Recovery Strategy Considering Product Changes and Life Cycle

Chen Peng (), Hongfeng Wang (), Yi Yang () and Yong Zhang ()
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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

Chapter Chapter 7 in Modeling and Resilience Recovery for Disrupted Supply Chain, 2026, pp 139-163 from Springer

Abstract: 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.

Keywords: Supply chain disruption; COVID-19; Product change; Product life cycle (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-981-95-4901-6_7

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