Abstract
| Original language | English |
|---|---|
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2014 |
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Keywords
- Business requirements
- Decision-making
- Risk
- System design
- Weibull distributions
Cite this
An aerospace requirements setting model to improve system design. / Centrich, X. Tomas; Shehab, E.; Sydor, P.; Mackley, T.; John, P.; Harrison, A.
2014.Research output: Contribution to conference › Paper
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TY - CONF
T1 - An aerospace requirements setting model to improve system design
AU - Centrich, X. Tomas
AU - Shehab, E.
AU - Sydor, P.
AU - Mackley, T.
AU - John, P.
AU - Harrison, A.
PY - 2014
Y1 - 2014
N2 - 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.
AB - 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.
KW - Business requirements
KW - Decision-making
KW - Risk
KW - System design
KW - Weibull distributions
UR - http://www.mendeley.com/research/aerospace-requirements-setting-model-improve-system-design
UR - http://www.mendeley.com/research/aerospace-requirements-setting-model-improve-system-design
U2 - 10.1016/j.procir.2014.07.127
DO - 10.1016/j.procir.2014.07.127
M3 - Paper
ER -