预制建筑供应链网络对欠载级联故障的稳健性

Qiang Du, Shasha Li, Yani Zhang, Yerong Zhang
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引用次数: 0

摘要

预制建筑供应链(PCSC)是一个复杂的网络,各实体之间高度相互依赖。在受到干扰后,它很容易出现连锁故障,导致项目延误或预算超支。因此,有必要建立一个稳健的网络模型,以防止级联失效,从而实现可持续的预制建筑系统。本研究探讨了预制建筑供应链网络(PCSCN)针对欠载级联故障的功能鲁棒性。首先,基于复杂网络理论,将预制装配式建筑供应链网络构建为一个三梯队供应链网络,从而描述出预制装配式建筑供应链的一般特征,为后续的数值模拟研究提供网络基础。然后,建立了更符合实际情况的欠载级联故障模型,增加了替代节点这一新要素,以描述 PCSCN 中的负载损失传播。最后,使用订单履行率(OFR)作为鲁棒性指标,从功能角度量化网络的鲁棒性。数值模拟结果表明,在 PCSCN 中,初始负载越大,节点越重要,组件制造商比建材供应商更重要。此外,节点容量上限参数α与鲁棒性呈正相关,失效系数β与鲁棒性呈负相关,边缘权重调整系数θ对鲁棒性无显著影响。该研究可为制定 PCSCN 风险管理中的级联控制和防御策略提供指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robustness of  prefabricated construction supply chain network against underload cascading failure
A prefabricated construction supply chain(PCSC) is a complex network with high interdependency between entities. After disturbance, it is prone to cascading failure, leading to project delays or budget overruns. Therefore, it is necessary to model a robust network against cascading failure to achieve a sustainable prefabricated construction system. This study explores the functional robustness of a prefabricated construction supply chain network (PCSCN) against underload cascading failure. First, the PCSCN is constructed as a three-echelon supply chain network based on complex network theory, which can characterize the general characteristics of PCSC and provide the network foundation for the subsequent numerical simulation research. Then, a more realistic underload cascading failure model that adds the new element of substitute nodes is established to describe load loss propagation in the PCSCN. Finally, the Order Fulfillment Rate(OFR) is used as the robustness index to quantify network robustness from a functional perspective. The numerical simulation results indicate that in the PCSCN, the larger the initial load is, the more important the node, and component manufacturers are more important than building material suppliers. In addition, the node capacity upper bound parameter α has a positive relationship with robustness, the failure coefficient β has a negative relationship, and the edge weight adjustment coefficient θ has no significant impact on robustness. This research can provide guidance for developing cascade control and defense strategies in PCSCN risk management.
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