Dynamic Modeling of Maintenance Prices in the Aerospace Industry

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Published Oct 2, 2017
George S. Eskander Ekladious Xiaojun Zhao Hala Mostafa Ramona Georgescu

Abstract

In the aerospace industry, pricing of the maintenance, repair and operations involve complex business rules that are being formulated by domain experts. Automation of such a process becomes a challenge, especially when pricing rules significantly differ based on contract conditions, operators, maintenance shops, etc. This paper presents a pricing prediction approach, where the predictors are dynamically built to fit the different pricing rules. To this end, a clustering mechanism efficiently splits the space to dissimilar clusters that are likely to follow different pricing rules. Then, candidate models are designed and ranked for the different clusters. At the exploitation phase, a testing data sample is assigned to a cluster, and processed using the best model for that cluster. Results show significant accuracy improvement compared to the static modeling approach.

How to Cite

Ekladious, G. S. E., Zhao, X., Mostafa, H., & Georgescu, R. (2017). Dynamic Modeling of Maintenance Prices in the Aerospace Industry. Annual Conference of the PHM Society, 9(1). https://doi.org/10.36001/phmconf.2017.v9i1.2411
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Keywords

PHM

References
Ackert., S. (2011). Engine maintenance concepts for financiers. In Aircraft monitor.
Ackert., S. (2012). Basics of aircraft maintenance reserve development and management. In Aircraft monitor.
Albert H. R. Ko, A. S. B., Robert Sabourin. (2008). From dynamic classifier selection to dynamic ensemble selection. Pattern Recognition, 41, 1718-1731.
Alceu Britto, R. S., & Oliveira, L. (2014). Dynamic selection of classifiers- a comprehensive review. Pattern Recognition, 47, 3665-3680.
Clifford J. Landreth, L. L. C., Richard H. Wilhelm. (2015). Performance-based logistics. In Naval postgraduate school.
EZIK., O. (2003). Calculation of the actual cost of engine maintenance. In Phd. thesis, air force institude of technology.
Hanumanthan., H. (2009). Severity estimation and shop visit prediction for civil aircraft engines. In Phd. thesis, cranfield university.
Kang M., P. P., Ogaji S., & C., K. (2008). An approach to maintenance cost estimation for aircraft engines. In Asme turbo expo 2008: Power for land, sea, and air.
Kennet., M. (1994). A structural model of aircraft engine maintenance. Journal of Applied Econometrics, 9, 351-369.
Kenneth E. Marks, R. W. H. (1981). Estimating aircraft depot maintenance costs. In Rand reports.
M., D., & R., S. (1979). A technique for engine maintenance cost forecasting. In 4th international symposium on air breathing engines.
Steven R. Erickson, R. J. M., & Summerour., R. (1997). Aviation maintenance contract management: A survey of defense and commercial practices. In Logistics management institute.
Thomas, M. U., & Rao, S. S. (1999). Warranty economic decision models: A summary and some suggested directions for future research. Operations Research, 47(6), 807-820.
Section
Technical Research Papers