Research on dual-command operation path optimization based on Flying-V warehouse layout

被引：0

作者：

Liu J. ^{[1
]}

Yuan B. ^{[1
]}

Yang Z. ^{[1
]}

Zhong R.Y. ^{[2
]}

机构：

[1] School of Advanced Manufacturing, Nanchang University, Nanchang

[2] Department of Industrial and Manufacturing Systems Engineering, University of Hong Kong, Hong Kong

来源：

High Technology Letters | 2023年 / 29卷 / 04期

基金：

中国国家自然科学基金;

关键词：

access collaboration; dynamic decoding; Flying-V; genetic algorithm; path optimization;

D O I：

10.3772/j.issn.1006-6748.2023.04.006

中图分类号：

学科分类号：

摘要：

To enhance the efficiency of warehouse order management, this study investigates a dual-command operation mode in the Flying-V non-traditional warehouse layout. Three dual-command operation strategies are designed, and a dual-command operation path optimization model is established with the shortest path as the optimization goal. Furthermore, a genetic algorithm based on a dynamic decoding strategy is proposed. Simulation results demonstrate that the Flying-V layout warehouse management and access cooperation operation can reduce the operation time by an average of 25% - 35% compared with the single access operation path, and by an average of 13% - 23% compared with the ‘deposit first and then pick’ operation path. These findings provide evidence for the effectiveness of the optimization model and algorithm. © 2023 Inst. of Scientific and Technical Information of China. All rights reserved.

引用

页码：388 / 396

页数：8

共 19 条

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