@article{ART002698430},
author={Jinhui Chen and Jin Chan Yong},
title={A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2021},
volume={26},
number={3},
pages={77-88},
doi={10.9708/jksci.2021.26.03.077}
TY - JOUR
AU - Jinhui Chen
AU - Jin Chan Yong
TI - A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry
JO - Journal of The Korea Society of Computer and Information
PY - 2021
VL - 26
IS - 3
PB - The Korean Society Of Computer And Information
SP - 77
EP - 88
SN - 1598-849X
AB - The development history of China's big data is relatively short, and it has only been ten years so far.
Although the application level of big data in real life is not high, some achievements have been made in the supply chain. Various kinds of data will be generated in the actual operation of the supply chain. If these data can be effectively classified and used, the "bullwhip effect" of the operation of the supply chain can be also effectively improved. Thus this paper proposes the development of a supply chain collaborative inventory management model and application framework using big data. In this study, we analyzed the supply chain of beer industry, which is the most prominent consumption industry with "bullwhip effect", and further established a big data collaborative inventory management model for the supply chain of beer industry based on system dynamics. We used the Vensim software for simulation and sensitivity test and after appling our model, we found that the inventory fluctuations of the participants in the beer industry supply chain became significantly smaller, which verified the effectiveness of the model.
Our study can be also applied to the possible problems of the large data supply chain collaborative inventory management model, and gives certain countermeasures and suggestions.
KW - Big data;SCM;Inventory management;System dynamics;Bullwhip effect
DO - 10.9708/jksci.2021.26.03.077
ER -
Jinhui Chen and Jin Chan Yong. (2021). A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry. Journal of The Korea Society of Computer and Information, 26(3), 77-88.
Jinhui Chen and Jin Chan Yong. 2021, "A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry", Journal of The Korea Society of Computer and Information, vol.26, no.3 pp.77-88. Available from: doi:10.9708/jksci.2021.26.03.077
Jinhui Chen, Jin Chan Yong "A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry" Journal of The Korea Society of Computer and Information 26.3 pp.77-88 (2021) : 77.
Jinhui Chen, Jin Chan Yong. A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry. 2021; 26(3), 77-88. Available from: doi:10.9708/jksci.2021.26.03.077
Jinhui Chen and Jin Chan Yong. "A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry" Journal of The Korea Society of Computer and Information 26, no.3 (2021) : 77-88.doi: 10.9708/jksci.2021.26.03.077
Jinhui Chen; Jin Chan Yong. A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry. Journal of The Korea Society of Computer and Information, 26(3), 77-88. doi: 10.9708/jksci.2021.26.03.077
Jinhui Chen; Jin Chan Yong. A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry. Journal of The Korea Society of Computer and Information. 2021; 26(3) 77-88. doi: 10.9708/jksci.2021.26.03.077
Jinhui Chen, Jin Chan Yong. A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry. 2021; 26(3), 77-88. Available from: doi:10.9708/jksci.2021.26.03.077
Jinhui Chen and Jin Chan Yong. "A Study on the Collaborative Inventory Management of Big Data Supply Chain : Case of China's Beer Industry" Journal of The Korea Society of Computer and Information 26, no.3 (2021) : 77-88.doi: 10.9708/jksci.2021.26.03.077
