An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse

Fangyu Chen, Hongwei Wang (), Yong Xie and Chao Qi
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Fangyu Chen: Huazhong University of Science and Technology
Hongwei Wang: Huazhong University of Science and Technology
Yong Xie: Huazhong University of Science and Technology
Chao Qi: Huazhong University of Science and Technology

Journal of Intelligent Manufacturing, 2016, vol. 27, issue 2, No 9, 389-408

Abstract: Abstract One of the challenging problems in order picking is how to deal with the congestion happens in warehouse with multiple pickers. In this paper, we consider an ant colony optimization (ACO)-based online routing method to find picking routes for multiple order pickers under nondeterministic picking time. Here, a default route is formed by ACO for each single picker. Then, we coordinate these routes to alleviate congestion by dedicated rules based on indoor positioning and information sharing technologies, during order pickers serve the picking task. Our results indicate that the proposed method can achieve a reduction in the order service time primarily by coping with the congestion. We conclude that the new method is particularly effective in multiple-block picker-to-parts warehouses.

Keywords: Warehouse management; Routing method; Multiple order pickers; Congestion; Ant colony optimization (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (18)

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DOI: 10.1007/s10845-014-0871-1

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