Poprawa, Stefan and Dala, Laurent (2021) Monte Carlo Simulation of Supply and Demand for Payload Limited Routes. R&D Journal of the South African Institution of Mechanical Engineering, 37. pp. 1-8. ISSN 0257-9669
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Abstract
Large commercial aircraft by design are typically not capable of transporting maximum fuel capacity and maximum payload simultaneously. Beyond the maximum payload range, fuel requirements reduce payload capability. Varying environmental conditions further impact payload capability noticeably. An airline’s commercial department requires prior knowledge of any payload restrictions, to restrict booking levels accordingly. Current forecasting approaches use monthly average performance, at, typically, the 85 probability level, to determine such payload capability. Such an approach can be overly restrictive in an industry where yields are marginal, resulting in sellable seats remaining empty. Monte Carlo simulation principles were applied to model the variance in environmental conditions, as well as in the expected payload demand.
Item Type: | Article |
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Uncontrolled Keywords: | Fuel, payload, forecasting, performance, environment |
Subjects: | H300 Mechanical Engineering H400 Aerospace Engineering |
Department: | Faculties > Engineering and Environment > Mechanical and Construction Engineering |
Depositing User: | Elena Carlaw |
Date Deposited: | 25 Feb 2021 12:23 |
Last Modified: | 31 Jul 2021 15:06 |
URI: | http://nrl.northumbria.ac.uk/id/eprint/45540 |
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