The Tail Assignment Problem
Doktorsavhandling, 2005

The Aircraft Assignment problem is the problem of assigning flights to aircraft in such a way that some operational constraints are satisfied, and possibly that some objective function is optimized. We propose an approach to aircraft assignment which captures all operational constraints, including minimum connection times, airport curfews, maintenance, and preassigned activities. It also allows multiple fleet optimization, and can model various types of objective functions, which sets it apart from most other aircraft assignment approaches. The name we have chosen for our approach is the Tail Assignment problem. The tail assignment problem is general in the sense that it can model the entire aircraft planning process, from fleet assignment to the day of operation. We develop solution methods based on mathematical programming and constraint programming, and also show how the methods can be combined. The resulting hybrid solution method is general in the sense that it can be used both to quickly find initial solutions and to find close to optimal solutions, if longer running times are allowed. We present a mathematical programming approach based on column generation, conduct thorough computational experiments to show the impact of various implementation choices on running time and convergence, and present heuristics to find integer solutions. We show how constraint programming can be used stand-alone to quickly produce solutions to the tail assignment problem, and to substantially improve the computational performance of the column generation algorithm. Preprocessing algorithms based on constraint programming are presented that can reduce the size of the problem substantially more than standard balance-based preprocessing, resulting in major speedups and increased solution quality. Our complete solution approach combines column generation, constraint programming and local search. Finally, as proof of concept, we present modeling examples and computational results for a selection of real-world tail assignment instances, demonstrating how our model and solution methods can be used to increase operational robustness, enforce equal aircraft utilization, and decrease aircraft leasing costs. Our tail assignment system is currently in use at two medium-sized airlines.

hybrid optimization

fleet planning

aircraft routing

column generation

airline optimization

tail assignment

constraint programming

10.15 EE-salen, EDIT-byggnaden, Rännvägen 6B, Göteborg
Opponent: Professor Cynthia Barnhart, Department of Civil & Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA

Författare

Mattias Grönkvist

Chalmers, Data- och informationsteknik, Datavetenskap

Ämneskategorier

Data- och informationsvetenskap

ISBN

91-7291-645-1

Technical report D - Department of Computer Science and Engineering, Chalmers University of Technology and Göteborg University: 8

Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 2327

10.15 EE-salen, EDIT-byggnaden, Rännvägen 6B, Göteborg

Opponent: Professor Cynthia Barnhart, Department of Civil & Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA