Artificial Neural Networks to Optimize the Conceptual Design of Adaptable Product Development
Date published
2009-03-31
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Publisher
Cranfield University Press
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Type
Conference paper
ISSN
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Citation
J. Feldhusen, A. Nagarajah, Artificial Neural Networks to Optimize the Conceptual Design of Adaptable Product Development, Proceedings of the 19th CIRP Design Conference – Competitive Design, Cranfield University, 30-31 March 2009, pp51
Abstract
This paper describes an approach to apply Artificial Neural Network (ANN) to support the developer to optimize the conceptual design of Adaptable Product Development. The ANN learn from the previously mapping between the requirements and the product solutions. For a new development Process of an Adaptable Product the ANN analyse existing solution and sort them according to their probability of success. The advantages of this approach is on the one hand that ANN is able to identify the best suitable product solution for a new development order and on other hand the ANN automatically store the knowledge of the developer.
Description
Organised by: Cranfield University
Software Description
Software Language
Github
Keywords
Product Development Process, Engineering Design, Neural Network, Adaptable Products
DOI
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Copyright: Cranfield University 2009
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Funder/s
Mori Seiki – The Machine Tool Company