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首页> 外文期刊>International Journal of Production Research >Fostering emergent resilience: the complex adaptive supply network of disaster relief
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Fostering emergent resilience: the complex adaptive supply network of disaster relief

机译：增强紧急应变能力：复杂的救灾适应性供应网络

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摘要

The frequency and intensity of disasters continue to increase. Following large-scale and catastrophic disasters, local organisations integrate with other responding organisations to form hastily disaster relief supply chain networks. Such supply networks are infrequently activated in a single location, generate unparalleled uncertainty, change quickly, and are driven by the urgency of saving lives and restoring livelihoods. Unfortunately, even where sound supply chain management practices are used, supply networks have encountered diverse levels of resilience and adequate disaster relief performance has remained elusive. In this paper, several unique characteristics that disaster relief efforts exhibit are examined as compared with demand-driven, steady-state supply chains. Important differences in the flows of resource, money, and information are identified. A complex adaptive supply network (CASN) lens is used to frame what existing literature has uncovered regarding disaster relief efforts, showing how relief organisations, their interactions, and their environmental context help determine the level of resilience that supply networks experience following disasters. This CASN characterisation is leveraged to help explain why traditional supply chain management practices lead to varied results in disaster relief. Finally, complexity science theory is drawn on to set forth eight testable propositions that may help to enhance supply network resilience.
机译：灾难的频率和强度不断增加。在发生大规模灾难性灾难之后，本地组织与其他响应组织进行整合，以形成草率的救灾供应链网络。此类供应网络很少在单个位置激活，产生无与伦比的不确定性，变化迅速，并且受到挽救生命和恢复生计的紧迫性的驱动。不幸的是，即使在采用可靠的供应链管理实践的情况下，供应网络也遇到了不同程度的弹性，并且仍然难以获得足够的救灾表现。与需求驱动的稳态供应链相比，本文研究了救灾工作表现出的几个独特特征。确定了资源，资金和信息流动方面的重要差异。复杂的适应性供应网络（CASN）镜头用于对有关救灾工作的现有文献进行揭示，以显示救灾组织，它们之间的相互作用以及环境环境如何帮助确定供应网络在灾难后所经历的复原力水平。利用CASN的这种特征可以帮助解释为什么传统的供应链管理实践会在救灾中带来不同的结果。最后，根据复杂性科学理论提出了八个可测试的命题，它们可能有助于增强供应网络的弹性。

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