Current Methods for Optimizing Rail Marshalling Yard Operations.

Abstract

America's railroads handle 37.5% of all freight shipped within the continental United States. Because of the competition from other modes of transportation, the rail industry is eager to improve its operational effectiveness. Smooth and efficient rail yard operations can improve delivery date reliability, reduce the time it takes a rail car to travel from its origin to its destination, and decrease the amount of time it takes to sort incoming cars or assemble outbound trains. This paper will focus on three different models - Shi's Hump Sequencing System, Kraft's Mixed-Integer Optimization Model, and Ferguson's Switching Process Model - designed to help optimize freight rail marshalling or classification yards.

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Document Details

Document Type
Technical Report
Publication Date
Oct 13, 1994
Accession Number
ADA289371

Entities

People

  • Donald H. Timian

Organizations

  • Kansas State University

Tags

Communities of Interest

  • C4I
  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Assembly
  • Automobiles
  • Classification
  • Computer Programming
  • Dynamic Programming
  • Engineering
  • Integer Programming
  • Mathematical Models
  • Operations Research
  • Optimization
  • Rail Transportation
  • Railroads
  • Scheduling (Production)
  • Systems Engineering
  • Three Dimensional
  • Time Intervals
  • Transportation

Readers

  • Economics
  • Logistics and Supply Chain Management.
  • Operations Research