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Operation Optimization of Supply Chain Financial System Based on System Dynamics.
1School of Economics and Management, Xiamen University of Technology, Ligong Road, Jimei District, Xiamen 361024, Fujian, China.
Computational Intelligence and Neuroscience
|July 5, 2022
Summary
Supply chain finance (SCF) boosts SME financing and reduces financial risks. System dynamics modeling shows increasing bank input significantly enhances supply chain output value, proving finance
Area of Science:
- Business and Economics
- Financial Engineering
- Operations Research
Background:
- Supply chain finance (SCF) addresses financing challenges for small and medium-sized enterprises (SMEs).
- SCF offers risk reduction for financial institutions and new profit avenues for logistics firms.
- Rapid growth of SCF in China necessitates analytical frameworks for collaborative development.
Purpose of the Study:
- To analyze and study the collaborative development of supply chain finance using system dynamics.
- To optimize system operations within supply chain finance through a system dynamics approach.
Main Methods:
- Elaboration of System Dynamics (SD) and Supply Chain Finance (SCF) concepts.
- Design and analysis of a supply chain financial system model based on SD.
- Simulation experiments to evaluate the impact of varying 'bank input' levels.
Main Results:
- Increasing 'bank input' from 0.1 to 2 yields substantial long-term economic benefits.
- Simulations indicate a significant positive promotion effect on overall supply chain performance.
- Supply chain output value can increase by 42.14% (from 2,963.04 to 4,211.73 billion yuan).
Conclusions:
- The financial industry demonstrates a significant positive impact on supply chain support.
- System dynamics modeling provides a robust framework for analyzing SCF collaborative development.
- Findings offer evidence-based guidance for practical applications in enhancing supply chain finance.
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