Integrating design attributes, knowledge and uncertainty in aerospace sector

Tariq Masood*, John Ahmet Erkoyuncu, Rajkumar Roy, Andrew Harrison

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

11 Citations (Scopus)

Abstract

The delivery of integrated product and service solutions is growing in the aerospace industry, driven by the potential of increasing profits. Such solutions require a life cycle view at the design phase in order to support the delivery of the equipment. The influence of uncertainty associated with design for services is increasingly a challenge due to information and knowledge constraints. There is a lack of frameworks that aim to define and quantify relationship between information and knowledge with uncertainty. Driven by this gap, the paper presents a framework to illustrate the link between uncertainty and knowledge within the design context for services in the aerospace industry. The paper combines industrial interaction and literature review to initially define the design attributes, the associated knowledge requirements and the uncertainties experienced. The framework is then applied in three cases through development of causal loop models (CLMs), which are validated by industrial and academic experts. The concepts and inter-linkages are developed with the intention of developing a software prototype. Future recommendations are also included.

Original languageEnglish
Pages (from-to)83-96
Number of pages14
JournalCIRP Journal of Manufacturing Science and Technology
Volume7
Issue number2
DOIs
Publication statusPublished - 28 Mar 2014

Funding

Rolls-Royce plc, EPSRC and Technology Strategy Board are acknowledged for providing funds to Service Knowledge Backbone Project (Knowledge Transfer Partnership Programme No. 7767). KT-Box Project partners are also acknowledged for providing partial funds. Authors are also grateful for kind support from the Cranfield IMRC for funding this research and the industrial partners for their support.

Keywords

  • design
  • digital feedback
  • knowledge
  • life cycle
  • uncertainty

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