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Recovery Strategy Considering Product Changes and Life Cycle

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

To address long-term supply chain (SC) disruptions caused by COVID-19, this chapter integrates two mitigation strategies: product change and emergency procurement, while incorporating product life cycle (PLC) and design change time. A mixed-integer linear programming (MILP) model is proposed to maximize manufacturer profit, considering backorder compensation, lost sales, and multi-echelon SC structures (suppliers-manufacturer-distribution centers-clients). A two-stage heuristic algorithm solves the model efficiently. Numerical experiments verify that the strategy effectively reduces profit losses by adapting to PLC stages (introduction/growth/maturity) and balancing supply-demand dynamics. Sensitivity analysis confirms robustness to key parameters like change cost and production capacity. This work provides a practical tool for SC resilience under prolonged disruptions.

Suggested Citation

  • Chen Peng & Hongfeng Wang & Yi Yang & Yong Zhang, 2026. "Recovery Strategy Considering Product Changes and Life Cycle," Springer Books, in: Modeling and Resilience Recovery for Disrupted Supply Chain, chapter 0, pages 139-163, Springer.
    • Handle: RePEc:spr:sprchp:978-981-95-4901-6_7
    DOI: 10.1007/978-981-95-4901-6_7
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