A Stochastic Model for Joint Reception, Staging, Onward Movement, and Integration (JRSOI)

Abstract

A stochastic model for the performance evaluation of a key phase in the deployment process, namely Joint Reception, Staging, Onward Movement, and Integration (JRSOI) is presented. The process is modeled as an open, multi-class tandem queueing network wherein personnel and various classes of cargo are modeled as the flow entities and the stages of the process constitute individual queueing stations. Single and multiple-class models at both low and high resolutions are presented. No analytical stochastic model of this process currently exists in the literature or in practice. The model provides a quick look at key aggregate performance measures such as system throughput and closure, and can be used to expediently identify problems occurring during JRSOI and the impact they have on the process. This information can substantially aid decision makers in regulating process flow. The queueing network model developed here can easily be expanded and adapted to any potential area of conflict. Numerical comparisons with Monte-Carlo simulation demonstrate that the model provides a viable, novel approach to the problem. (30 tables, 2 figures, 29 refs.)

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2003
Accession Number
ADA412955

Entities

People

  • Nathan P. Sherman

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Ground and Sea Platforms
  • Human Systems
  • Space

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Combatant Commanders
  • Computer Simulations
  • Control Systems
  • Department Of Defense
  • High Resolution
  • Mathematical Models
  • Military Operations
  • Military Science
  • Numerical Analysis
  • Operations Research
  • Probability Distributions
  • Queueing Theory
  • Simulations
  • United States Transportation Command
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Joint Military Operations and Doctrine.
  • Mathematical Modeling and Probability Theory.