A multi-agent simulation system for prediction and scheduling of aero engine overhaul

Authors:
Armin Stranjak;Partha Sarathi Dutta;Mark Ebden;Alex Rogers;Perukrishnen Vytelingum
Affiliations:
Strategic Research Centre, Rolls-Royce, Derby, UK;Strategic Research Centre, Rolls-Royce, Derby, UK;University of Oxford, Oxford, UK;University of Southamtpon, Southampton, UK;University of Southamtpon, Southampton, UK
Venue:
Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems: industrial track
Year:
2008

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Abstract

The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine over-hauls to remain competitive in a complex business arena. An appropriate technology solution is required to achieve efficient schedules while satisfying multiple opposing constraints in a highly dynamic environment. In this paper, we describe Overhaul Prediction and Scheduling, an agent-based simulator developed to tackle this challenge. Using negotiation strategies, it deals with the multi-dimensional scheduling optimisation problem by trading off repair costs, capacity and capability of overhaul bases, among others, in light of in-service unforseen events. It supports effective strategic decision-making via business scenario modelling.