Research Article
Warehouse Allocation Problem
@INPROCEEDINGS{10.4108/eai.19-5-2023.2334330, author={Selina Chen Tang and Changkun Zuo}, title={Warehouse Allocation Problem}, proceedings={Proceedings of the 2nd International Conference on Bigdata Blockchain and Economy Management, ICBBEM 2023, May 19--21, 2023, Hangzhou, China}, publisher={EAI}, proceedings_a={ICBBEM}, year={2023}, month={7}, keywords={bidependent independent number delivery cost}, doi={10.4108/eai.19-5-2023.2334330} }- Selina Chen Tang
Changkun Zuo
Year: 2023
Warehouse Allocation Problem
ICBBEM
EAI
DOI: 10.4108/eai.19-5-2023.2334330
Abstract
This paper mainly focuses on constructing a model to reallocate warehouses in parts of China for maximum efficiency through minimizing the number of warehouses in China and minimizing the economic cost of the delivery. This research identifies that having a warehouse in every province could be a waste of resources. Therefore, we try to find a balance between smaller number of warehouses and cheaper transportation cost. We considered a few main factors and constructed models with formulas to get the optimal solutions. As for the goal of minimizing the number of warehouses in China, Zhejiang, Liaoning, Henan, Heilongjiang, Jiangxi, and Gansu are found to be the province set warehouses in addition to the independent and bidependent provinces. For minimizing the economic cost of the delivery, the transportation cost reaches its lowest point when there are only sixteen warehouses. These findings would enable transportation companies to take efficiency and the cost into consideration. The findings do consider that these companies need to achieve maximum satisfaction of the client. On the other hand, the efficiency of the delivery may save many unnecessary resources to enhance the world’s sustainable development.
