Dynamic Order Scheduling for Pick-and-pass System Considering Workload Balance and Learning Effects

Authors

Weihong Liu, Sino-US Global Logistics Institute, Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China
Sixiang Zhao, Sino-US Global Logistics Institute, Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China; Data-Driven Management Decision Making Lab, Shanghai Jiao Tong University, Shanghai 200030, China
Dali Zhang, Sino-US Global Logistics Institute, Antai College of Economics & Management, Shanghai Jiao Tong University, Shanghai 200030, China; Data-Driven Management Decision Making Lab, Shanghai Jiao Tong University, Shanghai 200030, China
Zhenhui Jiang, Shanghai FineEx Logistics Co. , Ltd. , Shanghai 200443, China

Abstract

Abstract: In e-commerce logistics, the hybrid pick-and-pass systems offer both complexity and flexibility, enabling adaptation to a wider range of order picking scenarios. Therefore, they have been widely used. However, this also complicates the order scheduling problem, particularly when both workload balance and pickers' learning effects need to be considered. Efficiently scheduling orders to reduce picking time under these conditions poses a significant challenge. This study began by constructing a mathematical model for the static scheduling problem with known orders. Based on this model, a simulation model of hybrid pick-and-pass zones was developed, and a scheduling rule incorporating multiple system feature variables was proposed. The heuristic algorithm was employed to optimize the core parameters in the rules and achieve dynamic order scheduling. Simulation results based on real warehouse data demonstrate that the proposed method outperforms conventional scheduling rules and classical heuristic methods in both scheduling performance and computational efficiency, providing effective support for real-time decision-making in automated warehouse systems.

Recommended Citation

Liu, Weihong; Zhao, Sixiang; Zhang, Dali; and Jiang, Zhenhui (2025) "Dynamic Order Scheduling for Pick-and-pass System Considering Workload Balance and Learning Effects," Journal of System Simulation: Vol. 37: Iss. 10, Article 15.
DOI: 10.16182/j.issn1004731x.joss.24-0511
Available at: https://dc-china-simulation.researchcommons.org/journal/vol37/iss10/15

First Page

2613

Last Page

2629

CLC

C935; TP391

Recommended Citation

Liu Weihong, Zhao Sixiang, Zhang Dali, et al. Dynamic Order Scheduling for Pick-and-pass System Considering Workload Balance and Learning Effects[J]. Journal of System Simulation, 2025, 37(10): 2613-2629.

Corresponding Author

Zhao Sixiang

DOI

10.16182/j.issn1004731x.joss.24-0511