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Using simulation, data mining, and knowledge discovery techniques for optimized aircraft engine fleet management

Published: 03 December 2006 Publication History

Abstract

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.

References

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Beachkofski, B. 2006. "Pervasive Panel: Safety and Readiness," P-SAR Conference proceeding. Air Force Research Laboratory.
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Benjamin, P. C., M. Erraguntla, R. J. Mayer. 1995. Using Simulation for Robust System Design. Simulation 65(2), pp. 116--128.
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Benjamin, P., E. Erraguntla, S. Ramachandran, and D. Delen. 2002. Towards a Knowledge Discovery Framework. In Proceedings of the 2002 International Conference on Information and Knowledge Engineering (IKE 2002). Las Vegas, June 2002. CSREA Press. Pages 16--22.
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Cifone, A. 2006. Propulsion Safety & Affordable Readiness (P-SAR): A View from the Navy. P-SAR Conference Proceedings, Air Force Research Laboratory.
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CNAF. 2006. Aviation safety standdown orders. Commander Naval Air Forces. San Diego, CA. Available at <http://www.safetycenter.navy.mil/aviation/downloads/040104ZMar06.txt>.
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Erraguntla, M., P. C. Benjamin, and R. J. Mayer. 1994. An Architecture of a Knowledge-Based Simulation Engine. In Proceedings of the 2004 Winter Simulation Conference, pp. 673--680. Piscataway, New Jersey: Institute of Electrical and Electronics Engineers.
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Goldberg, D. E. 1989. Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley, Reading, MA.
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Nowlan, F. S., and H. F. Heap. 1978. Reliability-Centered Maintenance. United Airlines and Dolby Press. Sponsored and published by the Office of Assistant Secretary of Defense.
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Painter, M. K., M. Erraguntla, and G. Hogg. Reliability Centered Maintenance Costing (RCMC) Final Report, Air Force SBIR Contract No. FA8650--05-M-2568.
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  • (2021)Data farming output analysis using explainable AIProceedings of the Winter Simulation Conference10.5555/3522802.3522879(1-12)Online publication date: 13-Dec-2021
  • (2018)Life-cycle engine fleet simulation for spare part inventory management with advanced condition informationProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320792(2309-2320)Online publication date: 9-Dec-2018
  • (2017)GDSProceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3064911.3064917(185-196)Online publication date: 16-May-2017
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  1. Using simulation, data mining, and knowledge discovery techniques for optimized aircraft engine fleet management

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    Published In

    cover image ACM Conferences
    WSC '06: Proceedings of the 38th conference on Winter simulation
    December 2006
    2429 pages
    ISBN:1424405017

    Sponsors

    • IIE: Institute of Industrial Engineers
    • ASA: American Statistical Association
    • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
    • IEEE-CS\DATC: The IEEE Computer Society
    • SIGSIM: ACM Special Interest Group on Simulation and Modeling
    • NIST: National Institute of Standards and Technology
    • (SCS): The Society for Modeling and Simulation International
    • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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    Winter Simulation Conference

    Publication History

    Published: 03 December 2006

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    WSC06
    Sponsor:
    • IIE
    • ASA
    • IEICE ESS
    • IEEE-CS\DATC
    • SIGSIM
    • NIST
    • (SCS)
    • INFORMS-CS
    WSC06: Winter Simulation Conference 2006
    December 3 - 6, 2006
    California, Monterey

    Acceptance Rates

    WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
    Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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    Cited By

    View all
    • (2021)Data farming output analysis using explainable AIProceedings of the Winter Simulation Conference10.5555/3522802.3522879(1-12)Online publication date: 13-Dec-2021
    • (2018)Life-cycle engine fleet simulation for spare part inventory management with advanced condition informationProceedings of the 2018 Winter Simulation Conference10.5555/3320516.3320792(2309-2320)Online publication date: 9-Dec-2018
    • (2017)GDSProceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3064911.3064917(185-196)Online publication date: 16-May-2017
    • (2016)Knowledge Discovery for Pareto Based Multiobjective Optimization in SimulationProceedings of the 2016 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/2901378.2901380(35-46)Online publication date: 15-May-2016
    • (2011)Simulation data mining for supporting bridge designProceedings of the Ninth Australasian Data Mining Conference - Volume 12110.5555/2483628.2483647(163-170)Online publication date: 1-Dec-2011
    • (2009)Analyzing production modifications of a C-130 engine repair facility using simulationWinter Simulation Conference10.5555/1995456.1995700(1770-1777)Online publication date: 13-Dec-2009
    • (2008)Optimized maintenance design for manufacturing performance improvement using simulationProceedings of the 40th Conference on Winter Simulation10.5555/1516744.1517061(1811-1819)Online publication date: 7-Dec-2008

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