Simulation and Optimization Methodologies for Military Transportation Network Routing and Scheduling and for Military Medical Services

Abstract

The purpose of this present research was to develop a generic model and methodology for analyzing and optimizing large-scale air transportation networks including both their routing and their scheduling. We proposed to achieve this aim in part by studying several specific examples of current problems of this type, arising in the operations of the Air Mobility Command (AMC) at Scott AFB; and in part by developing further the various paradigms that we had employed successfully in the past in - similar contexts. These include the utilization of the classical mathematical methodologies of Linear and integer Programming,...., time dependent integer programming.... We continued to collaborate with scientists from Scott AFB; indeed, our main attempt was to improve various aspects of AMC's Mobility Analysis Support System (MASS). We intend for these aspects to serve as the particular paradigms for the general model and methodology to be developed. in addition, we undertook to study the efficiency of certain aspects of the military medical support services, through simulations, attempts at optimization, and the comparative - evaluation of various medical services provided by the military.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Aug 03, 2005
Accession Number
ADA437912

Entities

People

  • Ervin Y. Rodin

Organizations

  • University of Washington

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Aircrafts
  • Attachment
  • Bulk Cargo
  • Computer Programming
  • Computer Programs
  • Flow Network
  • Health Services
  • Hospitals
  • Integer Programming
  • Mathematical Models
  • Military Transportation
  • Operations Research
  • Optimization
  • Simulations
  • Systems Science

Readers

  • Aerospace logistics and air mobility.
  • Parallel and Distributed Computing.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms