A Certifiable Approach towards Integrated Solution for Aircraft Readiness Management
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Abstract
Aircraft readiness management plays pivotal role for aviation authorities to enhance mission availability, reliability and reduce maintenance cost. This has been the focus area of the industry for many years now. This paper focuses on developing an approach for maximizing the aircraft readiness based on the Aircraft Health Assessment and a novel approach for Maintenance Planning. An
integrated solution using results from Prognostic Health Management (PHM) functions has been proposed. The concept is based on the condition based mission planning, operational risk assessment, maintenance planning and supply chain management. Also an insight is provided into the systematic approach to derive maintenance strategy leading towards certification. Although, the solution can be used for both commercial and military aviation, the focus in this paper is on implementation for military platforms. Details on implementation are discussed in brief and the
results of this implementation on some hypothetical scenarios are presented. The results outline the effectiveness of the approaches in improving the aircraft readiness.
How to Cite
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condition based maintenance (CBM), PHM, RCM, IVHM, Readiness Mangement
Andréasson, N. (2004). Optimization of opportunistic replacement activities in deterministic and stochastic multi-component systems. Licentiate thesis, Dept. of Mathematics, Chalmers Univ. of
Tech. and Univ. of Gothenburg, Göteborg, Sweden.
ATA MSG-3 (1993). Operator/Manufacturer Scheduled Maintenance Development. Maintenance Steering Group – 3, Task Force Air Transport Association of America.
Canto, S. P. (2008). Application of Benders’ decomposition to power plant preventive maintenance scheduling. European Journal of Operational Research, Vol. 184, pp. 759–777.
Damien, P., Galenko, A., Popova, E., & Hanson, T. (2007). Bayesian semi parametric analysis for a single item maintenance optimization. European Journal of Operational Research, Vol.182, pp. 794–805.
Doyle, E. K. (2004). On the application of stochastic models in nuclear power plant maintenance. European Journal of Operational Research, Vol. 154, pp. 673–690.
Fatih Camci, G. Scott Valentine & Kelly Navarra (2006). Methodologies for Integration of PHM Systems with Maintenance Data. IEEEAC paper #1191, Version 1.
Matthias Buderath & Adhikari P. P. (2012). Simulation Framework and Certification Guidance for Condition Monitoring and Prognostic Health Management. European Conference of Prognostics
and Health Management Society 2012.
Mike Sondalini. How to Change RCM2 to Get Really Useful Maintenance Strategy. Lifetime Reliability Solution.
Muchiri Anthony K. (2002). Maintenance Planning optimisation for the Boeing 737 Next Generation. DELFT Aerospace, Master Thesis.
NAVAIR 00–25–403 (2005). Guidelines for the Naval Aviation Reliability Centred Maintenance Process. Director of Commander, Naval Air System Command.
Philip Y Cho (2011). Optimal Scheduling of Fighter Aircraft Maintenance. Massachusetts Institute of Technology, June 2011.
Sarac, A., Batta, R., & Rump, C.M. (2006). A branch-andprice approach for operational aircraft maintenance routing. European Journal of Operational Research, Vol. 175, pp. 1850–1869.
SAE JA1011 (2009). Evaluation Criteria for Reliability- Centred Maintenance (RCM) Processes. issued in 1999, revised in 2009.
SAE JA1012 (2011). A Guide to the Reliability-Centred Maintenance (RCM) Standard. Issued in January 2002, revised in 2011.
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