Strategic crew planning tool in railroad: a discrete event simulation

Authors:
Kiran Chahar;Clark Cheng;Yudi Pranoto
Affiliations:
Norfolk Southern Corporation, Atlanta, GA;Norfolk Southern Corporation, Atlanta, GA;Norfolk Southern Corporation, Atlanta, GA
Venue:
Proceedings of the Winter Simulation Conference
Year:
2011

Citing 6
Cited 0

Algorithms for railway crew management

Mathematical Programming: Series A and B - Special issue: papers from ismp97, the 16th international symposium on mathematical programming, Lausanne EPFL
Commercial simulation over the Web

Proceedings of the 30th conference on Winter simulation
Simulation Modeling and Analysis

Simulation Modeling and Analysis
Simulation modeling at union pacific railroad

Proceedings of the 33nd conference on Winter simulation
Simulation planning and rostering: a discrete event simulation for the crew assignment process in north american freight railroads

Proceedings of the 35th conference on Winter simulation: driving innovation
Multicommodity network flow approach to the railroad crew-scheduling problem

IBM Journal of Research and Development - Business optimization

Quantified Score

Hi-index	0.00

Visualization

Abstract

Norfolk Southern (NS) has developed a strategic crew planning tool to evaluate the impacts of crew rules changes and train service changes on crew utilization and train on-time performance. This tool has three major components, a discrete event simulator, a crew deadheading engine, and a crew pool size analyzer. A Flash based animation and reporting user interface helps users identify bottlenecks in specific areas of the rail network. This tool is integrated into a suite of planning tools used in NS. The impact of crew mark off rates on train performance is discussed in a case study.