The University of Southampton
University of Southampton Institutional Repository

A Multi-Agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul

A Multi-Agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul
A Multi-Agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul
The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine overhauls to remain competitive in a complex business arena. An appropriate technology solution is required to achieve effcient 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.
81-88
Stranjak, Armin
5e19ac03-657f-4241-ad88-7107858ca674
Dutta, Partha S
20118200-3f6c-4fbf-94e0-89af4b47114b
Ebden, Mark
f46be90b-365e-4ea3-909a-4b92e4287f68
Vytelingum, Perukrishnen
51f06fc5-024c-450d-bff2-e19c943aa87e
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc
Stranjak, Armin
5e19ac03-657f-4241-ad88-7107858ca674
Dutta, Partha S
20118200-3f6c-4fbf-94e0-89af4b47114b
Ebden, Mark
f46be90b-365e-4ea3-909a-4b92e4287f68
Vytelingum, Perukrishnen
51f06fc5-024c-450d-bff2-e19c943aa87e
Rogers, Alex
f9130bc6-da32-474e-9fab-6c6cb8077fdc

Stranjak, Armin, Dutta, Partha S, Ebden, Mark, Vytelingum, Perukrishnen and Rogers, Alex (2008) A Multi-Agent Simulation System for Prediction and Scheduling of Aero Engine Overhaul. Seventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-08), Portugal. 12 - 16 May 2008. pp. 81-88 .

Record type: Conference or Workshop Item (Paper)

Abstract

The Aero Repair and Overhaul industry is facing an increasing challenge of prediction and scheduling of engine overhauls to remain competitive in a complex business arena. An appropriate technology solution is required to achieve effcient 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.

Text
Stranjak-aamas08-CameraReady.pdf - Other
Download (511kB)

More information

Published date: May 2008
Additional Information: Event Dates: 12-16 May 2008
Venue - Dates: Seventh International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-08), Portugal, 2008-05-12 - 2008-05-16
Organisations: Agents, Interactions & Complexity

Identifiers

Local EPrints ID: 265651
URI: https://eprints.soton.ac.uk/id/eprint/265651
PURE UUID: 5906df5d-87cc-4f5a-b6fd-668d70bff362

Catalogue record

Date deposited: 29 Apr 2008 14:42
Last modified: 16 Jul 2019 22:34

Export record

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of https://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×