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Petri Net-Based Modeling on Operational and Structural Dynamics

In: Modeling and Resilience Recovery for Disrupted Supply Chain

Author

Listed:
  • Chen Peng

    (Shanghai University, School of Mechatronic Engineering and Automation)

  • Hongfeng Wang

    (Northeastern University)

  • Yi Yang

    (Shanghai University)

  • Yong Zhang

    (China University of Mining and Technology, School of Information and Control Engineering)

Abstract

This chapter addresses supply chain network (SCN) hybrid modeling and fuzzy control under disruptions via Petri nets (PNs). A T-S fuzzy operational model integrating delivery rate regulation experience is established, and a unified PN-based model is developed to visualize continuous operations and discrete disruptions. Fuzzy control criteria are derived through Lagrange-Lyapunov stability analysis on hybrid markings. A hydrogen SCN case validates the effectiveness and superiority of proposed methods in mitigating disruptions and stabilizing operations.

Suggested Citation

  • Chen Peng & Hongfeng Wang & Yi Yang & Yong Zhang, 2026. "Petri Net-Based Modeling on Operational and Structural Dynamics," Springer Books, in: Modeling and Resilience Recovery for Disrupted Supply Chain, chapter 0, pages 69-89, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-4901-6_4
    DOI: 10.1007/978-981-95-4901-6_4
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