Airline Network Revenue Management by Multistage Stochastic Programming

Andris Möller; Werner Römisch; Klaus Weber

edoc-Server der Humboldt-Universität zu Berlin

SPEPS Preprint

Author(s):	Andris Möller, Humboldt-Universität Werner Römisch, Humboldt-Universität Klaus Weber, Lufthansa Systems
Title:	Airline Network Revenue Management by Multistage Stochastic Programming
Date of Acceptance:	14.12.2006
Submission Date:	14.11.2006
Series Title:	Stochastic Programming E-Print Series (SPEPS)
Editors:	Julie L. Higle; Werner Römisch; Surrajeet Sen
Complete Preprint:	pdf (urn:nbn:de:kobv:11-10072315)
Metadata export: To export the complete metadata set as Endote or Bibtex format please click to the appropriate link.	Endnote Bibtex
print on demand: If you click on this icon you can order a print copy of this publication.
Diese Seite taggen: These icons lead to social bookmarking systems where you can create and manage personal bookmarks and discover bookmakrs of other users.

Abstract (eng):

A multistage stochastic programming approach to airline network revenue management is presented. The objective is to determine seat protection levels for all itineraries, fare classes, point of sales of the airline network and all data collection points of the booking horizon such that the expected revenue is maximized. While the passenger demand and cance- lation rate processes are the stochastic inputs of the model, the stochastic protection level process represents its output and allows to control the booking process. The stochastic passenger demand and cancelation rate processes are approximated by a ﬁnite number of tree structured scenarios. The scenario tree is generated from historical data using a stability-based recursive scenario reduction scheme. Numerical results for a small hub-and-spoke network are reported.

Access Statistics:

These data concerning access statistics for individual documents have been compiled using the webserver log files aggregated by AWSTATS. They refer to a monthly access count to the full text documents as well as to the entry page.

As for format versions of a document which consist of multiple files (such as HTML) the highest monthly access number to one of the files (chapters) is shown respectivly.

To see the detailled access numbers please move the mouse pointer over the single bars of the digaram.

May
11

Jun
11

Jul
11

Aug
11

Sep
11

Oct
11

Nov
11

Dec
11

Jan
12

Feb
12

Apr
12

May
12

Jun
12

Jul
12

Aug
12

Sep
12

Oct
12

Nov
12

Dec
12

Jan
13

Apr
13

Monat	May 11	Jun 11	Jul 11	Aug 11	Sep 11	Oct 11	Nov 11	Dec 11	Jan 12	Feb 12	Apr 12	May 12	Jun 12	Jul 12	Aug 12	Sep 12	Oct 12	Nov 12	Dec 12	Jan 13	Apr 13
Startseite	3	2	1		2	8	1	1	6	1	1	1	2	5	4	8	2			2	1
PDF	13	6	6	4	2	4	1	2	4	5	2	8	7	4	5	4	2	4	2	9	5

Gesamtzahl der Zugriffe seit May 2011:

Startseite – 51 (2.43 pro Monat)
PDF – 99 (4.71 pro Monat)

Generated at 25.05.2013, 15:43:50

edoc-Server der Humboldt-Universität zu Berlin • Impressum • edoc@cms.hu-berlin.de • Nutzungsbedingungen • Haftungsausschluss • Statistik