Application on Automated Warehouse Simulation System in Location Optimization

DOI

10.2991/ismss-19.2019.20How to use a DOI?

Keywords

Automated warehouse; Warehousing Location Optimization; Genetic algorithm; Simulation System

Abstract

Enterprise warehousing management level is the core link of logistics companies. The level of warehousing management plays a crucial role in improving the efficiency of the entire logistics. The efficiency of the warehouse is mainly determined by the allocation strategy of the warehouse location. The use of a good location optimization strategy can greatly improve the efficiency of the warehousing and reduce the cost of the warehousing system. In order to improve the overall operating efficiency of the automated warehouse, company requires optimization of the location, coupling the chain of goods and the chain of storage, reducing storage and handling time. It can reduce overall logistics costs and increase economic returns. Based on the previous researches on the problem of automated warehouse, the paper further studies the optimization of warehouse storage and proposes corresponding solutions.

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  - Yong Wang
AU  - Jiali Pan
AU  - Peilin Zhang
AU  - Daniel Tesfamariam Semere
PY  - 2019/04
DA  - 2019/04
TI  - Application on Automated Warehouse Simulation System in Location Optimization
BT  - Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)
PB  - Atlantis Press
SP  - 97
EP  - 101
SN  - 2352-5398
UR  - https://doi.org/10.2991/ismss-19.2019.20
DO  - 10.2991/ismss-19.2019.20
ID  - Wang2019/04
ER  -