FUNCTION DRIVEN ASSESSMENT OF MANUFACTURING RISKS IN CONCEPT GENERATION STAGES
Paper in proceeding, 2023

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.

Early design phases

Functional modelling

Risk management

Decision making

Product architecture

Author

Arindam Brahma

Chalmers, Industrial and Materials Science, Product Development

Massimo Panarotto

Chalmers, Industrial and Materials Science, Product Development

Timoleon Kipourus

University of Cambridge

Ola Isaksson

Chalmers, Industrial and Materials Science, Product Development

Petter Andersson

GKN Aerospace Sweden

P John Clarkson

University of Cambridge

Proceedings of the Design Society

2732527X (eISSN)

Vol. 3 1995-2004

24th International Conference on Engineering Design, ICED 2023
Bordeaux, France,

Development of Interdisciplinary Assessment for manufacturing and deSign (DIAS)

European Commission (EC) (EC/H2020/887174), 2020-06-01 -- 2023-02-28.

Subject Categories

Production Engineering, Human Work Science and Ergonomics

Areas of Advance

Production

DOI

10.1017/pds.2023.200

More information

Latest update

1/3/2024 9