基于仿真的包装食品供应链韧性优化技术研究

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中图分类号：F274 文献标志码：ADOI：10.13714/j.cnki.1002-3100.2025.15.023

Abstract：Supplychainresilience isa key factor inmaintainingthe competitiveness of a/firm under the disruption ofuncertainty.Currently， there are fewer studies on packaged food supply chain considering toughness and cost. Therefore，a quantitative scheme of supply chain resilience is proposed based on the plan to enhance resilience through redundancy ofsupply chain network nodes and establish a multi-objective optimization model by takingcost into account.Simulation technology and Monte Carlo simulation are used to analyze the main uncertain disturbances in the supply chain， combined with the NSGA-II algorithm for simulation optimization， and the population initialization of this algorithm is improved todesign the crossover operator based on high-value information.Finally，the effectiveness of the algorithm is verified through cases to obtain the approximate optimal solution set. The research results have certain practical application value.

Key words： supply chain resilience; uncertainty; NSGA -I; simulationoptimization

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