Monte Carlo Simulation of Supply and Demand for Payload Limited Routes

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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Official URL: https://doi.org/10.17159/2309-8988/2019/v37a1

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
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 May 2021 14:42
URI: http://nrl.northumbria.ac.uk/id/eprint/45540

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