|Table of Contents|

Citation:
 Guoliang Fan,Zuhua Jiang.Approach for Scheduling Automatic Guided Vehicles Considering Equipment Failure and Power Management[J].Journal of Marine Science and Application,2023,(3):624-635.[doi:10.1007/s11804-023-00357-3]
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Approach for Scheduling Automatic Guided Vehicles Considering Equipment Failure and Power Management

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Title:
Approach for Scheduling Automatic Guided Vehicles Considering Equipment Failure and Power Management
Author(s):
Guoliang Fan Zuhua Jiang
Affilations:
Author(s):
Guoliang Fan Zuhua Jiang
School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
Keywords:
Automatic guided vehicleSchedulingOutfitting warehousePower consumptionEquipment failure
分类号:
-
DOI:
10.1007/s11804-023-00357-3
Abstract:
Intermediate charging and sudden failure of automatic guided vehicles (AGVs) interrupt and severely affect the stability and efficiency of scheduling. Therefore, an AGV scheduling approach considering equipment failure and power management is proposed for outfitting warehouses. First, a power consumption model is established for AGVs performing transportation tasks. The powers for departure and task consumption are used to calculate the AGV charging and return times. Second, an optimization model for AGV scheduling is established to minimize the total transportation time. Different conditions are defined for the overhaul and minor repair of AGVs, and a scheduling strategy for responding to sudden failure is proposed. Finally, an algorithm is developed to solve the optimization model for a case study. The method can be used to plan the charging time and perform rescheduling under sudden failure to improve the robustness and dynamic response capability of AGVs.

References:

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Memo

Memo:
Received date:2022-11-5;Accepted date:2023-4-11。
Foundation item:Supported by the China High-Tech Ship Project of the Ministry of Industry and Information Technology under Grant No. [2019] 360.
Corresponding author:Guoliang Fan,E-mail:fan.guoliang@sjtu.edu.cn
Last Update: 2023-10-10