Accession Number : ADA289371

Title :   Current Methods for Optimizing Rail Marshalling Yard Operations.

Descriptive Note : Final rept. 1981-1993,

Corporate Author : KANSAS STATE UNIV MANHATTAN DEPT OF INDUSTRIAL ENGINEERING

Personal Author(s) : Timian, Donald H.

PDF Url : ADA289371

Report Date : 13 OCT 1994

Pagination or Media Count : 50

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.

Descriptors :   *RAIL TRANSPORTATION, COMPUTERIZED SIMULATION, CARGO VEHICLES, RAILROADS, INDUSTRIES, COMPETITION, MODELS, RAILS, OPERATIONAL EFFECTIVENESS, COSTS, RELIABILITY, SCHEDULING, CARGO, SWITCHING, TIME STUDIES.

Subject Categories : Surface Transportation and Equipment

Distribution Statement : APPROVED FOR PUBLIC RELEASE