Research on Autonomous Vehicle Storage and Retrieval System Cargo Location Optimization in E-commerce Automated Warehouse

Cargo allocation optimization is important to improve the efficiency of e-commerce automated warehouse's autonomous vehicle storage and retrieval system (AVS/RS) operations. Considering the electrical business logistics characteristic of small batch, batches, variety characteristics, this paper...

Full description

Saved in:
Bibliographic Details
Published in:IOP conference series. Materials Science and Engineering 2020-03, Vol.790 (1), p.12165
Main Authors: Wang, Haoxiang, Ji, Shouwen, Su, Gang
Format: Article
Language:English
Subjects:
Adaptive algorithms
Automation
Autonomous vehicle storage and retrieval system (AVS/RS)
Autonomous vehicles
Cargo
Efficiency
Electronic commerce
Genetic algorithm
Genetic algorithms
Logistics
Multiple objective analysis
Optimization
Retrieval
Storage efficiency
Storage location allocation
Storage stability
Warehouses
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Cargo allocation optimization is important to improve the efficiency of e-commerce automated warehouse's autonomous vehicle storage and retrieval system (AVS/RS) operations. Considering the electrical business logistics characteristic of small batch, batches, variety characteristics, this paper aiming at maximizing the highest efficiency and shelf stability for warehousing efficiency, we established an initial cargo location model, designed an adaptive multi-objective genetic algorithm. MATLAB software programming was used to implement the model solution, and an example verification was performed with an automation warehouse named Jing-dong in China. The comparison between the initial cargo location model and the random storage strategy shows that the model can significantly improve the overall warehousing efficiency and shelf stability of AVS/RS.
ISSN:1757-8981
1757-899X
DOI:10.1088/1757-899X/790/1/012165