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Simulation study of pharmaceutical supply chains based on system dynamics

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  • Qin, Yuming
  • Lan, Hongjie

Abstract

Focusing on the multi-stage complex logistics distribution process of distribution centers, this study proposes and establishes a characteristic state model, analysis, and control methods for logistics distribution centers. These are combined with system dynamics simulation methods for logistics systems to conduct an in-depth study on the optimization and control of distribution center operations. Based on actual distribution process data from a pharmaceutical logistics distribution center, the proposed theories and methods are validated against real-world engineering backgrounds.

Suggested Citation

  • Qin, Yuming & Lan, Hongjie, 2025. "Simulation study of pharmaceutical supply chains based on system dynamics," Finance Research Letters, Elsevier, vol. 72(C).
    • Handle: RePEc:eee:finlet:v:72:y:2025:i:c:s1544612324014764
    DOI: 10.1016/j.frl.2024.106447
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    References listed on IDEAS

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    5. Kalaiarasi Kalaichelvan & Soundaria Ramalingam & Prasantha Bharathi Dhandapani & Víctor Leiva & Cecilia Castro, 2024. "Optimizing the Economic Order Quantity Using Fuzzy Theory and Machine Learning Applied to a Pharmaceutical Framework," Mathematics, MDPI, vol. 12(6), pages 1-22, March.
    6. Ana Esteso & M.M.E. Alemany & Angel Ortiz, 2018. "Conceptual framework for designing agri-food supply chains under uncertainty by mathematical programming models," International Journal of Production Research, Taylor & Francis Journals, vol. 56(13), pages 4418-4446, July.
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    1. Marta Rinaldi & Mario Caterino & Stefano Riemma & Roberto Macchiaroli & Marcello Fera, 2025. "Emergency Supply Chain Resilience Enhanced Through Blockchain and Digital Twin Technology," Logistics, MDPI, vol. 9(1), pages 1-24, March.

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