Cost-Estimating Model for Aircraft Maintenance

Fioriti, Marco; Vercella, Valeria; Viola, Nicole

doi:10.2514/1.c034664

Cited by 28 publications

(14 citation statements)

References 4 publications

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“…Therefore, an MRO to be competitive must have efficient, efficacious, and effective management. The cost imputed to an aircraft by an MRO is due to the following aspects: direct maintenance cost, including direct labor and materials needed for maintenance tasks, and maintenance burden, including airline overhead, acquisition and maintaining cost of equipment, tools, buildings facilities, and other indirect costs [17]. In addition, meaningful is the opportunity cost due to the number of days for which an aircraft is out of service since inhibited revenue is a virtual disbursement [18].…”

Section: Aircraft Maintenancementioning

confidence: 99%

“…The SRJ 2 needs teams of technicians with the triple (9, 5, 3), (13,7,4), and (16,10,6) to complete at least 50% (orange), 90% (yellow), and precisely 100% (green) of the sampled population, respectively, but the last team allocation is infeasible. The LRJ needs teams of technicians with the triple (17,7,4), (21, 10, 5), and (24, 12, 7) to complete at least 50% (orange), 90% (yellow), and precisely 100% (green) of the sampled population, respectively, but the last allocation is infeasible, i.e., 40 technicians allowed is exceeded. This feature extraction from the scenarios and the other data of the case study allows concluding that, due to the available 63 technicians, only at least 50% of the sampled scenarios are possible to be completed.…”

Section: Facilities Lrj (%) Srj (%)mentioning

confidence: 99%

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Planning of Aircraft Fleet Maintenance Teams

et al. 2021

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This paper addresses a support information system for the planning of aircraft maintenance teams, assisting maintenance managers in delivering an aircraft on time. The developed planning of aircraft maintenance teams is a computer application based on a mathematical programming problem written as a minimization one. The initial decision variables are positive integer variables specifying the allocation of available technicians by skills to maintenance teams. The objective function is a nonlinear function balancing the time spent and costs incurred with aircraft fleet maintenance. The data involve technicians’ skills, hours of work to perform maintenance tasks, costs related to facilities, and the aircraft downtime cost. The realism of this planning entails random possibilities associated with maintenance workload data, and the inference by a procedure of Monte Carlo simulation provides a proper set of workloads, instead of going through all the possibilities. The based formalization is a nonlinear integer programming problem, converted into an equivalent pure linear integer programming problem, using a transformation from initial positive integer variables to Boolean ones. A case study addresses the use of this support information system to plan a team for aircraft maintenance of three lines under the uncertainty of workloads, and a discussion of results shows the serviceableness of the proposed support information system.

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Section: Aircraft Maintenancementioning

confidence: 99%

Section: Facilities Lrj (%) Srj (%)mentioning

confidence: 99%

Planning of Aircraft Fleet Maintenance Teams

et al. 2021

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“…Maintenance cost can be estimated using the approach proposed in Ref. 16 In particular, the method consists on the updating of a costestimating model proposed in 1966 that provided equations for the maintenance cost assessment.…”

Section: Cers For Doc Assessmentmentioning

confidence: 99%

“…26 As far as maintenance cost is concerned, the inputs required by the methodology proposed in Ref. 16 are reported in Table 4.…”

Section: Conventional Regional Aircraftmentioning

confidence: 99%

Towards a methodology for new technologies assessment in aircraft operating cost

Vercella

Fioriti

Viola

2020

Proceedings of the Institution of Mechanical Engineers, Part G:

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The need for a greener and competitive aircraft is leading to the use of new technologies. A thorough assessment of these technologies is mandatory from the initial phases of aircraft design to understand their feasibility and to select the most promising one both in terms of performances and in terms of costs. This paper proposes a methodology to assess the operating cost of innovative technologies for regional aircraft. In particular, two NASA studies have been adopted to determine the impact onto costs of MEA and AEA technologies and advanced ECS solutions for two innovative regional aircraft concepts developed during the European Clean Sky 2 research. The proposed methodology is able to assess the effect of on-board systems electrification level in terms of fuel and maintenance costs savings. The methodology, which allows to evaluate the effect of specific technological improvements onto costs, is applied exploiting the results provided by a reliable cost model and gives the opportunity to quantify operating cost savings for different regional aircraft. Applying the modified cost model to the reference aircraft under study, savings ranging from 1.6 to 3.1% of direct operating cost are estimated for MEA and AEA technologies. Greater savings are estimated for the individual cost items involved. More specifically, a reduction of fuel cost ranging from 6 to 14.5% is envisaged as a consequence of the lower SFC associated to innovative ECS technologies.

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“…For example, the overhaul cost of a medium-sized APU is around $280,000 and typically takes 1–2 months for the turnover of parts, which puts great pressure on the operators. 1 In particular, with the extension of the time limit for extended-range twin-engine operations (ETOPS), the reliability of APU becomes critical. 2,3 A recent study shows that APUs can be an important source of air pollutant emissions at major airport in urban areas depending on the level of fuel usage.…”

Section: Introductionmentioning

confidence: 99%

Aircraft auxiliary power unit performance assessment and remaining useful life evaluation for predictive maintenance

Wang

Sun

Liu

et al. 2019

Proceedings of the Institution of Mechanical Engineers, Part A:

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Modern commercial aircraft are usually configured with aircraft condition monitoring system to collect the operating data of subsystems and components, which can be used for airborne system health monitoring and predictive maintenance. This paper presents a baseline model based aircraft auxiliary power unit performance assessment and remaining useful life prediction method using aircraft condition monitoring system reports data, which can facilitate a cost-effective management of auxiliary power units of aircraft fleet. Firstly, the performance baseline model for auxiliary power unit is established using random forest method. Then a health index characterizing the performance degradation of in-service auxiliary power units is obtained based on the performance baseline model. Finally, the performance degradation trend is predicted using Bayesian dynamic linear model. To improve the prediction accuracy, four performance baseline models are established from the data of auxiliary power units under different operating conditions, among which an optimal model is determined. This data-driven baseline model can be used to quantify the performance degradation of auxiliary power units in service, and can be further used to evaluate the remaining useful life of auxiliary power unit using a Bayesian dynamic model. The developed approach is applied on a real data set from 22 auxiliary power units of a commercial aircraft fleet. The results show that the computed health index can effectively characterize the auxiliary power units performance degradation and the remaining useful life relative prediction errors are less than 4% when auxiliary power unit enters the rapid degradation stage. This would allow operators to accurately assess the performance degradation for the auxiliary power units and further proactively plan future maintenance events based on remaining useful life prediction.

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Cost-Estimating Model for Aircraft Maintenance

Cited by 28 publications

References 4 publications

Planning of Aircraft Fleet Maintenance Teams

Planning of Aircraft Fleet Maintenance Teams

Towards a methodology for new technologies assessment in aircraft operating cost

Aircraft auxiliary power unit performance assessment and remaining useful life evaluation for predictive maintenance

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