Aero engine fleet management concerns the engine life-cycle maintenance, repair, and overhaul process decision making as well as the associated fleet spare inventory management, which is strongly influenced by the environmental and operating conditions they are subjected to in service. In this paper a comprehensive life-cycle simulation framework is proposed for engine fleet management decision making support, covering the entire process from individual engine shop visit maintenance modeling to fleet level engine spare inventory planning. The result of case study shows that the proposed simulation framework is useful not only for lifetime reliability and maintenance cost prediction and fleet engine spares planning by properly accounting for the varying environmental and operating conditions, but also provides an effective decision support tool for engine fleet maintenance management.
KrausMFeuerriegelS.Forecasting remaining useful life: interpretable deep learning approach via variational Bayesian inferences. Decis Support Syst2019; 125: 113100.
2.
MayordomoAFGhobbarAGhijsS, et al. Engine management: A decision support tool for strategic engine maintenance planning. In: 10th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, Fort Worth, TX, 13–15 September 2010, AIAA 2010-9146. Reston, VA: American Institute of Aeronautics and Astronautics (AIAA).
3.
MurielAProkleMTomastikR. Life-cycle engine fleet simulation for spare part inventory management with advanced condition information. In: 2018 Winter Simulation Conference (WSC), Gothenburg, Sweden, 9–12 December 2018. New York: IEEE.
4.
SeemannRLanghansSSchillingT, et al. Modeling the life cycle cost of jet engine maintenance. Hamburg: Technische Universität Hamburg-Harburg, 2010.
5.
MullerMStaudacherSFriedlWH, et al. Probabilistic engine maintenance modeling for varying environmental and operating conditions. In: ASME Turbo Expo 2010: Power for Land, Sea, and Air, Glasgow, UK, 14–18June2010, pp.629–638. New York: ASME.
6.
WenskyTWinklerLFriedrichsJ. Environmental influences on engine performance degradation. In: ASME Turbo Expo 2010: Power for Land, Sea, and Air, Glasgow, UK, 14–18June2010, pp.249–254. New York: ASME.
7.
BurkettMA. DMTrade: a Rolls-Royce tool to model the impact of design changes and maintenance strategies on lifetime reliability and maintenance cost. In: ASME Turbo Expo 2006: Power for Land, Sea, and Air, Barcelona, Spain, 8–11May2006, pp.11–23. New York: ASME.
8.
StranjakADuttaPSEbdenM, et al. A multi-agent simulation system for prediction and scheduling of aero engine overhaul. In: Proceedings of 7th international conference on autonomous agents and multiagent systems (AAMAS 2008)- Industry and applications track, 12–16 May 2008, Estoril, Portugal, pp.81–88. International Foundation for Autonomous Agents and Multiagent Systems.
9.
RazaviBEinafsharASassaniF. Decision analysis model for optimal aircraft engine maintenance policies using discrete event simulation. Cham: Integrated Systems: Innovations and Applications, 2015.
10.
JohnsonAPFernandesVM.Simulation of the number of spare engines required for an aircraft fleet. J Oper Res Soc1978; 29: 33–38.
11.
ScaliseARamirez HernandezJZhangM, et al. A simulation-based method for inventory ownership planning of aircraft spare engines and parts. Int J Simul Process Model2016; 11(6): 477–491.
12.
PainterMKErraguntlaMHoggGL, et al. Using simulation, data mining, and knowledge discovery techniques for optimized aircraft engine fleet management. In: Proceedings of the 38th winter simulation conference, Piscataway, NJ, Monterey, CA, USA, 3–6 December, 2006, pp.1253–1260. New York: IEEE.
13.
WibowoATjahjonoBTomiyamaT.Towards an integrated decision making framework for aero engine MRO contract management in the productisation context. Procedia CIRP2016; 47:24–29.
14.
JustinCMavrisD.Option-based approach to value engine maintenance cost guarantees and engine maintenance contracts. In: 11th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference, including the AIAA Balloon Systems Conference and 19th AIAA Lighter-Than, Virginia Beach, VA, 20–22 September 2011. p. 6839.
15.
WibowoATjahjonoBTomiyamaT.Designing contracts for aero-engine MRO service providers: models and simulation. Procedia CIRP2017; 59:246–251.
16.
BurkettMA. Expanding the reliability process to more accurately assess business risks and opportunities associated with long-term maintenance contracts. In: ASME Turbo Expo 2006: Power for Land, Sea, and Air, Barcelona, Spain, 8–11May2006, pp.1–10. New York: ASME.
17.
WangYLiuYChenJ, et al. Reliability and condition-based maintenance modeling for systems operating under performance-based contracting. Comput Ind Eng2020; 142: 106344.
18.
XiangYZhuZCoitDW, et al. Condition-based maintenance under performance-based contracting. Comput Ind Eng2017; 111: 391–402.
19.
AlrabghiATiwariA.State of the art in simulation-based optimisation for maintenance systems. Comput Ind Eng2015; 82: 167–182.
20.
GhenaietAElderRLSCTAN, Particles trajectories through an axial fan and performance degradation due to sand ingestion. In: ASME Turbo Expo 2001: Power for Land, Sea, and Air, New Orleans, LA, 4–7June2001, No: GT2006-90022. New York: ASME.
21.
CardwellNDTholeKABurdSW. Investigation of sand blocking within impingement and film-cooling holes. In: ASME Turbo Expo 2008: Power for Land, Sea, and Air, Berlin, Germany, 9–13June2008, No: GT2008-51351. New York: ASME.
22.
AckertS. Engine maintenance concepts for financiers. Aircr Monit2011; 2: 1–43.
23.
CrockerJKumarUD.Age-related maintenance versus reliability centred maintenance: a case study on aero-engines. Reliab Eng Syst Saf2000; 67(2): 113–118.
