IF articles

Short-term rolling stock rostering and maintenance scheduling optimization


This paper describes an optimization

framework for rolling stock ros tering and maintenance

scheduling at a busy workshop. A new mixed- integer linearprogramming

formulation is provided for the maintenance

scheduling problem faced by Trenitalia (train operating

company) man agers, with input data taken from the rolling

stock rostering plan. The computational results are carried

out on a Trenitalia’s maintenance site located in Naples.

The solutions computed via a commercial MILP solver are

compared with practical solutions. A relevant cost reduction

is pos sible by using the proposed framework, involving

both rostering and maintenance scheduling. We also show

how the proposed method can be used as an effective tool

to absorb real-time timetable perturbations while respecting

the agreed level of service.

  • Gennaio
Num. 1
Pag. 39