Research Article
Design of Supply Chain Resource Distribution Allocation Model Based on Deep Learning
@INPROCEEDINGS{10.1007/978-3-030-82562-1_30, author={Yuanyuan Guan and Li Yu}, title={Design of Supply Chain Resource Distribution Allocation Model Based on Deep Learning}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2021}, month={7}, keywords={Deep learning Resource allocation Supply chain Cost control}, doi={10.1007/978-3-030-82562-1_30} }- Yuanyuan Guan
Li Yu
Year: 2021
Design of Supply Chain Resource Distribution Allocation Model Based on Deep Learning
ICMTEL
Springer
DOI: 10.1007/978-3-030-82562-1_30
Abstract
With the continuous deepening of economic upgrading and transformation, the scope of the supply chain of SMEs has gradually expanded. At present, in the process of supply chain resource allocation, the supply chain resource distribution allocation model is often used to study it. But the cost control ability of this model is poor. For this reason, this research designs a supply chain resource distribution allocation model based on deep learning. Select the indicators of the supply chain resource distribution allocation model to determine the principle of resource input, risk compensation, maximum utility and comprehensive optimization. Then construct the objective function of supply chain distribution configuration according to the cost and benefit requirements, and then use deep learning technology to obtain the optimal solution of the objective function scheme. By comparing the model in this paper with the traditional model, we can see that the model in this paper has better cost control ability.
