4.7 Article

An ACO-based online routing method for multiple order pickers with congestion consideration in warehouse

期刊

JOURNAL OF INTELLIGENT MANUFACTURING
卷 27, 期 2, 页码 389-408

出版社

SPRINGER
DOI: 10.1007/s10845-014-0871-1

关键词

Warehouse management; Routing method; Multiple order pickers; Congestion; Ant colony optimization

资金

  1. National Natural Science Foundation of China [71125001, 61174147, 71390524]
  2. Program for Changjiang Scholars and innovative Research Team in University

向作者/读者索取更多资源

One of the challenging problems in order picking is how to deal with the congestion happens in warehouse with multiple pickers. In this paper, we consider an ant colony optimization (ACO)-based online routing method to find picking routes for multiple order pickers under nondeterministic picking time. Here, a default route is formed by ACO for each single picker. Then, we coordinate these routes to alleviate congestion by dedicated rules based on indoor positioning and information sharing technologies, during order pickers serve the picking task. Our results indicate that the proposed method can achieve a reduction in the order service time primarily by coping with the congestion. We conclude that the new method is particularly effective in multiple-block picker-to-parts warehouses.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据