Session Detail Information
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Cluster :  Railroad Applications

Session Information  : Sunday Oct 24, 10:00 - 11:30

Title:  OR Applied to Railroads I
Chair: Krishna Jha,Research Director, Innovative Scheduling Systems, 2153 SE Hawthorne Rd, Suite 128, Gainesville FL 32641, United States,

Abstract Details

Title: Algorithms for Optimizing Rail Yard Operations
 Presenting Author: Guvenc Sahin,Department of Industrial and Systems Engineering, University of Florida, 303 Weil Hall, Gainesville FL 32611, United States,
Abstract: Yards are the nerve centers of any railroad where inbound trains bring blocks, blocks are reclassified and loaded onto the outbound trains. Efficient yard operations can improve the throughput of any yard. In this presentation, we describe new algorithmic approaches for optimizing yard operations that can be used for planning as well as real-time scheduling.
Title: Classification Yard Simulation
 Presenting Author: Edwin R "Chip" Kraft,Director, Operations Planning, Transporation Economics + Management Systems, Inc., 116 Record St, Frederick Md 21701, United States,
Abstract: SWITCH-IT is a new interactive tool for simulating railroad hump and flat-switching yards. It can evaluate the impact of infrastructure modifications, train crew size, freight car inspection and repair policies, and switch engine performance on the overall productivity and effectiveness of the car classification process. SWITCH-IT animates car and train movements, color-coding cars by destination so yard operating strategies can easily be understood and communicated.
Title: Data Envelopment Analysis of Railyard Efficiency
 Presenting Author: Michael Gorman,Professor, Univerisity of Dayton, School of Business, Dept of MIS/OM/DSC, 300 College Park, Dayton OH 45469, United States,
Abstract: Data Envelopment Analysis (DEA) is a well-tested and wide spread methodology for evaluating the relative efficiencies of similar production units. For examples, it has been used in education (schools and districts), banking (branches), and utilities (power plants) to name a few applications. We describe the methodology and explore the application of DEA to railyards using data from Burlington Northern Santa Fe and discuss the applicability of the method to railyards.