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005 | 20231116084903.0 | ||
007 | cr nn 008mamaa | ||
008 | 211009s2022 sz | s |||| 0|eng d | ||
020 | _a9783030881818 | ||
024 | 7 |
_a10.1007/978-3-030-88181-8 _2doi |
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040 |
_aTR-AnTOB _beng _erda _cTR-AnTOB |
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041 | _aeng | ||
050 | 4 | _aTA174 | |
072 | 7 |
_aTBD _2bicssc |
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072 | 7 |
_aTEC016020 _2bisacsh |
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072 | 7 |
_aTBD _2thema |
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090 | _aTA174EBK | ||
100 | 1 |
_aLiu, Ang. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut |
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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 |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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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 |