Journal of System Simulation
Abstract
Abstract: To improve the order picking and sorting collaboration with time windows in the "goods-to-person" system, a mathematical model aiming to minimize the number of sorting batches was established. With the characteristics of this issue considered, a hybrid variable neighborhood search (HVNS) algorithm based on the "classified loading" strategy was proposed for solutions. The numerical experimental results show that the HVNS algorithm can obtain high-quality solutions while shortening the solution time; different order structures have varying effects on the utilization of the loading capacity of sorting automated guided vehicles (AGVs); under the tested experimental conditions, the collaborative operation mode can reduce the makespan by approximately 31% and increase the order fulfillment rate by approximately 38% compared with the traditional operation mode of picking followed by sorting.
Recommended Citation
Ren, Liang; Zhou, Zerong; and Ma, Yunfeng
(2025)
"Optimization of Order Picking and Sorting Coordintion in “Goods-to-person” System,"
Journal of System Simulation: Vol. 37:
Iss.
12, Article 13.
DOI: 10.16182/j.issn1004731x.joss.24-0705
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol37/iss12/13
First Page
3128
Last Page
3139
CLC
TP391.1
Recommended Citation
Ren Liang, Zhou Zerong, Ma Yunfeng. Optimization of Order Picking and Sorting Coordintion in “Goods-to-person” System[J]. Journal of System Simulation, 2025, 37(12): 3128-3139.
DOI
10.16182/j.issn1004731x.joss.24-0705
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