Research Article
Bigdata Analysis for Supply Chain Management Based on Regression
@INPROCEEDINGS{10.4108/eai.28-10-2022.2328440, author={Xuanru Li}, title={Bigdata Analysis for Supply Chain Management Based on Regression}, proceedings={Proceedings of the International Conference on Financial Innovation, FinTech and Information Technology, FFIT 2022, October 28-30, 2022, Shenzhen, China}, publisher={EAI}, proceedings_a={FFIT}, year={2023}, month={4}, keywords={component; big data analysis; supply chain management; application}, doi={10.4108/eai.28-10-2022.2328440} }- Xuanru Li
Year: 2023
Bigdata Analysis for Supply Chain Management Based on Regression
FFIT
EAI
DOI: 10.4108/eai.28-10-2022.2328440
Abstract
As the information age is coming, the applications of big data connecting closely with the supply chain has a crucial function in the supply chain management (SCM). It can not only furtherance the development of the supply chain but also strengthen the competitiveness of the company by utilizing a number of statistical analyses in the management. It has a significant role in strategic, operational, management and tactical level. In this paper, a detail discussion of the big data is presented about its definition, features, and the big data analysis based on regression models and operation optimization for its applications and functions in the supply chain management form several aspects and its current problems. According to the analysis, the big data is a global trend and can boom the development of every industry. Based on the processing, one has an overall acknowledge of the big date and knows how important the big date analyses are. These results shed light on guiding further exploration of how to develop the big data.
