CFL, a Luxembourg-based railway company, is fully committed to digital innovation. As a long-time RailOpt user, it was a natural step to implement Qnamic’s AI-based crew scheduling solution, which quickly led to complete and high-quality crew assignments. Creating a duty roster at CFL is a highly complex allocation process that must take into account not only working time regulations, but also qualifications such as vehicle knowledge, route knowledge, and, as an additional challenge at CFL, country-specific expertise. Previously, this was a time-consuming and error-prone task for planners. The “DSS Automated Crew Scheduling” module from RailOpt now handles this job with configurable AI algorithms, supporting planners by generating the most conflict-free crew assignments possible. What used to take several days each month is now prepared in just a few minutes. As a result, more efficient schedules are created in less time.
Serge Daems, Head of Service Activité Voyageurs Trains | AV, CFL, says:
“With automated crew scheduling, CFL is taking its workforce planning to a whole new level: Our teams create high-quality schedules with unbeatable speed—simply and efficiently. A true success story, and as CFL, we are extremely satisfied with this solution.“
