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作 者:马丽 台玉红[1] Li Ma;Yuhong Tai(School of Management,University of Shanghai for Science and Technology,Shanghai)
机构地区:[1]上海理工大学管理学院,上海
出 处:《建模与仿真》2025年第2期696-707,共12页Modeling and Simulation
摘 要:随着供应链网络思想的全球化应用和电商物流的快速普及发展,人们对生鲜农产品的需求激增,并推动生鲜农产品供应链网络的良性发展。然而,由于生鲜农产品的产品特性具有不宜存放、销售具有时令性,且消费者对其新鲜程度有着较高要求等因素,使得其供应链网络更易受到各类供应中断风险事件的扰动,为其正常的运转带来较大的挑战。因此,在面对各类潜在的供应中断风险时,研究如何提高供应链应对供应中断风险扰动的能力并设计具有较高韧性的供应链网络具有重要的意义。基于此,本文考虑三级供应链网络中供应端和分销流转中心发生双层级节点供应中断的情况,构建具有较高韧性的生鲜农产品供应链网络优化模型,并采用情景法和鲁棒优化的思想对模型中的不确定参数进行确定性转化;接着,设计遗传算法和模拟退火算法相结合的混合遗传算法对该模型进行求解;最后,通过算例仿真分析,验证了该模型和算法的可行性和实用性。With the globalization of supply chain network thinking and the rapid popularization and development of e-commerce logistics,people’s demand for fresh agricultural products has surged,and it promotes the benign development of the supply chain network of fresh agricultural products.However,due to the product characteristics of fresh agricultural products,which are not suitable for storage,seasonal sales,and consumers have higher requirements for freshness,etc.,the supply chain network is more susceptible to all kinds of supply disruption risk events,which brings greater challenges to its normal operation.Therefore,it is of great significance to study how to improve the supply chain’s ability to cope with supply disruption risk and design a supply chain network with high resilience in the face of various potential supply disruption risks.Based on this,this essay considers the supply disruption of two-tier nodes in the supply side and distribution flow center in the three-tier supply chain network,constructs a supply chain network optimization model for fresh agricultural products with high resilience,and adopts the scenario method and the idea of robust optimization to transform uncertain parameters in the model into deterministic ones;then,the hybrid genetic algorithm combining the genetic algorithm and simulated annealing algorithm is designed to solve the model;finally,the model is solved through an arithmetic example;and then,the model is designed by the hybrid genetic algorithm.Finally,the feasibility and practicability of the model and algorithm are verified by simulation analysis.
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