Journal of System Simulation
Abstract
Abstract: For an automatic vehicle sorting problem involving mixed sorting of two types of orders, an order splitting strategy and a method for batch adjustment of sub-orders after splitting are proposed by considering the phenomena of blockage of automatic guided vehicles (AGVs) and idleness of manual collection stations in the order sorting process. In addition, with the optimization objective of minimizing the total order completion time, an order sorting integer planning model with order splitting is established. An improved discrete grey wolf optimization algorithm is proposed to jointly optimize the three sub-problems of order batching, batch sorting, and product unloading location selection. Numerical experimental results show that the order splitting strategy leads to a significant reduction in the total order completion time, and the superiority of the proposed algorithm is verified by comparing it with the classical algorithm and other algorithms of the same type.
Recommended Citation
Xu, Yuze; Zhang, Linxuan; Li, Hui; Ge, Ming; and He, Wanyi
(2024)
"Modeling and Optimization of Smart Warehouse Order Sorting Considering Splitting Strategy,"
Journal of System Simulation: Vol. 36:
Iss.
3, Article 4.
DOI: 10.16182/j.issn1004731x.joss.23-0422
Available at:
https://dc-china-simulation.researchcommons.org/journal/vol36/iss3/4
First Page
564
Last Page
577
CLC
TP278
Recommended Citation
Xu Yuze, Zhang Linxuan, Li Hui, et al. Modeling and Optimization of Smart Warehouse Order Sorting Considering Splitting Strategy[J]. Journal of System Simulation, 2024, 36(3): 564-577.
DOI
10.16182/j.issn1004731x.joss.23-0422
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