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
Daily aircraft routing and scheduling
Management Science
Crew scheduling of light rail transit in Hong Kong: from modeling to implementation
Computers and Operations Research
Computer-Aided Transit Scheduling
Computer-Aided Transit Scheduling
Branch-And-Price: Column Generation for Solving Huge Integer Programs
Operations Research
A Column Generation Approach for Large-Scale Aircrew Rostering Problems
Operations Research
A flexible system for scheduling drivers
Journal of Scheduling
Selected Topics in Column Generation
Operations Research
Multicommodity network flow approach to the railroad crew-scheduling problem
IBM Journal of Research and Development - Business optimization
Railway crew pairing optimization
ATMOS'04 Proceedings of the 4th international Dagstuhl, ATMOS conference on Algorithmic approaches for transportation modeling, optimization, and systems
Hi-index | 0.00 |
Freight railway crew scheduling consists of generating crew duties for operating trains on a schedule at minimal cost while meeting all work regulations and operational requirements. Typically, a freight railway operation uses thousands of trains and requires thousands of crew members to operate them. Because of the problem's large size, even moderate percentage savings in crew costs translate into large monetary savings. However, freight railway operations are complex, and a crew-scheduling problem is difficult to solve. We describe the development and implementation of crew-scheduling software at DB Schenker, the largest European railway freight carrier. The software is based on a column-generation solution technique. Computational results demonstrate that high-quality solutions can be obtained using reasonable run times, even for large problem instances. We implemented all of DB Schenker's major requirements to ensure that the software is operationally viable. Management also uses this software as a decision support tool for strategic planning.