Recovering from Airline Operational Problems with a Multi-Agent System: A Case Study

Authors:
António Mota;António J. Castro;Luís Paulo Reis
Affiliations:
LIACC-NIAD&R, FEUP, Department of Informatics Engineering, University of Porto, Porto, Portugal 4200-465;LIACC-NIAD&R, FEUP, Department of Informatics Engineering, University of Porto, Porto, Portugal 4200-465;LIACC-NIAD&R, FEUP, Department of Informatics Engineering, University of Porto, Porto, Portugal 4200-465
Venue:
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Year:
2009

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Abstract

The Airline Operations Control Centre (AOCC) tries to solve unexpected problems during the airline operation. Problems with aircraft, crewmembers and passengers are common and very hard to solve due to the several variables involved. This paper presents the implementation of a real-world multi-agent system for operations recovery in an airline company. The analysis and design of the system was done following a GAIA based methodology. We present the system specification as well as the implementation using JADE. A case study is included, where we present how the system solved a real problem.