G2TT
来源类型Report
规范类型报告
DOIhttps://doi.org/10.7249/RR1516
来源IDRR-1516-OSD
A Throughput-Based Analysis of Army Active Component/Reserve Component Mix for Major Contingency Surge Operations
Michael E. Linick; Igor Mikolic-Torreira; Katharina Ley Best; Alexander Stephenson; Jeremy M. Eckhause; Isaac Baruffi; Christopher M. Carson; Eric J. Duckworth; Melissa Bauman
发表日期2019-05-08
出版年2019
语种英语
结论

Mobilization Decisions

  • Early mobilization has the greatest effect on the ability to meet demand with RC inventory.
  • Early mobilization requires a credible warning and/or a decision to preemptively mobilize at least some units; this will not always be feasible or politically viable.
  • Early mobilization allows both training and facility ramp-up to begin earlier.

Mobilization Force Generation Installation Capacity

  • Within the range examined in this report (based on reasonable ranges specified by subject-matter experts), increasing the speed at which mobilization facilities ramp up capacity has a lesser effect than early mobilization.

Training Time

  • Policies that reduce time required for postmobilization training improve RC's ability to meet demands but may come with higher cost and/or risk (e.g., resourcing or sustaining higher levels of premobilization readiness, improving training, or accepting increased risk).
  • RC BCTs and CABs can be trained in time to meet a sudden demand above and beyond already planned deployments only if training time is reduced or they are mobilized early.

Unit Sequencing

  • If Mobilization Force Generation Installation capacity remains limited, allocation of RC postmobilization training facilities must be prioritized.
  • Large, complex RC units can sometimes clog the training pipeline.
  • RC most efficiently provides small, quicker-to-train units.
  • RC contribution could focus on units well suited to rapid deployment.
  • Smaller RC units will not be able to meet demands in the first few weeks, with few exceptions.
摘要

This report examines how well the processes and timeline for generating ready forces from the Army reserve component (RC) units align with a need for rapid deployment to a future major conflict overseas. The report focuses on how the dynamics of the mobilization process for Army RC units can, or should, affect decisionmaking about force mix, as well as how policy and resourcing decisions can enhance or inhibit the speed and efficiency of mobilization. We created two models to simulate the effects of various changes to the mobilization and postmobilization training pipeline, to explore key drivers of training throughput, and to identify major bottlenecks that can inhibit fast and efficient mobilization of RC units. The analysis found that the sequence in which large and small units in the RC and active component (AC) units are put into the training pipeline affects the speed at which demand in the theater of operation can be met. Deploying smaller, quicker-to-train RC units in the earlier periods of a conflict and deferring the use of the larger, more complex-to-train RC formations to later stages of major operations appear to maximize the output of training facilities. The speed of deployment in a no-notice or short-notice mobilization may also be improved by maintaining a certain level of readiness in select RC units. For the Total Force structure, the findings suggest that the unit size and complexity should be considerations in allocation of force structure between the AC and the RC.

目录
  • Chapter One

    Introduction

  • Chapter Two

    Analysis Methodology

  • Chapter Three

    Modeling Throughput

  • Chapter Four

    Findings and Implications for RC Deployment Options

  • Appendix A

    Shipping Considerations for Limiting Deployment Speed

  • Appendix B

    Mixed-Integer Optimization Model for RC Mobilization

  • Appendix C

    Robustness of the AC Readiness Assumption

主题Military Logistics ; Military Mobilization ; Military Reserves ; Operational Readiness ; United States Army
URLhttps://www.rand.org/pubs/research_reports/RR1516.html
来源智库RAND Corporation (United States)
引用统计
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/523791
推荐引用方式
GB/T 7714
Michael E. Linick,Igor Mikolic-Torreira,Katharina Ley Best,et al. A Throughput-Based Analysis of Army Active Component/Reserve Component Mix for Major Contingency Surge Operations. 2019.
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