Proceedings of The First International Symposium on Management and Social Sciences (ISMSS 2019)

Application on Automated Warehouse Simulation System in Location Optimization

Authors
Yong Wang, Jiali Pan, Peilin Zhang, Daniel Tesfamariam Semere
Corresponding Author
Yong Wang
Available Online April 2019.
DOI
https://doi.org/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.
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Proceedings
The First International Symposium on Management and Social Sciences (ISMSS 2019)
Part of series
Advances in Social Science, Education and Humanities Research
Publication Date
April 2019
ISBN
978-94-6252-697-6
ISSN
2352-5398
DOI
https://doi.org/10.2991/ismss-19.2019.20How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 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  - https://doi.org/10.2991/ismss-19.2019.20
ID  - Wang2019/04
ER  -