Aerial Logistics Management for Carrier Onboard Delivery

Abstract

Carrier onboard delivery (COD) is the use of aircraft to transport people and cargo from a forward logistics site (FLS) to a carrier strike group (CSG). The goal of this thesis is to study how the real-time cargo tracking capability can reduce the delay of high-priority cargo while increasing that of low-priority cargo. To do so, we analyze data from COD operations between 2010 and 2015 to develop a simulation model, and use those data to infer model parameters. Our simulation results indicate that, with two C-2A aircraft currently used by the Navy, real-time cargo tracking can reduce the delay of high-priority cargo by more than 50%, while increasing that of low-priority cargo by about 25%. The Navy plans to replace C-2A with a variant of V-22 Osprey for COD operations in the near future, and is conducting cargo space studies to facilitate this transition. By testing a few different model parameters based on studies available for V-22, our simulation results indicate a similar observation of delay tradeoff between high-priority cargo and low-priority cargo, although the tradeoff is less pronounced, mainly because three V-22 will be stationed at the FLS.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2016
Accession Number
AD1029682

Entities

People

  • Samuel L. Chen

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircrafts
  • Airframes
  • Data Analysis
  • Logistics
  • Logistics Management
  • Logistics Support
  • Mathematical Models
  • Naval Air Stations
  • Operations Research
  • Probability
  • Random Variables
  • Simulations
  • Test And Evaluation
  • Tilt Rotor Aircraft
  • Transport Aircraft
  • United States

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Maritime Combat Support and Expeditionary Logistics.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Space