Rostering Optimization (Weighted Fair-Share)

Course Description

Audience
This course addresses expert users with a deep understanding of Carmen Crew Rostering and Preferential Bidding System (for at least 6 months) who wants to fully understand and control the optimizer.

Prerequisites
Rave II

Duration
2 days

Course goals
The course gives you a deep understanding of Crew Rostering Optimizer. After completing the course you will be able to:

• model your planning problem correctly
• understand the solution methods
• monitor and tune the performance of the solution

Course topics

• System overview, components
  • generator
  • IP-solver
  • Rave
    
    
• Modelling a rostering problem
  • crew complement
  • assign value
  • crew position
  • cost function
  • cost of roster
  • empty roster
    
    
• Solution methods
  • Roster Initial method
  • Shift Improve method
    
    
• Performance
  • monitoring performance
  • generation time
  • optimization time
  • Python scripts
    
    
• Vertical constraints
  
  
• Fly below rank

All exercises are done using a generic flight data and rule set (Carmen Airlines).