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Uncovering the fragility of large-scale engineering projects
2021
EPJ Data Science
AbstractEngineering 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 empirical evidence of perturbation cascades, where perturbations in the delivery of a single activity can impact the delivery of up to 4 activities
doi:10.1140/epjds/s13688-021-00291-w
fatcat:x2eb7uumufaormkszbrdn3faa4