Data-Driven Engineering Design / Ang Liu

Public ISBD Titre : Data-Driven Engineering Design Type de document : texte imprimé Auteurs : Ang Liu, Auteur ; Yuchen Wang, Auteur ; Xingzhi Wang, Auteur Editeur : Cham [Switzerland] : Springer International Publishing Année de publication : 2022 Importance : 197 p. Format : 24 cm ISBN/ISSN/EAN : 978-3-030-88183-2 Langues : Anglais (eng) Catégories : Livres Tags : Engineering design  Computer-aided engineering  Engineering—Data processing  Industrial engineering  Production engineering  Engineering Design  Computer-Aided Index. décimale : 620.004 Conception, essai, mesure, qualité, entretien, réparation Résumé : This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design. Data-Driven Engineering Design [texte imprimé] / Ang Liu, Auteur ; Yuchen Wang, Auteur ; Xingzhi Wang, Auteur . - Cham (Switzerland) : Springer International Publishing, 2022 . - 197 p. ; 24 cm. ISBN : 978-3-030-88183-2 Langues : Anglais (eng) Catégories : Livres Tags : Engineering design  Computer-aided engineering  Engineering—Data processing  Industrial engineering  Production engineering  Engineering Design  Computer-Aided Index. décimale : 620.004 Conception, essai, mesure, qualité, entretien, réparation Résumé : This book addresses the emerging paradigm of data-driven engineering design. In the big-data era, data is becoming a strategic asset for global manufacturers. This book shows how the power of data can be leveraged to drive the engineering design process, in particular, the early-stage design. Based on novel combinations of standing design methodology and the emerging data science, the book presents a collection of theoretically sound and practically viable design frameworks, which are intended to address a variety of critical design activities including conceptual design, complexity management, smart customization, smart product design, product service integration, and so forth. In addition, it includes a number of detailed case studies to showcase the application of data-driven engineering design. The book concludes with a set of promising research questions that warrant further investigation. Given its scope, the book will appeal to a broad readership, including postgraduate students, researchers, lecturers, and practitioners in the field of engineering design.

Exemplaires (1)

Code-barres	Cote	Support	Localisation	Section	Disponibilité
C1-040/23	620.004 LIU C1	Livre	2ème Cycle.(Salle 3ème Étage)	Ingénierie et activités connexes	Exclu du prêt

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