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Simulation of an Army Deep Operations Combat Decision-making Process

机译:陆军深度作战战斗决策过程的仿真

摘要

A model of an Army Deep Operations Coordination Cell (DOCC) Combat Decisionmaking process (CDP) is presented. The model was developed from U.S. Army doctrine and current U.S. Army Corps Command Centers. Each of the functions of the DOCC CDP were identified and linked together in a functional flow chart. The distribution for each of these individual functions durations were identified, and personnel requirements for each of the functions were assigned. This model was then tested through a simulation built by the author. The simulation was designed for use in analysis of the DOCC and other Command and Control organizations. The DOCC CDP then was tested using the performance characteristics of mission completion times. Once our baseline analysis was completed, we experimented with selective manpower reductions. We show that the overall manning of the DOCC CDP would be reduced from 100 percent of authorized levels to less than one third of the authorized levels without degrading baseline completion rates.
机译:提出了陆军深度作战协调小组(DOCC)作战决策过程(CDP)的模型。该模型是根据美国陆军理论和当前的美国陆军兵团指挥中心开发的。确定了DOCC CDP的每个功能,并在功能流程图中将它们链接在一起。确定了每个单独功能持续时间的分布,并分配了每个功能的人员需求。然后,通过作者建立的仿真对该模型进行了测试。该模拟旨在用于DOCC和其他指挥与控制组织的分析。然后使用任务完成时间的性能特征对DOCC CDP进行了测试。一旦完成基线分析,我们就进行了选择性的人力削减实验。我们表明,在不降低基准完成率的前提下,DOCC CDP的总体人员配置将从授权级别的100%减少到授权级别的三分之一以下。

著录项

  • 作者

    McKinzie Kaye;

  • 作者单位
  • 年度 1995
  • 总页数
  • 原文格式 PDF
  • 正文语种 en_US
  • 中图分类

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