A Review of Research on System Dynamics in Supply Chain Management

Main Article Content

Chaozhe Jiang
Yanmin Shen
Yangyan Shi
Fang Xu
Yantong Jin

Abstract

Based on the bibliometric method, this paper applies the text mining technology and draws the keyword cloud map and keyword co-occurrence network to deeply explore and comprehensively sort out the core application topics of system dynamics in supply chain management and its methodological system. It is found that system dynamics has important application value in many key areas such as inventory management, risk management, supply chain finance and green supply chain management. For each core application theme, this paper further extracts the keywords and constructs a co-occurrence network, which reveals the specific research directions, research methods and their interrelationships under each sub-theme in detail. In addition, in order to strengthen the empirical basis of the discussion, this paper cites several representative papers, analyses the simulations and numerical analyses carried out by these studies within the framework of system dynamics, and summarises the key parameters. Finally, based on the review and comprehensive analysis of the previous studies, this paper looks forward to future research trends, which will provide useful references for subsequent studies.

Article Details

How to Cite
Jiang, C., Shen, Y., Shi, Y., Xu, F., & Jin, Y. (2025). A Review of Research on System Dynamics in Supply Chain Management. Supply Chain and Sustainability Research: SCSR, 3(3), 82–103. https://doi.org/10.14456/scsr.2024.24
Section
Research articles

References

Bussieweke, F., Mula, J., & Campuzano-Bolarin, F. (2024). Optimisation of recovery policies in the era of supply chain disruptions: a system dynamics and reinforcement learning approach International Journal Of Production Research, Article 10.1080/00207543.2024.2383293. Retrieved October 27 2024, from https://doi.org/10.1080/00207543.2024.2383293

Chen, C. (2024). Agricultural Financial Supply Chain Model Based on System Dynamics and Mathematical Logic Analysis. Advances in Transdisciplinary Engineering, Article 10.3233/ATDE231232. Retrieved January 1 2024, from https://doi.org/10.3233/ATDE231232

Chen, S. K., Meng, Q., & Choi, T. M. (2022). Transportation research Part E-logistics and transportation review: 25 years in retrospect. Transportation Research Part E-Logistics And Transportation Review, 161, 102709.

Cooper, M. C., Lambert, D. M., & Pagh, J. D. (1997). Supply Chain Management: More Than a New Name for Logistics. The International Journal Of Logistics Management, 8(1), 1-14.

Dello Iacono, U., Reindorp, M., & Dellaert, N. (2015). Market adoption of reverse factoring. International Journal Of Physical Distribution & Logistics Management, 45(3), 286-308.

Duan, W., Liu, M. L., Xu, D. S., & Han, L. P. (2024). Remanufacturing Closed-Loop Supply Chain Contract Coordination Considering Quality Control. Systems. Article 10.3390/systems12090350. Retrieved September 6, 2024, from https://doi.org/10.3390/systems12090350

Farjana, S. H., & Ashraf, M. (2023). Developing the conceptual framework for the key performance indicators for sustainable wood waste supply chain. Environment Development And Sustainability. Article 10.1007/s10668-023-04174-0 2. Retrieved November 2, 2023, from https://doi.org/10.1007/s10668-023-04174-0

Forrester, J. W. (2007). System dynamics - a personal view of the first fifty years. System Dynamics Review, 23(2-3), 345-358.

Ghadge, A., Er, M., Ivanov, D., & Chaudhuri, A. (2022). Visualisation of ripple effect in supply chains under long-term, simultaneous disruptions: a system dynamics approach. International Journal Of Production Research, 60(20), 6173-6186.

Gu, Q., & Gao, T. (2016). Production disruption management for R/M integrated supply chain using system dynamics methodology. International Journal Of Sustainable Engineering. Article 10.1080/19397038.2016.1250838. Retrieved November 2, 2023, from http://dx.doi.org/10.1080/19397038.2016.1250838

Hong, Y. (2022). Operation Optimization of Supply Chain Financial System Based on System Dynamics. Computational Intelligence And Neuroscience, 2022, Article 3005816. Retrieved June 22, 2022, from https://doi.org/10.1155/2022/3005816

Izadi, E., Nikbakht, M., Feylizadeh, M. R., & Shahin, A. (2023). A system dynamics model in the humanitarian supply chain based on blockchain technology. International Journal Of Disaster Risk Reduction, 96, Article 103977. Retrieved October 1, 2023, from https://doi.org/10.1016/j.ijdrr.2023.103977

Ji, S. W., Xie, Q. X., & Fang, Y. C. (2012). System Dynamics Based Research on Performance of Supply Chain.Applied Mechanics And Materials, 181, 2643-2647

Khan, A. S., & Hebbar, S. (2021). System dynamics modelling for the chemical supply chain - a case study. International Journal Of Services And Operations Management, 3, 441-465.

