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Task network modeling: resolving manning issues in complex environments

机译:任务网络建模:解决复杂环境中的曼宁问题

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Limitations that humans impose on task execution are rarely integrated into simulations of complex systems, resulting in loss of outcome fidelity. A discrete-event simulation tool has been used to model the impact of human interactions in US Navy and Coast Guard vessels. Models for these vessels have been used to estimate workload and fatigue. In workload measuring applications detailed task networks for teams of individuals were modeled over the 14-day scenarios. Predictions of operator utilization for several manning configurations were used to optimize manning and task allocations for the team. Models predicting fatigue were developed for entire crews to estimate the impact of work and sleep schedules over the same 14-day period on individual fatigue levels. Used in combination, these models provide predictions of the appropriate team size needed to maintain that watch level around the clock for a sustained period of time.
机译:人类强加于任务执行的限制很少集成到复杂系统的模拟中,导致结果保真度丢失。分立事件仿真工具已被用于模拟美国海军和海岸警卫队船舶人类互动的影响。这些船只的模型已被用于估计工作量和疲劳。在工作负载测量应用中,在14天的情况下,个人的团队进行详细的任务网络。用于若干Manning配置的操作员使用的预测用于优化团队的曼宁和任务分配。为整个机组人员开发了预测疲劳的模型,以估计在同一14天内的工作和睡眠时间表对个体疲劳水平的影响。组合使用,这些模型提供了保持适当的团队规模所需的预测,以便在持续的时间内保持时钟围绕时钟。

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