The Study based on Coordination of Revenue Sharing Contract in Three-stage Port Supply Chain under Emergencies
Shihao Gong, Zhangchi Sun
2022
Abstract
On the basis of random market demand, establishing revenue sharing contract can achieve the coordination of the three-stage port supply chain system. However, the drastic fluctuations of market demand caused by emergencies will break the coordination of supply chain in stable market, which in turn affects the normal operation of each node enterprise. This paper gives an emergency optimization strategy for the multimodal transport service supply chain with the port as the integrator under the emergencies, which makes the original contract has stronger robustness; and gives the relationship of the profit distribution coefficients among the subjects when supply chain systems yield the most, and finally verifies the effectiveness of the improved revenue sharing contract through case analysis.
DownloadPaper Citation
in Harvard Style
Gong S. and Sun Z. (2022). The Study based on Coordination of Revenue Sharing Contract in Three-stage Port Supply Chain under Emergencies. In Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM, ISBN 978-989-758-593-7, pages 658-668. DOI: 10.5220/0011207700003440
in Bibtex Style
@conference{bdedm22,
author={Shihao Gong and Zhangchi Sun},
title={The Study based on Coordination of Revenue Sharing Contract in Three-stage Port Supply Chain under Emergencies},
booktitle={Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,},
year={2022},
pages={658-668},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011207700003440},
isbn={978-989-758-593-7},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Big Data Economy and Digital Management - Volume 1: BDEDM,
TI - The Study based on Coordination of Revenue Sharing Contract in Three-stage Port Supply Chain under Emergencies
SN - 978-989-758-593-7
AU - Gong S.
AU - Sun Z.
PY - 2022
SP - 658
EP - 668
DO - 10.5220/0011207700003440