@inproceedings{d741677ec47a4010b779130d9e00aaa0,
title = "Applied technology on improving the order picking efficiency in the area of EC of china post logistics based on ACO",
abstract = "China Post Logistics have been introduced the Data Picking System (DPS) with applied technology for its warehouse in order to meet the increasing requirement, but until now some flaws have been turned up such as the unreasonable path scheming. This paper analyzes the Data Picking System with applied technology of China Post Logistics, and then optimizes the order picking route in view of the current deficiency and combined with the use of Ant Colony Optimization (ACO). Our work is one of the first to introduce the China Post Logistics' Data Picking System and optimize the order picking route with ACO, and the result shows that this study is effective.The example simulation result shows that this optimizing is effective and the order picking route decrease 8.34% than that as before.",
keywords = "Ant colony optimization, Data picking system, E-commerce, Order picking",
author = "Wei Xu and Shi, {Chong Yang} and Song, {Han Tao} and Chen, {Ya Xin}",
year = "2014",
doi = "10.4028/www.scientific.net/AMR.859.486",
language = "English",
isbn = "9783037859797",
series = "Advanced Materials Research",
pages = "486--491",
booktitle = "Advanced Research on Civil Engineering, Materials Engineering and Applied Technology",
note = "2013 2nd International Conference on Civil Engineering and Material Engineering, CEME 2013 ; Conference date: 21-12-2013 Through 22-12-2013",
}