Sangam: A Confluence of Knowledge Streams

An aerospace requirements setting model to improve system design

Show simple item record

dc.creator Tomas Centrich, X.
dc.creator Shehab, Essam
dc.creator Sydor, Piotr
dc.creator Mackley, Tim
dc.creator John, Philip
dc.creator Harrison, A.
dc.date 2018-07-03T11:45:48Z
dc.date 2018-07-03T11:45:48Z
dc.date 2014-10-31
dc.date.accessioned 2022-05-25T16:36:49Z
dc.date.available 2022-05-25T16:36:49Z
dc.identifier X. Tomas Centrich, E. Shehab, P. Sydor, et al., (2014) An aerospace requirements setting model to improve system design. Procedia CIRP, Volume 22, 2014, pp. 287-292
dc.identifier 2212-8271
dc.identifier https://doi.org/10.1016/j.procir.2014.07.127
dc.identifier http://dspace.lib.cranfield.ac.uk/handle/1826/13307
dc.identifier.uri http://localhost:8080/xmlui/handle/CUHPOERS/182166
dc.description Decisions at an early conceptual stage of the product lifecycle, are made with relatively low confidence, but such decisions greatly influence the overall product and service development. It is, therefore, critical to define the risks involved in order to help designers to make informed decisions. This research project investigates the risk and uncertainties in delivering products to meet top-level business requirements. The aim is to improve the existing process of setting business requirements and the current design approaches to achieve an optimised system design. This project also examines different approaches in assessing the risk of product and service delivery. To achieve that, a dedicated software tool, based on Weibull distribution function reliability model, has been created. An example of Rolls-Royce Civil Large Engine (CLE) gas turbine design process is used in this research as the case study. An analysis of the gap between the current design achievements and the targeted business requirements of a new product is performed at whole engine, module and component level. Further comparison of the new product business requirements, the novelty in the design and the historical reliability data is used to define and assess the risk of new product delivery.
dc.language en
dc.publisher Elsevier
dc.rights Attribution-NonCommercial-NoDerivatives 3.0 International
dc.rights http://creativecommons.org/licenses/by-nc-nd/3.0/
dc.subject Risk
dc.subject System Design
dc.subject Weibull Distributions
dc.subject Business Requirements
dc.subject Decision – Making
dc.title An aerospace requirements setting model to improve system design
dc.type Conference paper


Files in this item

Files Size Format View
An_aerospace_re ... ove_system_design-2014.pdf 1.126Mb application/pdf View/Open

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse