Product Change Modeling with Multi-objective Optimization

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 3 in Modeling and Resilience Recovery for Disrupted Supply Chain, 2026, pp 35-67 from Springer

Abstract: Abstract 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.

Keywords: service performance; multi-objective optimization; design change; complex product network (search for similar items in EconPapers)
Date: 2026
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DOI: 10.1007/978-981-95-4901-6_3

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