首页|AGV调度优化的应用场景、关键因素和研究方法综述

AGV调度优化的应用场景、关键因素和研究方法综述

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
针对自动引导小车(automated guided vehicle,AGV)调度问题,梳理了制造、仓储、港口以及快递分拨中心中的AGV使用和调度研究现状,发现以快递分拨中心为代表的服务业是新兴且研究较为薄弱的领域;分析了AGV调度优化需考虑的因素,发现数量配置与充电管理两个关键因素联合考虑的不足,建议未来在大规模动态调度研究中将二者统筹考虑;从精确方法、近似方法和基于人工智能的新方法 3 个方面总结AGV调度研究方法,建议未来可在启发式算法的基础上融入基于人工智能的新技术和新方法以获得创新.
Review of application scenarios,key factors,and research methods of AGV scheduling optimization
For the scheduling problem of automated guided vehicles(AGVs),this paper reviews the current research status of AGV usage and scheduling in manufacturing,warehousing,ports,and express distribution centers.It is found that the service industry,represented by express distribution centers,is an emerging and relatively under-researched area.Further-more,it is found that the joint consideration of the two key factors of quantity configuration and charging management is in-sufficient in the optimization of AGV scheduling.It is recommended that in future research on large-scale dynamic schedu-ling,these two factors should be comprehensively considered.In addition,the paper summarizes the research methods of AGV scheduling from three aspects:exact methods,approximate methods,and new methods based on artificial intelligence.It is recommended that future research can integrate new technologies and methods based on artificial intelligence into heu-ristic algorithms for innovation.

automatic guided vehicle(AGV)AGV schedulingAGV application scenariosquantity configurationchar-ging managementresearch methods

田帅辉、皇甫城阳、邓学平

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重庆邮电大学 现代邮政学院,重庆 400065

自动引导小车(AGV) AGV调度 AGV应用场景 数量配置 充电管理 研究方法

重庆市教委科学技术研究项目重庆市中小学创新人才培养工程项目计划重庆市教育委员会人文社会科学研究项目中国物流学会、中国物流与采购联合会研究课题

KJQN202002603CY22060422SKGH1272023CSLKT3-385

2024

10.3979/j.issn.1673-825X.202302150038

重庆邮电大学学报(自然科学版)
重庆邮电大学

重庆邮电大学学报(自然科学版)

CSTPCD北大核心
影响因子：0.66
ISSN：1673-825X
年,卷(期)：2024.36(2)
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