An aerospace requirements setting model to improve system design

X. Tomas Centrich, E. Shehab, P. Sydor, T. Mackley, P. John, A. Harrison

Research output: Contribution to conferencePaperpeer-review

4 Citations (Scopus)

Abstract

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.
Original languageEnglish
Number of pages6
DOIs
Publication statusPublished - 2014

Keywords

  • Business requirements
  • Decision-making
  • Risk
  • System design
  • Weibull distributions

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