运筹与管理 ›› 2022, Vol. 31 ›› Issue (4): 91-97.DOI: 10.12005/orms.2022.0118

• 理论分析与方法探讨 • 上一篇    下一篇

网格紧致化存储系统的分区设计和ABC分类分析

马云峰1,2, 吴北平1,3, 金钰清1   

  1. 1.武汉科技大学 恒大管理学院,湖北 武汉 430065;
    2.武汉科技大学 服务科学与工程研究中心,湖北 武汉 430065;
    3.通城县第一中学,湖北 咸宁 437400
  • 收稿日期:2020-05-04 出版日期:2022-04-25 发布日期:2022-05-13
  • 通讯作者: 吴北平(1996-),女,湖北咸宁人,武汉科技大学硕士生,研究方向:智能仓储、物流系统规划。
  • 作者简介:马云峰(1972-),男,吉林蛟河人,博士,武汉科技大学教授,硕士研究生导师,研究方向:物流系统规划、管理定量分析;
  • 基金资助:
    教育部人文社会科学基金资助项目(19YJA630054)

Zoning Design and ABC Classification Analysis of Grid-Based Compact Storage System

MA Yun-feng1,2, WU Bei-ping1,3, JIN Yu-qing1   

  1. 1. School of Evergrande Management, Wuhan University of Science and Technology, Wuhan 430065, China;
    2. Center for Service Science and Engineering, Wuhan University of Science and Technology, Wuhan 430065, China;
    3. Tongcheng County NO.1 Middle School, Xianning 437400, China
  • Received:2020-05-04 Online:2022-04-25 Published:2022-05-13

摘要: 基于网格的紧致化存储系统可以密集地存储货物,在充分利用存储空间的同时还能较好地保证货物的可达性。现有研究集中在取货时间最小化算法设计等基本问题上,但如何更好地利用这些研究结果改善系统设计的研究还未展开。本文应用现有算法研究成果分析网格紧致化存储系统的不同分区布局的绩效,构建了一个开放的排队网络,由基于取货时间的分区仓储子系统、仓储分区内基于货物需求频率的ABC分类子系统两个部分组成。以网格面积10×10为实例的计算实验表明,与随机存储分配规则相比,对基于网格的存储系统进行分区所实现的期望取货时间可以减少53.8%;在此基础上再进行ABC分类可以进一步改善系统性能最多可以达到46.5%,同时还可以大幅度减少因排队所产生的等待时间。

关键词: 网格存储, PBS, 分区设计, 排队网络, ABC分类

Abstract: The grid-based compact storage system can store goods intensively; it can maintain a fine accessibility of goods while achieving high space utilization. The existing researches on this problem focus on basic issues such as the algorithm design for minimizing the retrieval time, but how to make better use of these research’s outcomes to improve the design of the system has not been unfolded yet. This paper employs the existing algorithm research results to analyze the performance of the different layouts of the grid compact storage system. We design an open queuing network consisting of two parts: a storage zoning subsystem based on the retrieval time, and an ABC classification subsystem based on the frequency of demand for goods in each zone, respectively. Take 10×10 grid as an example, computational experiments show that compared with random storage allocation rules, the expected retrieval time achieved by zoning a grid-based storage system can be reduced by 53.8%; on this basis ABC classification can further improve the system performance by up to 46.5%, and can also greatly reduce the waiting time due to queuing.

Key words: grid storage, PBS, zoning design, queuing network, ABC classification

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