Optimizing Ground Times for AMC Aircraft in Afghanistan

Abstract

This research provides insight into the cargo unloading and loading process and times at three airfields in Afghanistan. Using a linear regression model and its prediction capability, a more stabilized environment is produced. This uses the times from seven historical months of continuous operations in Afghanistan and uses this information for the prediction expressions. Using this model, no throughput is lowered and early and late times are lowered by an average of seven minutes per mission. Over the course of a month, this increases planning stability by 74.1 hours. This not only impacts the planning at the downrange location, but also impacts worldwide operations and cargo movement.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2011
Accession Number
ADA540235

Entities

People

  • Eric W. Bucheit Jr.

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Afghanistan Conflict
  • Air Force
  • Air Mobility Operations
  • Air Traffic
  • Air Transportation
  • Aircrafts
  • Airframes
  • Airlift Operations
  • Computer Programs
  • Data Science
  • Databases
  • Information Science
  • Integer Programming
  • Knowledge Management
  • Regression Analysis
  • Statistical Algorithms
  • Transport Aircraft

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Control Systems Engineering.