Abstract
Delays or cancellations of flights are mostly caused by avoidable, maintenance-related downtime of aircrafts. For a more efficient supply of spare parts for aircrafts of an airline, we examine options for improving the underlying logistics network integrated within an existing segment of the aviation industry. The objective is to guarantee a high supply of spare parts. Moreover, the paper presents effects of the choice of different maintenance strategies on total maintenance costs. By applying a condition-based maintenance strategy, unscheduled component failures can be reduced and an increase in availability and reliability is possible. A validation of the developed model is provided by means of a simulation study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ayeni P, Baines T, Lightfoot H, Ball P (2011) State-of-the-art of ’lean’ in the aviation maintenance, repair, and overhaul industry. Proc Inst Mech Eng Part B J Eng Manufact 225:2108–2123
Barahona F, Jensen D (1998) Plant location with minimum inventory. Math Program 83:101–111
Candas MF, Kutanoglu E (2007) Benefits of considering inventory in service parts logistics network design problems with time-based service constraints. IIE Trans 39(2):159–176
Daskin M (1995) Network and discrete location: models, algorithms, and applications. Wiley-Interscience, New York
Feeney, G, Sherbrooke C (1966) The (s-1, s) inventory policy under compound Poisson demand. Manage Sci 12 (5):391–411
Fritzsche R (2012) Cost adjustment for single item pooling models using a dynamic failure rate: a calculation for the aircraft industry. Transp Res Part E Logistics Transp Rev 48(6):1065–1079
Fromm H (2009) Bewertung innovativer Instandhaltungsszenarien in den frühen Phasen des Innovationsprozesses in der Luftfahrt. Shaker
Jeet V, Kutanoglu E, Partani A (2009) Logistics network design with inventory stocking for low demand parts: Modeling and optimization. IIE Trans 41(5):389–407
Kaviani M (2009) Location-inventory problem. Physica
Kumar U (1999) New trends in aircraft reliability and maintenance measures. J Qual Maintenance Eng 5(4):287–295
Kutanoglu E (2008) Insights into inventory sharing in service parts logistics systems with time-based service levels. Comput Ind Eng 54(3):341–358
Lee S, Ma Y, Thimm G, Verstraeten J (2008) Product lifecycle management in aviation maintenance, repair and overhaul. Comput Ind 59(2–3):296–303
Moghaddam KS (2013) Multi-objective preventive maintenance and replacement scheduling in a manufacturing system using goal programming. Int J Prod Econ 146(2):704–716
Muckstadt J (2005) Analysis and algorithms for service parts supply chains. Springer, New York
Nozick L, Turnquist M (2001) Inventory, transportation, service quality and the location of distribution centers. Eur J Oper Res 129(2):362–371
Papakostas N, Papachatzakis P, Xanthakis V, Mourtzis D (2009) An approach to operational aircraft maintenance planning. Eur J Oper Res 199(3):781–792
Prajapati A, Bechtel J, Ganesan S (2012) Condition based maintenance: a survey. J Qual Maintenance Eng 18 (4):384–400
Relf MM (1999) Maintenance-free operating periods—the designer’s challenge. Qual Reliab Eng Int 15(2):111–116
Sherbrooke CC (2004) Optimal inventory modeling of systems: multi-echelon techniques. Springer, New York
Snyder L, Daskin M, Teo C (2007) The stochastic location model with risk pooling. Eur J Oper Res 179(3):1221–1238
Sourirajan K, Ozsen L, Uzsoy R (2009) A genetic algorithm for a single product network design model with lead time and safety stock considerations. Eur J Oper Res 197(2):599–608
Stone G, Van Heeswijk R (1977) Parameter estimation for the Weibull distribution, Electrical Insulation. IEEE Trans Electr Insul 12(4):253–261
Tobon-Mejia D, Medjaher K, Zerhouni N, Tripot G (2012) A data-driven failure prognostics method based on mixture of Gaussians hidden Markov models. IEEE Trans Reliab 61(2):491–503
Wang L, Chu J, Wu J (2007) Selection of optimum maintenance strategies based on a fuzzy analytic hierarchy process. Int J Prod Econ 107(1):151–163
Wheeler K, Kurtoglu T, Poll S (2010) A survey of health management user objectives in aerospace systems related to diagnostic and prognostic metrics. Int J Prognostics Health Manag 1–19
Wong H, Cattrysse D, Van Oudheusden D (2005) Stocking decisions for repairable spare parts pooling in a multi-hub system. Int J Prod Econ 93:309–317
Yardley R, Raman R, Riposo J, Chiesa J, Schank JF (2006) Impacts of the fleet response plan on surface combatant maintenance. vol 358, RAND Corporation, USA
Zipkin P (2000) Foundations of inventory management. McGraw-Hill, New York
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this paper
Cite this paper
Lasch, R., Fritzsche, R. (2016). Condition-Based Maintenance Planning Within the Aviation Industry. In: Mattfeld, D., Spengler, T., Brinkmann, J., Grunewald, M. (eds) Logistics Management. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-20863-3_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-20863-3_1
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-20862-6
Online ISBN: 978-3-319-20863-3
eBook Packages: EngineeringEngineering (R0)