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008 211009s2022 sz | s |||| 0|eng d
020 _a9783030881818
024 7 _a10.1007/978-3-030-88181-8
_2doi
040 _aTR-AnTOB
_beng
_erda
_cTR-AnTOB
041 _aeng
050 4 _aTA174
072 7 _aTBD
_2bicssc
072 7 _aTEC016020
_2bisacsh
072 7 _aTBD
_2thema
090 _aTA174EBK
100 1 _aLiu, Ang.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aData-Driven Engineering Design
_h[electronic resource] /
_cby Ang Liu, Yuchen Wang, Xingzhi Wang.
250 _a1st ed. 2022.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2022.
300 _a1 online resource
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aData-driven Engineering Design -- User-Generated Content Analysis for Customer Needs Elicitation -- Data-driven Conceptual Design -- Management of Constraints, Complexities, and Contradictions in the Data Era -- Blockchain-based Data-driven Smart Customisation -- Data-driven Design of Smart Product -- Data-driven Smart Product Service System -- Digital Twin for Data-driven Engineering Design -- Enabling Technologies of Data-driven Engineering Design.
520 _aThis 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.
650 0 _aEngineering design.
650 0 _aComputer-aided engineering.
650 0 _aEngineering—Data processing.
650 0 _aIndustrial engineering.
650 0 _aProduction engineering.
650 1 4 _aEngineering Design.
650 2 4 _aComputer-Aided Engineering (CAD, CAE) and Design.
650 2 4 _aData Engineering.
650 2 4 _aIndustrial and Production Engineering.
653 0 _aEngineering design -- Data processing
700 1 _aWang, Yuchen.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
700 1 _aWang, Xingzhi.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
856 4 0 _uhttps://doi.org/10.1007/978-3-030-88181-8
_3Springer eBooks
_zOnline access link to the resource
942 _2lcc
_cEBK