@inproceedings{bb1bdbd461434dc6b3fef62d94d86f43,
title = "A greedy heuristic for airline crew rostering: Unique challenges in a large airline in China",
abstract = "We study a unique challenge in the crew rostering problem faced by a large airline in China, where fairness for crewmembers is the main concern. The fairness aspect of rosters produced by a commercial optimizer is not satisfactory. We discuss the challenges imposed by the fairness constraint and devise a greedy heuristic to directly address these challenges. The resulting algorithm is not only much faster but also produces a more balanced plan based on actual data from the airline in question. {\textcopyright} 2011 Springer-Verlag.",
keywords = "crew rostering, fairness constraint, greedy heuristic",
author = "Qiao Chen and Andrew Lim and Wenbin Zhu",
year = "2011",
doi = "10.1007/978-3-642-21827-9_24",
language = "English",
isbn = "9783642218262",
volume = "6704 LNAI",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "237--245",
booktitle = "Modern Approaches in Applied Intelligence",
address = "Germany",
edition = "PART 2",
note = "24th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2011 ; Conference date: 28-06-2011 Through 01-07-2011",
}