Li, G., Ren, Y. M., Jiang, C. Y., Wang, W. W., & Guo, Y. J. (2024). Coordinated evolution game of marine supply chain from the perspective of sustainable development based on system dynamics. Ocean & Coastal Management, 254. Article 107195. Retrieved August 1, 2024, from https://doi.org/10.1016/j.ocecoaman.2024.107195

Naderi, K., Ahari, R. M., Jouzdani, J., & Amindoust, A. (2021). System dynamics model of production-inventory-routing system in the green supply chain. Journal Of Intelligent & Fuzzy Systems, 40(6), 11441-11454.

Olivares-Aguila, J., & ElMaraghy, W. (2021). System dynamics modelling for supply chain disruptions. International Journal Of Production Research, 59(6), 1757-1775.

Rajeev, A., Kannan, D., Pati, R. K., Padhi, S. S., & Bai, C. G. (2024). Policy analysis in agrochemical supply chain: a system dynamics approach. Annals Of Operations Research. Article 10.1007/s10479-024-06113-2. Retrieved August 26, 2024, from https://doi.org/10.1007/s10479-024-06113-2

Rathore, R., Thakkar, J. J., & Jha, J. K. (2021). Impact of risks in foodgrains transportation system: a system dynamics approach. International Journal Of Production Research, 59(6), 1814-1833.

Sterman, & John, D. (1989). Modeling Managerial Behavior: Misperceptions of Feedback in a Dynamic Decision Making Experiment. Management Science, 35(3), 321-339.

Sterman, J. (2000). Business Dynamics, System Thinking and Modeling for a Complex World. from http://lst-iiep.iiep-unesco.org/cgi-bin/wwwi32.exe/[in=epidoc1.in]/?t2000=013598/100

Tian, Y. H., Govindan, K., & Zhu, Q. H. (2014). A system dynamics model based on evolutionary game theory for green supply chain management diffusion among Chinese manufacturers. Journal Of Cleaner Production, 80, 96-105.

Tong, W., Mu, D., Zhao, F., Mendis, G. P., & Sutherland, J. W. (2019). The impact of cap-and-trade mechanism and consumers' environmental preferences on a retailer-led supply Chain. Resources Conservation And Recycling, 142, 88-100.

van Keeken, M., Dullaert, W. E. H., Inghels, D. A. M., & Wissink, P. L. J. (2024). The effects of product lifetime extension on short- and long-term supply chain circularity: A case study of the European aluminum automotive supply chain. Resources Conservation And Recycling, 211, 13, Article 107836. Retrieved August 28, 2024, from https://doi.org/10.1016/j.resconrec.2024.107836

Wang, T. S., Wu, Z. H., Cheng, P. Y., & Wang, Y. D. (2024). The effect of carbon quota allocation methods on maritime supply chain emission reduction. Transport Policy, 157, 155-166.

Yan, B., Wu, J. W., Liu, L. F., & Chen, Q. Q. (2017). Inventory Management Models In Cluster Supply Chains Based On System Dynamics. Rairo-Operations Research, 51(3), 763-778.

Zhang, H. Y., Tian, R., Wang, Q., & Wu, D. X. (2023). A Dynamic Credit Evaluation Approach Using Sensitivity-Optimized Weights for Supply Chain Finance. Tehnicki Vjesnik-Technical Gazette, 30(6), 1951-1958.

Zhang, M. L., Wang, Y. N., & Zhang, Y. J. (2024). Research on Supply Chain Coordination Decision Making under the Influence of Lead Time Based on System Dynamics. Systems, Article 32. Retrieved February 5, 2024, from https://doi.org/10.3390/systems12010032

Zhang, X. M., Shi, Y. Y., Zhang, P., Xu, F., & Jiang, C. Z. (2023). System dynamics modeling and robustness analysis for capital-constrained supply chain under disruption. Industrial Management & Data Systems, 123(2), 492-514.

Zhou, Y., Li, H., Hu, S., & Yu, X. (2022). Two-stage supply chain inventory management based on system dynamics model for reducing bullwhip effect of sulfur product. Annals Of Operations Research. Article 10.1007/s10479-022-04815-z. Retrieved June 6, 2022, from https://doi.org/10.1007/s10479-022-04815-z

Zhu, Q., Krikke, H., & Caniëls, M. C. J. (2021). The Effects of Different Supply Chain Integration Strategies on Disruption Recovery: A System Dynamics Study on the Cheese Industry. Logistics-Basel, 5(2), Article 19. Retrieved July 7, 2021, from https://doi.org/10.3390/logistics5020019