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Mitigating supply chain disruptions through interconnected logistics services in the Physical Internet

机译:通过物理互联网中的互连物流服务缓解供应链中断

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This paper investigates the resilience of inventory models using interconnected logistics services in the Physical Internet (PI). With traditional supply chain network design, companies define and optimise their own logistics networks, resulting in current logistics systems being a set of independent heterogeneous logistics networks. The concept of PI aims to integrate independent logistics networks into a global, open, interconnected system. Prior research has shown that new inventory models enabled by and applied to PI could help reduce inventory levels thanks to its high flexibility. Continuing along these lines, this paper examines how inventory models applying PI deal with disruptions at hubs and plants. To attain this, a single product inventory problem with uncertain demands and stochastic supply disruptions is studied. A simulation-based optimisation model is proposed to determine inventory control decisions. The results suggest that the PI inventory model, with greater agility and flexibility, outperforms the current classic inventory models in terms of resilience. Moreover, the difference in performance increases when the product value, penalty costs and disruption frequency increases. This paper indicates a novel approach to build a resilient supply network.
机译:本文研究了物理互联网(PI)中使用互连物流服务的库存模型的弹性。通过传统的供应链网络设计,公司可以定义和优化自己的物流网络,从而使当前的物流系统成为一组独立的异构物流网络。 PI的概念旨在将独立的物流网络集成到一个全球,开放,互连的系统中。先前的研究表明,由于PI具有很高的灵活性,因此启用并应用于PI的新库存模型可以帮助降低库存水平。沿着这些思路继续,本文研究了应用PI的库存模型如何处理枢纽和工厂的中断。为此,研究了具有不确定需求和随机供应中断的单个产品库存问题。提出了一种基于仿真的优化模型来确定库存控制决策。结果表明,在灵活性方面,PI库存模型具有更高的敏捷性和灵活性,优于目前的经典库存模型。此外,当产品价值,惩罚成本和中断频率增加时,性能差异也会增加。本文指出了一种建立弹性供应网络的新颖方法。

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