Advances in Economics, Management and Political Sciences
- The Open Access Proceedings Series for Conferences
Proceedings of the 3rd International Conference on Business and Policy Studies
Series Vol. 80 , 10 May 2024
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Decision Analysis of Cold Chain Supply Chain Based on a Stochastic Evolution Model
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Abstract
Accelerating the development of cold chain logistics for agricultural products is not only an objective requirement for the development of agricultural product circulation but also a necessary demand to promote rural revitalization and upgrade agricultural consumption. Addressing the evolutionary problems of cold chain transportation in uncertain environments, this study considers the actual stochastic disturbances in the cold chain supply chain system, introducing Gaussian white noise to reflect the random perturbations experienced during the evolution of the cold chain. A three-party stochastic evolutionary game model is established involving farmers, logistics enterprises, and government regulatory authorities. Based on this model, numerical simulation analysis is conducted to explore the effects of different factors such as the intensity of random disturbances and the loss transfer coefficient on the fluctuation of strategic choices of the entities and the convergence speed to a stable state during evolution. Finally, combining the results of numerical simulation, relevant policies and recommendations are proposed to provide insights and guidance for the development of cold chain logistics in agricultural products.
Keywords
Cold Chain Logistics, Agricultural Supply Chain, Stochastic Evolutionary Game
References
1. Ye, J., & Li, S. C. (2019). Research on the Problems and Countermeasures of Cold Chain Logistics Development of Agricultural Products under the Rural Revitalization Strategy. Comprehensive Transportation, 2019(12), 102-105.
2. Zhu, L. L., & Guo, P. F. (2016). Analysis of Government-Cold Chain Food Enterprise Quality and Safety Supervision Game. China Management Science, 2016, 24(S1), 644-649.
3. Xu, Y. Q., Yu, Q. J., & Zheng, Y. (2019). Evolutionary Game Analysis of Cold Chain Logistics for Fresh Agricultural Products under the Online Shopping Model. Journal of Harbin University of Commerce (Natural Science Edition), 2019(06), 753-757.
4. Li, C. F., Zu, X. T., & Tian, G. D. (2022). Price Competition, Fresh-keeping Efforts, and Evolution of Cold Chain Logistics Models in Agricultural Product E-commerce. Complex Systems and Complexity Science, 1-10.
5. Zhang, Y. H., Zhou, Y., & Yang, J. Q. (2022). Evolutionary Game and Simulation Analysis of the Cold Chain Logistics Platform Ecosystem. Science and Technology Management Research, 2022, 42(18), 173-181.
6. Yang, Y. H., Fan, J., & Zhu, D. D. (2020). Research on Quality Management of Construction Engineering Supply Chain Based on Stochastic Evolutionary Game. Journal of Engineering Management, 2020, 34(06), 19-24.
7. Li, J. Q., & Ren, H. (2020). R&D Manipulation, "Win-Win Dilemma," and Effective Regulation—Stochastic Evolutionary Game and Simulation. Journal of Systems Management, 2020, 29(6), 1078-1089.
Data Availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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- Volume Title
- Proceedings of the 3rd International Conference on Business and Policy Studies
- ISBN (Print)
- 978-1-83558-419-4
- ISBN (Online)
- 978-1-83558-420-0
- Published Date
- 10 May 2024
- Series
- Advances in Economics, Management and Political Sciences
- ISSN (Print)
- 2754-1169
- ISSN (Online)
- 2754-1177
- DOI
- 10.54254/2754-1169/80/20241578
- Copyright
- 10 May 2024
- Open Access
- This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited