Kuckertz, Patrick, Ullrich, Oliver and Randerath, Hubert (2012). A simulation based approach on robust airline job pairing. Simulation Notes Europe, 22 (2). pp. 77-82. ARGESIM / ASIM Pub. TU Vienna/Austria..

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Abstract

Job paring, i.e. the composition of duty rosters from single activities, is an important part of the airline operations planning process. With labor costs being a major factor in an airline's cost structure, such personnel schedules have to ensure efficiency to be of practical relevance. At the same time they have to improve customer acceptance by offering best possible robustness, keeping inevitable local delays from spreading through the airline's flight network. In this paper we present a project currently in development which aims for generating robust personnel schedules for airline operations. The resulting tool set will allow us to effectively allocate flight personnel, using optimization and simulation techniques to generate and compare schedules with respect to their applicability and their demand for standby personnel, and to evaluate them prior to their implementation in the field. This paper begins with a short introduction of the airline planning process, focusing on the job pairing problem. We then describe our project, presenting our optimization and simulation approaches.

Item Type: Journal Article
Creators:
CreatorsEmailORCIDORCID Put Code
Kuckertz, PatrickUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ullrich, OliverUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Randerath, HubertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
URN: urn:nbn:de:hbz:38-550265
Journal or Publication Title: Simulation Notes Europe
Volume: 22
Number: 2
Page Range: pp. 77-82
Date: August 2012
Publisher: ARGESIM / ASIM Pub. TU Vienna/Austria.
Language: English
Faculty: Faculty of Mathematics and Natural Sciences
Divisions: Faculty of Mathematics and Natural Sciences > Department of Mathematics and Computer Science > Institute of Computer Science
Subjects: Data processing Computer science
Refereed: No
URI: http://kups.ub.uni-koeln.de/id/eprint/55026

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