现代制造工程 ›› 2025, Vol. 539 ›› Issue (8): 19-30.doi: 10.16731/j.cnki.1671-3133.2025.08.003

• 智能制造 • 上一篇    下一篇

双深位四向穿梭车仓储系统出库任务调度方法

王圣潇1, 袁堂晓2, 柳林燕2, 汪惠芬2   

  1. 1 南京理工大学中法工程师学院,南京 210000;
    2 南京理工大学机械工程学院,南京 210000
  • 收稿日期:2024-08-05 出版日期:2025-08-18 发布日期:2025-09-09
  • 作者简介:王圣潇,硕士研究生,主要研究方向为智能仓储、智能制造等。袁堂晓,博士研究生,主要研究方向为智能制造理论、数据采集及算法应用风险评估等。柳林燕,博士,副教授,主要研究方向为数字化设计制造、智能制造、数字孪生、知识库与知识管理等。汪惠芬,博士,教授,主要研究方向为智能制造、数字化设计制造、数字孪生、知识库与知识管理等。E-mail:estellewang@njust.edu.cn;yuantx@njust.edu.cn;liulinyan@njust.edu.cn;wanghf@njust.edu.cn
  • 基金资助:
    国家自然科学基金青年项目(51705256)

Outbound scheduling optimization for double-deep four-way shuttle-based storage and retrieval system

WANG Shengxiao1, YUAN Tangxiao2, LIU Linyan2, WANG Huifen2   

  1. 1 Sino-French Engineer School, Nanjing University of Science and Technology, Nanjing 210000, China;
    2 School of Mechanical Engineering, Nanjing University of Science and Technology, Nanjing 210000, China
  • Received:2024-08-05 Online:2025-08-18 Published:2025-09-09

摘要: 由于双深位四向穿梭车立体仓库存在倒库操作,导致出库作业效率降低。针对该问题,首先对出库与回库过程建立了数学模型;其次,针对当前倒库与回库作业对后续出库作业的影响,提出了一种倒库库位选择策略和回库库位选择策略,减少倒库次数与倒库距离;在此基础上提出了一种任务执行顺序优化算法,以最小化任务完成时间为目标,基于改进遗传算法(Improved Genetic Algorithm,IGA),使用肯德尔相关系数进行种群初始化,增强了算法的空间搜索能力,并结合双深位仓库的特点,在遗传过程中引入基因调序过程,从而提高算法的收敛速度。仿真实验结果表明,所提出的策略可以显著提升出库作业效率,同时,IGA收敛速度更快,优化效果更好,稳定性更高,能够有效缩短出库作业时间,提高出库作业效率。

关键词: 双深位系统, 调度, 四向穿梭车仓储系统

Abstract: Because of the reverse operation of the double-deep four-way shuttle warehouse, the efficiency of the outbound operation is reduced. The mathematical model of the process of outbound and inbound was established. A strategy for selecting the location of reverse and a strategy for selecting the location of back were proposed in which the influence of the current operation on the subsequent outbound was considered. A task sequence optimization algorithm was proposed to minimize the task time. An improved genetic algorithm was used. By using the Kendall coefficient to initialize the population, the spatial search ability of the algorithm was enhanced. The characteristics of the double-deep warehouse was taken into account, and then a gene order change process was introduced into the genetic algorithm to improve its convergence speed. The results of simulation experiment show that the proposed strategy can significantly improve the efficiency of outbound operation. At the same time, the improved genetic algorithm has faster convergence speed, better optimization effect and higher stability, which can effectively shorten the outbound operation time and improve the outbound operation efficiency.

Key words: double-deep system, task scheduling, four-way shuttle-based storage and retrieval system

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