论文标题
发现大型工程项目网络的脆弱性
Uncovering the fragility of large-scale engineering project networks
论文作者
论文摘要
众所周知，工程项目很难按时完成，经常将项目延迟延迟以在相互依存的活动中传播。在这里，我们使用了一个新的数据集，该数据集由14个不同的大规模工程项目的活动网络组成，以发现影响及时的项目完成的网络属性。我们提供了活动偏差的感染性的第一个经验证据，其中单个活动的扰动可能会影响下游多达4个活动，从而导致大型扰动级联反应。我们进一步表明，扰动聚类显着影响项目的整体延迟。最后，我们发现表现不佳的项目在高覆盖节点中具有最高的扰动，这可能导致最大的级联反应，而表现良好的项目的扰动较低，导致局部级联反应。总的来说，这些发现为网络科学框架铺平了道路，该框架可以实质上增强大型工程项目的交付。
Engineering projects are notoriously hard to complete on-time, with project delays often theorised to propagate across interdependent activities. Here, we use a novel dataset consisting of activity networks from 14 diverse, large-scale engineering projects to uncover network properties that impact timely project completion. We provide the first empirical evidence of the infectious nature of activity deviations, where perturbations in the delivery of a single activity can impact up to 4 activities downstream, leading to large perturbation cascades. We further show that perturbation clustering significantly affects project overall delays. Finally, we find that poorly performing projects have their highest perturbations in high reach nodes, which can lead to largest cascades, while well performing projects have perturbations in low reach nodes, resulting in localised cascades. Altogether, these findings pave the way for a network-science framework that can materially enhance the delivery of large-scale engineering projects.
