Fostering emergent resilience: the complex adaptive supply network of disaster relief

Fostering emergent resilience: the complex adaptive supply network of disaster relief
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DOI:
10.1080/00207543.2013.787496
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发表时间:
2014-04-03
影响因子:
9.2
通讯作者:
Day, Jamison M.
Day, Jamison M.
中科院分区:
工程技术2区
文献类型:
--
作者:
Day, Jamison M.

文献摘要

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灾害的频率和强度继续增加。在大规模灾难发生后,当地组织与其他响应组织整合,迅速形成救灾供应链网络。这种供应网络很少在一个地方启动,产生前所未有的不确定性,变化迅速,并受到拯救生命和恢复生计的紧迫性的驱动。不幸的是,即使在采用健全的供应链管理做法的情况下,供应网络的复原力也各不相同,充分的救灾业绩仍然难以实现。本文与需求驱动的稳态供应链相比,研究了救灾工作所表现出的几个独特特征。资源、资金和信息流动的重要差异被确定。一个复杂的自适应供应网络(CASN)的透镜是用来框架现有的文献已经发现有关救灾工作,显示如何救援组织,他们的相互作用,以及他们的环境背景下,帮助确定的恢复能力,供应网络经历灾害后的水平。这种CASN特征被用来帮助解释为什么传统的供应链管理实践会导致不同的救灾结果。最后,利用复杂性科学理论提出了八个可检验的命题,可能有助于提高供应网络的弹性。
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.