Research of Order Batching Variable Neighborhood Search Algorithm based on Saving Mileage

DOI

10.2991/icmeit-19.2019.34How to use a DOI?

Keywords

order batching; mileage saving; routing optimization; variable neighborhood search algorithm.

Abstract

Basing on a picker-to-parts batch picking system of full container load, an order batching model takes picking equipment and commodity packaging volume into consideration is constructed, the objective of the model is to maximize the saving mileage. To solve the model, an order batching variable neighborhood search algorithm is proposed. With the data from a specific logistic center, a simulation experiment has been carried out. The results show that, the performance of VNS-Deco is superior to FCFS, SBBM and S&U-Deco under 4 different order pool situations, the total picking mileage optimized by VNS-Deco is reduced by 13.2%, 3.3% and 1.6% compared with FCFS, SBBM and S&U-Deco.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Zeping Pei
AU  - Zhuan Wang
AU  - Yiwen Yang
PY  - 2019/04
DA  - 2019/04
TI  - Research of Order Batching Variable Neighborhood Search Algorithm based on Saving Mileage
BT  - Proceedings of the 3rd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2019)
PB  - Atlantis Press
SP  - 196
EP  - 203
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-19.2019.34
DO  - 10.2991/icmeit-19.2019.34
ID  - Pei2019/04
ER  -