Artículos relacionados a Data-Driven Engineering Design
Sinopsis
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.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Dr. Ang Liu is an Associate Professor of Engineering Design at the School of Mechanical and Manufacturing Engineering, University of New South Wales, Australia. He received his M.S. and Ph.D. degrees from the University of Southern California, in 2008 and 2012, respectively. He is an Associate Member of the International Academy for Production Engineering (CIRP), Fellow of the PLuS Alliance, and Senior Fellow of the Higher Education Academy (SFHEA). He chaired multiple international design conferences such as the 13th International Conference on Axiomatic Design (ICAD2019). He serves in the editorial boards of multiple journals such as the Chinese Journal of Mechanical Engineering, Digital Twin, Scientific Reports, etc. He has published over 100 book chapters, journal articles, and conference papers. His research interests include innovative design thinking, design theory and methodology, smart manufacturing, digital twin, and engineering education.
Mr. Yuchen Wang is a Ph.D.candidate in Mechanical Engineering. He completed his undergraduate degree in Aerospace Engineering at the University of New South Wales (UNSW). His research lies at the intersections of design methodology, data science, and digital twin. As a head tutor, he had been teaching engineering design to a large cohort of college student at UNSW. He has published more than 10 journal articles, conference papers, and book chapters.
Mr. Xingzhi Wang is a Ph.D. candidate in Mechanical Engineering at the University of New South Wales (UNSW). He obtained his undergraduate degree and master’s degree at the Sichuan University and UNSW, respectively. His research focuses on leveraging machine learning to enhance design customization.
De la contraportada
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.
"Sobre este título" puede pertenecer a otra edición de este libro.
EUR 15,00
EUR 30,00 gastos de envío desde Alemania a Estados Unidos de America
Destinos, gastos y plazos de envíoComprar nuevo
Ver este artículo
EUR 55,30
EUR 3,40 gastos de envío en Estados Unidos de America
Destinos, gastos y plazos de envío
Resultados de la búsqueda para Data-Driven Engineering Design
Imagen de archivo
Data-Driven Engineering Design.
Publicado por
Cham, Springer International Publishing., 2022
ISBN 10: 3030881806
ISBN 13: 9783030881801
Antiguo o usado
Tapa dura
Original o primera edición
Librería: Universitätsbuchhandlung Herta Hold GmbH, Berlin, Alemania
Calificación del vendedor: 5 de 5 estrellas
1st ed. 2022. IX, 197 p. Hardcover. Einband bestoßen, daher Mängelexemplar gestempelt, sonst sehr guter Zustand. Imperfect copy due to slightly bumped cover, apart from this in very good condition. Stamped. Sprache: Englisch. Nº de ref. del artículo: 13121DB
Gastos de envío:
EUR 30,00
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen de archivo
Data-Driven Engineering Design
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. 1st ed. 2022 edition NO-PA16APR2015-KAP. Nº de ref. del artículo: 26390224760
Cantidad disponible: 1 disponibles
Imagen de archivo
Data-Driven Engineering Design
Librería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 389407911
Gastos de envío:
EUR 7,45
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen del vendedor
Data-driven Engineering Design
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 43690137-n
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Data-Driven Engineering Design
Librería: Best Price, Torrance, CA, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. SUPER FAST SHIPPING. Nº de ref. del artículo: 9783030881801
Cantidad disponible: 2 disponibles
Imagen de archivo
Data-Driven Engineering Design
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020032347
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Data-Driven Engineering Design
Librería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 18390224754
Gastos de envío:
EUR 9,95
De Alemania a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles
Imagen de archivo
Data-Driven Engineering Design (Hardcover)
Publicado por
Springer Nature Switzerland AG, Cham, 2021
ISBN 10: 3030881806
ISBN 13: 9783030881801
Nuevo
Tapa dura
Librería: Grand Eagle Retail, Mason, OH, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Hardcover. Condición: new. Hardcover. 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9783030881801
Cantidad disponible: 1 disponibles
Imagen del vendedor
Data-driven Engineering Design
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: As New. Unread book in perfect condition. Nº de ref. del artículo: 43690137
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data-driven Engineering Design
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: 43690137-n
Gastos de envío:
EUR 17,18
De Reino Unido a Estados Unidos de America
Destinos, gastos y plazos de envío
Cantidad disponible: 1 disponibles