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To address disruptions and optimize complex product design changes in supply chains (SCs), this chapter integrates resilient supply chain system (RSCS) and product design change optimization. A novel RSCS based on FCBPSS framework is proposed to mitigate raw material supply risks, while a complex product multi-layer network with service performance is established. A triple-objective selection model (SPI degree, change cost, time) and improved P-BMOPSO algorithm are developed for optimization. Case studies validate the RSCS feasibility and P-BMOPSO superiority in obtaining optimal design change plans, providing new methods for SC resilience and product design optimization.

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Product Change Modeling with Multi-objective Optimization

  • 章节

  • 发表日期：

    2026年

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  • Chen Peng,
  • Hongfeng Wang,
  • Yi Yang,
  • Yong Zhang

摘要

To address disruptions and optimize complex product design changes in supply chains (SCs), this chapter integrates resilient supply chain system (RSCS) and product design change optimization. A novel RSCS based on FCBPSS framework is proposed to mitigate raw material supply risks, while a complex product multi-layer network with service performance is established. A triple-objective selection model (SPI degree, change cost, time) and improved P-BMOPSO algorithm are developed for optimization. Case studies validate the RSCS feasibility and P-BMOPSO superiority in obtaining optimal design change plans, providing new methods for SC resilience and product design optimization.