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JACIII Vol.20 No.4 pp. 623-632
doi: 10.20965/jaciii.2016.p0623
(2016)

Paper:

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Influence of the Chinese Government Subsidy Policies on Supply Chain Members’ Profits: An Agent-Based Modeling and Simulation Approach

Ran Zhang*,** and Jie Lin*

*School of Economic and Management, Tongji University
Shanghai 200092, China

**School of Statistics and Information, Xinjiang University of Finance and Economics
Urumqi 830012, China

Received:
December 9, 2015
Accepted:
May 2, 2016
Published:
July 19, 2016
Creative Commons License
Keywords:
multi-agent, government subsidy, subsidy limit, supply chain simulation, profit distribution
Abstract
The series of subsidy policies launched by the Chinese government has affected supply chain members’ profits distribution. To explore this influence, an agent-based model was designed, and experiments were conducted under different subsidy levels. Our model focused on the ordinary business entities and their activities in the supply chain. By investigating the real world and other researchers’ studies, agent simulation class library (e.g., control agents, cooperation/collaboration agents, and fractal simulation agents) and their decision knowledge bases were designed to simulate the supply chain members’ behaviors, decision processes, and operation and production activities and behaviors. Price model, demand model and profit model under the subsidy were built to evaluate the supply chain members’ profits under different subsidy scenarios. Finally, a multi-echelon appliance supply chain model was constructed, and experiments were performed with different levels of subsidy limit. Results showed that the supply chain members’ profits increased under the government subsidy policy. The agent-based modeling and simulation method provides a novel approach to explore the impact on profit distribution.
Cite this article as:
R. Zhang and J. Lin, “Influence of the Chinese Government Subsidy Policies on Supply Chain Members’ Profits: An Agent-Based Modeling and Simulation Approach,” J. Adv. Comput. Intell. Intell. Inform., Vol.20 No.4, pp. 623-632, 2016.
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