Function driven assessment of manufacturing risks in concept generation stages

Journal article (2023)

Authors

Arindam Brahma Chalmers University of Technology
Massimo Panarotto Chalmers University of Technology
Timoleon Kipouros University of Cambridge
Ola Isaksson Chalmers University of Technology
Petter Andersson Fokker/GKN Aerospace
P.J. Clarkson University of Cambridge
Affiliation
External organisation
Decision making Product architecture Risk management Early design phases Functional modelling
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Published Date

2023

Language

English

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Abstract

Decisions made in the concept generation phase have a significant effect on the product. While product- related risks typically can be considered in the early stages of design, risks such as supply chain and manufacturing methods are rarely easy to account for in early phases. This is because the currently available methods require mature data, which may not be available during concept generation. In this paper, we propose an approach to address this. First, the product and the non-product (manufacturing and/or supply chain) attributes are modelled using the enhanced function means (EF-M) modelling method. The EF-M method provides the opportunity to model alternative solutions-set for functions. Dependencies are then mapped within the product and the manufacturing models, and also in between them. An automatic combinatorial method of concept generation is employed where each generated instance is a design concept-manufacturing method pair. A risk propagation algorithm is then used to assess the risks of all the generated alternatives.