Title
An ant colony optimization routing algorithm for two order pickers with congestion consideration
Abstract
This paper develops a routing method to control the picker congestion that challenges the traditional assumption regarding the narrow-aisle order picking system. We proposes a new routing algorithm based on Ant Colony Optimization (ACO) for two order pickers (A-TOP) with congestion consideration. Using two extended dedicated heuristics with congestion consideration as reference group, a comprehensive simulation study is conducted to evaluate the effectiveness of A-TOP. The simulation proves that A-TOP achieves the shortest total picking time in most instances and performs well in dealing with the congestion. The impacts of warehouse layout, order size, and pick:walk-time ratio on A-TOP and system performance are analyzed as well. A-TOP can adapt to different warehouse configurations, meanwhile, it can be easily extended to the situation with more than two order pickers.
Year
DOI
Venue
2013
10.1016/j.cie.2013.06.013
Computers & Industrial Engineering
Keywords
Field
DocType
ant colony optimization,narrow-aisle order,order picker,extended dedicated heuristics,routing method,order size,congestion consideration,picker congestion,new routing algorithm,comprehensive simulation study,different warehouse configuration
Ant colony optimization algorithms,Mathematical optimization,Order picking,Operations research,Heuristics,Engineering,Warehouse management,Operations management,Routing algorithm
Journal
Volume
Issue
ISSN
66
1
0360-8352
Citations 
PageRank 
References 
18
0.62
15
Authors
4
Name
Order
Citations
PageRank
Fangyu Chen1331.22
Hongwei Wang252830.86
Chao Qi3272.58
Yong Xie4321.84