期刊
COMPUTERS & INDUSTRIAL ENGINEERING
卷 66, 期 1, 页码 77-85出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.cie.2013.06.013
关键词
Routing method; Order picking; Ant colony optimization; Congestion; Warehouse management
资金
- National Natural Science Foundation of China [71125001, 60674085, 70971046]
- Program for Changjiang Scholars and innovative Research Team in University
This paper develops a routing method to control the picker congestion that challenges the traditional assumption regarding the narrow-aisle order picking system. We proposes a new routing algorithm based on Ant Colony Optimization (ACO) for two order pickers (A-TOP) with congestion consideration. Using two extended dedicated heuristics with congestion consideration as reference group, a comprehensive simulation study is conducted to evaluate the effectiveness of A-TOP. The simulation proves that A-TOP achieves the shortest total picking time in most instances and performs well in dealing with the congestion. The impacts of warehouse layout, order size, and pick:walk-time ratio on A-TOP and system performance are analyzed as well. A-TOP can adapt to different warehouse configurations, meanwhile, it can be easily extended to the situation with more than two order pickers. (C) 2013 Elsevier Ltd. All rights reserved.
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。
推荐
暂无数据