Using quality costs in a multi-agent system for an airline operations control

ICEIS 2009 - 11th International Conference on Enterprise Information Systems, Proceedings

Volumn AIDSS, Issue , 2009, Pages 19-24

  Castro, Antonio J M ^a   Oliveira, Eugenio ^a  

^a UNIVERSITY OF PORTO   (Portugal)

Author keywords

Airline operations control; Multi agent system; Operational costs; Operations recovery; Quality costs

Indexed keywords

INFORMATION SYSTEMS; INFORMATION USE; QUALITY CONTROL; RECOVERY; SOFTWARE AGENTS;

AIRLINE OPERATIONS; CREW RECOVERIES; CREWMEMBERS; DISTRIBUTED MULTIAGENT SYSTEMS; FINAL DECISION; PASSENGER SATISFACTION; QUALITY COSTS; SPECIALIZED SOFTWARE;

MULTI AGENT SYSTEMS;

EID: 74549223126     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.5220/0001849800190024     Document Type: Conference Paper

References (11)

1. Abdelgahny, A., Ekollu, G., Narisimhan, R., and Abdelgahny, K., 2004. A Proactive Crew Recovery Decision Support Tool for Commercial Airlines during Irregular Operations, Annals of Operations Research, 127,309-331.
2. Barnhart, C, Belobaba, P., and Odoni, A., 2003. Applications of Operations Research in the Air Transport Industry, Transportation Science, 37,368-391.
3. Bratu, S., and Barnhart, C., 2006. Flight Operations Recovery: New Approaches Considering Passenger Recovery, Journal of Scheduling, 9,3, 279-298.
4. Castro, A. and Oliveira, E. (2008) 'The rationale behind the development of an airline operations control centre using Gaia-based methodology', Int. J. Agent-Oriented Software Engineering, Vol. 2, No. 3, pp.350-377.
5. Castro, A.J.M., and Oliveira, E. 2007. Using Specialized Agents in a Distributed MAS to Solve Airline Operations Problems: a Case Study. Proceedings of IAT 2007 (Intelligent Agent Technology Conference), pp. 473-476, Silicon Valley, California, USA 2-5 November 2007, IEEE Computer Society, ISBN: 0-7695-3027-3.
6. Clausen, J., Larsen, A., and Larsen, J.,2005. Disruption Management in the Airline Industry - Concepts, Models and Methods. Technical Report 2005-01, Informatics and Mathematical Modeling, Technical University of Denmark, DTU.
7. Kohl, N., Larsen, A., Larsen, J., Ross, A., and Tiourline, S., 2004. Airline Disruption Management - Perspectives, Experiences and Outlook. Technical Report CRTR-0407, Carmen Research.
8. Kohl, N., and Karish, S., 2004. Airline Crew Rostering: Problem Types, Modeling and Optimization, Annals of Operations Research, 127, 223-257.
9. Lettovsky, L., 1997. Airline Operations Recovery: An Optimization Approach, Ph.D. Thesis, Georgia Institute of Technology, Atlanta, USA.
10. Rosenberger, J., Johnson, E., and Nemhauser, G., 2001. Rerouting aircraft for airline recovery, Technical Report TLI-LEC 01-04, Georgia Institute of Technology.
11. Rosenberger, J., Schaefer, A., Goldsmans, D., Johnson, E., Kleywegt, A., and Nemhauser, G., 2002. A Stochastic Model of Airline Operations, Transportation Science, 36,4, 357-377.