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Computer-Aided Design and Applications Volume 13, 2016 - Issue 6
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Original Articles

Towards a knowledge based framework for numerical design of experiment optimization and management

Gaëtan BlondetSorbonne Universités, Université de Technologie de Compiègne, FranceCorrespondence[email protected]
,
Farouk BelkadiLUNAM Université, France
,
Julien Le DuigouSorbonne Universités, Université de Technologie de Compiègne, France
,
Alain BernardLUNAM Université, France
&
Nassim BoudaoudSorbonne Universités, Université de Technologie de Compiègne, France
Pages 872-884 | Published online: 12 Apr 2016

Citations (6)

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Read on this site (2)

Farouk Belkadi, Julien Le Duigou, Luca Dall’Olio, Gilles Besombes & Alain Bernard. (2019) Knowledge-based platform for traceability and simulation monitoring applied to design of experiments process: an open source architecture. Journal of Engineering Design 30:8-9, pages 311-335.
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Vincenzo Castorani, Alessio Vita, Marco Mandolini & Michele Germani. (2017) A CAD-based method for multi-objectives optimization of mechanical products. Computer-Aided Design and Applications 14:5, pages 563-571.
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Articles from other publishers (4)

Patricia Kügler, Fabian Dworschak, Benjamin Schleich & Sandro Wartzack. (2023) The evolution of knowledge-based engineering from a design research perspective: Literature review 2012–2021. Advanced Engineering Informatics 55, pages 101892.
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Arthur Larocca, Milton Borsato, Pablo Kubo & Carla Estorilio. (2021) Data management within new product development and collaborative engineering: a bibliometric and systemic analysis. VINE Journal of Information and Knowledge Management Systems 52:5, pages 701-717.
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Zoubida Afoutni, Julien Le-Duigou, Marie-Hélène Abel & Benoit Eynard. 2017. Product Lifecycle Management and the Industry of the Future. Product Lifecycle Management and the Industry of the Future 580 589 .
Farouk Belkadi, Luca Dall’Olio, Gilles Besombes & Alain Bernard. 2016. Product Lifecycle Management for Digital Transformation of Industries. Product Lifecycle Management for Digital Transformation of Industries 275 285 .

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