Task network modeling: resolving manning issues in complex environments

C. Wetteland, S. Bowen, J. French
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Abstract

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.
任务网络建模:解决复杂环境中的人员配置问题
人类对任务执行的限制很少被整合到复杂系统的模拟中,导致结果保真度的损失。一种离散事件模拟工具已被用于模拟美国海军和海岸警卫队船只中人类互动的影响。这些船只的模型被用来估计工作量和疲劳。在工作负载测量应用程序中,个人团队的详细任务网络在14天的场景中建模。对几种人员配置的操作人员利用率的预测用于优化团队的人员配置和任务分配。研究人员为全体船员开发了疲劳预测模型,以估计在相同的14天内工作和睡眠时间表对个人疲劳水平的影响。结合使用,这些模型提供了在一段持续的时间内维持该监视水平所需的适当团队规模的预测。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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