Consumption compensation is the driving force for motivating each supply chain link to set up information nodes, which is of great significance for promoting informatization, modernization, transformation, and upgrading of the supply chain system. This study simulates the evolution process of strategic selection for each supply chain link to set information nodes independently or collectively under the unconstrained government rewards conditions and punishments. The main conclusions are as follows: (1) When each link in the supply chain provides source tracing information independently, the vendor chooses to set up information nodes for the links with large information cost compensation coefficients. (2) When the vendor provides source tracing information cooperatively if the collaborative benefit is less than the cooperation cost, the information node will be set to the link with the large compensation coefficient. If not, information nodes will be set in each link. (3) Under the government incentive mechanism, enterprises are willing to cooperate. The punishment mechanism helps avoid situations where neither side sets up information nodes. The compensation coefficient is a prerequisite for mechanisms to work.
Keywords: Compensation mechanism, cooperation mechanism, government reward and punishment, traceability information, evolutionary game
@article{RO_2022__56_5_3405_0,
author = {Liu, Ran and Zhao, Lindu},
title = {Evolutionary game study on information nodes setting in supply chain tracing based on compensation mechanism},
journal = {RAIRO. Operations Research},
pages = {3405--3428},
year = {2022},
publisher = {EDP-Sciences},
volume = {56},
number = {5},
doi = {10.1051/ro/2022149},
mrnumber = {4487867},
zbl = {1502.90010},
language = {en},
url = {https://www.numdam.org/articles/10.1051/ro/2022149/}
}
TY - JOUR AU - Liu, Ran AU - Zhao, Lindu TI - Evolutionary game study on information nodes setting in supply chain tracing based on compensation mechanism JO - RAIRO. Operations Research PY - 2022 SP - 3405 EP - 3428 VL - 56 IS - 5 PB - EDP-Sciences UR - https://www.numdam.org/articles/10.1051/ro/2022149/ DO - 10.1051/ro/2022149 LA - en ID - RO_2022__56_5_3405_0 ER -
%0 Journal Article %A Liu, Ran %A Zhao, Lindu %T Evolutionary game study on information nodes setting in supply chain tracing based on compensation mechanism %J RAIRO. Operations Research %D 2022 %P 3405-3428 %V 56 %N 5 %I EDP-Sciences %U https://www.numdam.org/articles/10.1051/ro/2022149/ %R 10.1051/ro/2022149 %G en %F RO_2022__56_5_3405_0
Liu, Ran; Zhao, Lindu. Evolutionary game study on information nodes setting in supply chain tracing based on compensation mechanism. RAIRO. Operations Research, Tome 56 (2022) no. 5, pp. 3405-3428. doi: 10.1051/ro/2022149
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