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.

• Periodical: Advanced Materials Research (Volume 859)
• Pages: 486-491
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.859.486
• Online since: December 2013
• Authors: Wei Xu, Chong Yang Shi, Han Tao Song, Ya Xin Chen
• Keywords: Ant Colony Optimization (ACO), Data Picking System, E-Commerce, Order Picking

References

[1] Xiao-Chun Li, Design and Optimize the Order Picking Operations in Distribution Center[D], Jinan University, June (2009).

[2] Chun-Hui Duan, Jing-Bo Zhao and Meng-Ting Li, Research and design in warehousing electronic label picking system[J], Computer Example of Application, (2011).

[3] Yi Zhang, and Yanchun Liang, Research of optimal selection on parameters of ant colony algorithm[J], Application Research of Computer, Vol. 24, No. 8, 2007, pp.70-71.

[4] Yuan-Kun Wang, Jin-Biao Wang, and Yun Zheng, Research on Convergence of Ant Algorithm and Its Improvement[J], Computer Engineering, Vol. 31, No. z1, 2009, pp.106-109.

[5] Hongmei Xu, Yibao Chen, and Jiaguang Liu ect, The research on the parameters of the ant colony algorithm[J], Journal of Shandong University of Technology(Nature and Science Edition), Vol. 22, No. 1, 2008, pp.7-11.

[6] Juntao Li, Bingwu Liu, and Lingyu Huo ect, Development of Digital Order Picking System[J], Logistics Technology, Vol. 27, No. 10, (2008).

[7] Jun Liu, and Shenglong Zuo, Optimized Design in Picking System Based on WLAN[J] , China Business and Market，Vol. 7, 2011, pp.11-14.

[8] Jiasheng Zhang, Zongtao Zhang, and Chengxu Zhang, Systematic design and application of wireless communication electronic label based on C51 control[J], Computer Engineering and Design, Vol. 29, No. 7, 2008, pp.1235-1237.

[9] Shizhen Li, Li Zhang, and Wenhong Du, Piece-picking Mode and Its Efficiency Analysis[J], Packing engineering, Vol. 2006, No. 26, 2006, pp.221-224.

[10] Xiaochun Li, Analysis on Efficiency of Zone Order Picking in Warehousing[J], Packing engineering, Vol. 29, No. 8, (2008).

[11] M Dorigo, and T Stutzle, Ant colony optimization: Overview and recent advances[M], Handbook of metaheuristics, (2010).

[12] Asmaa Y. Hamo and Marwa A. Aljawaherry, Constructing a Collaborative Multi-Agents System Tool for Real Time System Requirements[J], International Journal of Computer Science Issues, Vol. 9, Issue. 4, 2012, pp.134-140.