- Publication type
Article
- DOI
10.1155/2020/5609873