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首页> 外文会议>Moratuwa Engineering Research Conference >Value chain approach for modelling resilience of tiered supply chain networks
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Value chain approach for modelling resilience of tiered supply chain networks

机译：增值链条建模分层供应链网络恢复性

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摘要

Recent advances in network theory has encouraged the supply chain researchers to investigate the resilience of various supply chain network (SCN) topologies. In a typical SCN model, nodes and links represent the firms and their exchange relationships, respectively. A key requirement in such SCN models is accounting for node and link level heterogeneity, which can be used to more realistically represent the intricacies of real world SCNs. However, this requirement remains largely unaddressed in the contemporary literature. Accordingly, this work attempts to customize the standard network theoretic growth models and resilience metrics, to more closely represent the real world SCN characteristics. In particular, the model proposed in this paper accounts for: (1) the evolution of SCNs through fitness based attachment, (2) the tiered nature observed in real world SCNs, (3) the value added process, from upstream to the downstream of a typical supply chain, which captures heterogeneity of nodes at each tier, (4) the heterogeneity in link weights, and (5) the partial functionality, instead of complete omission, of nodes when simulating failures. The simulation results presented indicate that the proposed model, which closely represents the specific heterogeneous features between the individual network constituents, can be effectively utilized to gain valuable insights on resilience characteristics of real world SCNs.
机译：网络理论的最新进展鼓励供应链研究人员调查各种供应链网络（SCN）拓扑的抵御能力。在典型的SCN模型中，节点和链接分别表示公司及其交换关系。此类SCN模型中的一个关键要求是占节点和链接水平异质性，这可以用于更现实地代表现实世界SCNS的复杂性。然而，这一要求在当代文学中仍然在很大程度上没有压制。因此，这项工作试图定制标准网络理论增长模型和弹性度量，更紧密地代表现实世界的SCN特征。特别地，本文提出的模型占：（1）通过基于健身的附件的SCN的演变，（2）在现实世界SCNS中观察到的分层性质，（3）增值过程，从上游到下游一种典型的供应链，其在每个层时捕获节点的异质性，（4）链路权重中的异构性，以及（5）在模拟故障时的节点的部分功能，而不是完全省略。提出的仿真结果表明，所提出的模型，其密切地代表各个网络成分之间的具体异构特征，可以有效地利用对现实世界SCNS的恢复性特征来获得有价值的见解。

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