Routing optimization of high-level orderpickers in a rectangular warehouse

Author

Fu, Chao ; Wang, Yiqiang ; Gu, Yan ; Ma, Mingyang ; Xue, Tianyi

Author_Institution

Dept. of Mech. Manuf. & Autom., Jilin Univ., Changchun, China

fYear

2011

fDate

16-18 April 2011

Firstpage

4388

Lastpage

4391

Abstract

With the rapid development of logistics transportation, the number of high-level orderpickers in the warehouse is increasing day by day. In order to improve order picking efficiency, a mathematical model of this optimization problem is constructed according to characteristics of order picking of the high level orderpicker in a rectangular warehouse. To solve the model, G-A (Genetic-Ant colony) algorithm is proposed. Experimental results show that the algorithm has good overall search ability and astringency. What´s more, it reduces order picking time and improves operation efficiency to a great extent using G-A algorithm compared to using the traditional S-shape algorithm.

Keywords

genetic algorithms; logistics; transportation; warehousing; S-shape algorithm; genetic-ant colony algorithm; high-level orderpickers; logistics transportation; mathematical model; optimization problem; rapid development; rectangular warehouse; routing optimization; Algorithm design and analysis; Equations; Gallium; Genetic algorithms; Mathematical model; Optimization; Routing; ant colony optimization; genetic algorithm; order picking optimization; picking route; warehouses;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on

Conference_Location

XianNing

Print_ISBN

978-1-61284-458-9

Type

conf

DOI

10.1109/CECNET.2011.5768920

Filename

5768920