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https://www.um.edu.mt/library/oar/handle/123456789/105274
Title: | An axiomatic design methodology for manufacturing process selection based on multi-user requirements mapping |
Authors: | Abela, Edward Vella, Pierre Farrugia, Philip Cassar, Glenn Gauci, Maria Victoria Balzan, Emanuel |
Keywords: | Medical instruments and apparatus -- Design and construction Manufacturing processes -- Design Axioms -- Data processing Rehabilitation technology -- Evaluation User-centered system design |
Issue Date: | 2023 |
Publisher: | CAD Solutions |
Citation: | Abela, E., Vella, P., Farrugia, P., Cassar, G., Gauci, M.V., & Balzan, E. (2023). An axiomatic design methodology for manufacturing process selection based on multi-user requirements mapping. Journal of Computer Aided Design and Applications, Special Issue on User Experience Design for Bespoke Devices and Virtual Rehabilitation, 20(S6), 62-74. |
Abstract: | The fundamental principles of Axiomatic Design involve the systematic analysis, evaluation and transformation of customer needs into product functions with the scope of deriving a set of design parameters and process variables. This paper presents a novel methodology based on the application of axiomatic design theory, with the aim of supporting manufacturing process selection by considering the technological capabilities during manufacturing and the functional requirements of the artefact in hand. The proposed model integrates both functional and non-functional requirements by mapping various stakeholder needs. A case study for a release-buckle mechanism used in a rehabilitation device is presented. Results of an initial qualitative evaluation with medical device designers provide a degree of evidence that the proposed methodology is useful during process selection activities. |
URI: | https://www.um.edu.mt/library/oar/handle/123456789/105274 |
Appears in Collections: | Scholarly Works - FacEngIME |
Files in This Item:
File | Description | Size | Format | |
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An axiomatic design methodology for manufacturing process selection based on multi user requirements mapping 2023.pdf | 588.15 kB | Adobe PDF | View/Open |
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