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Using Simulation, Data Mining, and Knowledge Discovery Techniques for Optimized Aircraft Engine Fleet Management

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4 Author(s)
Michael K. Painter ; Knowledge Based Systems, Inc., 1408 University Drive East, College Station, TX 77840, U.S.A. ; Madhav Erraguntla ; Gary L. Hogg ; Brian Beachkofski

This paper presents an innovative methodology that combines simulation, data mining, and knowledge-based techniques to determine the near- and long-term impacts of candidate aircraft engine maintenance decisions, particularly in terms of life-cycle cost (LCC) and operational availability. Simulation output is subjected to data mining analysis to understand system behavior in terms of subsystem interactions and the factors influencing life-cycle metrics. The insights obtained through this exercise are then encapsulated as policies and guidelines supporting better life-cycle asset ownership decision-making

Published in:

Proceedings of the 2006 Winter Simulation Conference

Date of Conference:

3-6 Dec. 2006