Application on Automated Warehouse Simulation System in Location Optimization
Yong Wang, Jiali Pan, Peilin Zhang, Daniel Tesfamariam Semere
Available Online April 2019.
- https://doi.org/10.2991/ismss-19.2019.20How to use a DOI?
- Automated warehouse; Warehousing Location Optimization; Genetic algorithm; Simulation System
- 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.
- 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 -