Title | ||
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An ant colony optimization routing algorithm for two order pickers with congestion consideration |
Abstract | ||
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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 |
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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 |
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Fangyu Chen | 1 | 33 | 1.22 |
Hongwei Wang | 2 | 528 | 30.86 |
Chao Qi | 3 | 27 | 2.58 |
Yong Xie | 4 | 32 | 1.84 |