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Fuzzy Emergency Model and Robust Emergency Strategy of Supply Chain System under Random Supply Disruptions

机译:随机供应中断下供应链系统的模糊应急模型及鲁棒应急策略

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摘要

For random distributors under supply disruptions caused by emergency incidents, a fuzzy emergency model and a robust emergency strategy of the supply chain system are studied. First, for a kind of supply chain system composed of a strategic manufacturer, a backup manufacturer, and multiple distributors, the basic emergency models, including the inventory models and a total cost model, are constructed under random supply disruptions. Then, based on the Takagi-Sugeno fuzzy system, the basic emergencymodels of the supply chain system are converted into a discrete switchingmodel,which can realize soft switching among the basic emergency models. Furthermore, according to the different inventory levels, the strategic manufacturer's production strategies and the distributors' ordering strategies are designed to reduce the inventory costs of the node enterprises in supply chain system. Second, by defining a discrete piecewise Lyapunov function in each maximal overlapped-rules group, a new fuzzy robust emergency strategy for the supply chain system is proposed through the principle of parallel distributed compensation. This emergency strategy can not only restore the impaired supply chain to the normal operation state but also keep the total cost of the supply chain at a low level and guarantee the robust stability of the emergency supply chain system. Finally, the simulation results illustrate the effectiveness of the proposed fuzzy robust emergency strategy of the supply chain system.
机译:对于由紧急事故引起的供应中断的随机分销商,研究了模糊的应急模型和供应链系统的强大紧急策略。首先,对于由战略制造商,备用制造商和多个分销商组成的供应链系统,基本的应急模型包括库存模型和总成本模型,是在随机供应中断的构建。然后,基于Takagi-Sugeno模糊系统,供应链系统的基本紧急情况被转换为一个离散的开关模型,可以实现基本紧急模型之间的软切换。此外,根据不同的库存水平,战略制造商的生产战略和分销商的订购策略旨在减少供应链系统中节点企业的库存成本。其次,通过在每个最大重叠规则组中定义离散分段Lyapunov功能,通过并行分布式补偿原理提出了一种用于供应链系统的新的模糊强大的紧急策略。这种应急策略不仅可以将受损供应链恢复到正常运行状态,而且还保持供应链的总成本,以低水平保持供应链的总成本,并保证应急供应链系统的稳定稳定性。最后,仿真结果说明了供应链系统的建议模糊强大策略的有效性。

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