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Titlebook: Data-Driven Engineering Design; Ang Liu,Yuchen Wang,Xingzhi Wang Book 2022 The Editor(s) (if applicable) and The Author(s), under exclusiv

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樓主: Autopsy
21#
發(fā)表于 2025-3-25 06:15:46 | 只看該作者
User-Generated Content Analysis for Customer Needs Elicitation, specific product features. The framework also provides insights into product usage contexts, which facilitates discovering product improvements and innovation opportunities. A case study of an e-reader demonstrates the application of the proposed framework.
22#
發(fā)表于 2025-3-25 09:59:36 | 只看該作者
23#
發(fā)表于 2025-3-25 13:38:57 | 只看該作者
Enabling Technologies of Data-Driven Engineering Design,logies can be integrated, either vertically or horizontally, towards an integrated system of systems. Multiple specific applications of these enabling technologies are presented as illustrative examples.
24#
發(fā)表于 2025-3-25 16:23:41 | 只看該作者
25#
發(fā)表于 2025-3-25 23:01:39 | 只看該作者
native approaches to early-stage design.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 pa
26#
發(fā)表于 2025-3-26 03:13:26 | 只看該作者
27#
發(fā)表于 2025-3-26 06:01:31 | 只看該作者
28#
發(fā)表于 2025-3-26 12:07:38 | 只看該作者
29#
發(fā)表于 2025-3-26 13:39:00 | 只看該作者
Iterative Searching and Sorting,perations to support design operations involved in the process of designing a smart product with stronger context-smartness, network-smartness, and service-smartness. Some existing design methods and emerging design tools are also incorporated into the framework.
30#
發(fā)表于 2025-3-26 18:59:58 | 只看該作者
Data-Driven Engineering Design,h relevant notions. The background, motivation, and significance of data-driven engineering design are elaborated. From a theoretical perspective, data-driven engineering design is characterized by a novel integration between the existing design theory and methodology with the emerging data science.
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