Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm
Joint Authors
Zhang, Shuiwang
Fu, Linping
Chen, Rong
Mei, Yu
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-05
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Zhang, Shuiwang& Fu, Linping& Chen, Rong& Mei, Yu. 2020. Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1196070
Modern Language Association (MLA)
Zhang, Shuiwang…[et al.]. Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm. Mathematical Problems in Engineering No. 2020 (2020), pp.1-14.
https://search.emarefa.net/detail/BIM-1196070
American Medical Association (AMA)
Zhang, Shuiwang& Fu, Linping& Chen, Rong& Mei, Yu. Optimizing the Cargo Location Assignment of Retail E-Commerce Based on an Artificial Fish Swarm Algorithm. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-14.
https://search.emarefa.net/detail/BIM-1196070
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1196070