Data-driven product design toward intelligent manufacturing: A review
With the arrival of the big data era, a lot of valuable data have been generated in the entire product life cycle. The gathered product data contain a lot of design knowledge, which brings new opportunities to enhance the production efficiency and product competitiveness. Data-driven product design...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2020-03-01
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| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.1177/1729881420911257 |
| _version_ | 1818232956324413440 |
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| author | Yixiong Feng Yuliang Zhao Hao Zheng Zhiwu Li Jianrong Tan |
| author_facet | Yixiong Feng Yuliang Zhao Hao Zheng Zhiwu Li Jianrong Tan |
| author_sort | Yixiong Feng |
| collection | DOAJ |
| description | With the arrival of the big data era, a lot of valuable data have been generated in the entire product life cycle. The gathered product data contain a lot of design knowledge, which brings new opportunities to enhance the production efficiency and product competitiveness. Data-driven product design is an effective and popular design method, which can provide sufficient support for designers to make smart decisions. This article focuses on a comprehensive review of the existing research in data-driven product design. Based on the product design process, this article summarizes the data-driven design methods into the following aspects: customer requirement analysis, conceptual design, detailed design, and design knowledge support tools. In the customer requirement analysis stage, through data mining and transformation methods, customer requirements are predicted and then mapped to obtain accurate requirement expressions for aiding designers to explore the design space. In the conceptual design stage, the intelligent algorithms and data warehouse technologies are discussed in detail for function reasoning and scheme decision-making to achieve the iterative mapping from customer space to solution space. In the detailed design stage, data modeling languages and methods are introduced to support the simulation verification of the design process. For the design knowledge support tools, the methods of extracting knowledge from product data are discussed in detail, and the realization of computer-aided conceptual design is assisted through the development of knowledge-oriented design tools. Finally, this article summarizes the key points of data-driven product design research and provides an outlook for future research directions. |
| first_indexed | 2024-12-12T11:14:31Z |
| format | Article |
| id | doaj.art-11800add9b3c4238925905d9f911a7c8 |
| institution | Directory Open Access Journal |
| issn | 1729-8814 |
| language | English |
| last_indexed | 2024-12-12T11:14:31Z |
| publishDate | 2020-03-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | International Journal of Advanced Robotic Systems |
| spelling | doaj.art-11800add9b3c4238925905d9f911a7c82022-12-22T00:26:12ZengSAGE PublishingInternational Journal of Advanced Robotic Systems1729-88142020-03-011710.1177/1729881420911257Data-driven product design toward intelligent manufacturing: A reviewYixiong Feng0Yuliang Zhao1Hao Zheng2Zhiwu Li3Jianrong Tan4 State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, People’s Republic of China State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, People’s Republic of China Hangzhou Innovation Institute, Beihang University, Hangzhou, People’s Republic of China School of Electro-Mechanical Engineering, Xidian University, Xi’an, People’s Republic of China State Key Laboratory of Fluid Power and Mechatronic Systems, Zhejiang University, Hangzhou, People’s Republic of ChinaWith the arrival of the big data era, a lot of valuable data have been generated in the entire product life cycle. The gathered product data contain a lot of design knowledge, which brings new opportunities to enhance the production efficiency and product competitiveness. Data-driven product design is an effective and popular design method, which can provide sufficient support for designers to make smart decisions. This article focuses on a comprehensive review of the existing research in data-driven product design. Based on the product design process, this article summarizes the data-driven design methods into the following aspects: customer requirement analysis, conceptual design, detailed design, and design knowledge support tools. In the customer requirement analysis stage, through data mining and transformation methods, customer requirements are predicted and then mapped to obtain accurate requirement expressions for aiding designers to explore the design space. In the conceptual design stage, the intelligent algorithms and data warehouse technologies are discussed in detail for function reasoning and scheme decision-making to achieve the iterative mapping from customer space to solution space. In the detailed design stage, data modeling languages and methods are introduced to support the simulation verification of the design process. For the design knowledge support tools, the methods of extracting knowledge from product data are discussed in detail, and the realization of computer-aided conceptual design is assisted through the development of knowledge-oriented design tools. Finally, this article summarizes the key points of data-driven product design research and provides an outlook for future research directions.https://doi.org/10.1177/1729881420911257 |
| spellingShingle | Yixiong Feng Yuliang Zhao Hao Zheng Zhiwu Li Jianrong Tan Data-driven product design toward intelligent manufacturing: A review International Journal of Advanced Robotic Systems |
| title | Data-driven product design toward intelligent manufacturing: A review |
| title_full | Data-driven product design toward intelligent manufacturing: A review |
| title_fullStr | Data-driven product design toward intelligent manufacturing: A review |
| title_full_unstemmed | Data-driven product design toward intelligent manufacturing: A review |
| title_short | Data-driven product design toward intelligent manufacturing: A review |
| title_sort | data driven product design toward intelligent manufacturing a review |
| url | https://doi.org/10.1177/1729881420911257 |
| work_keys_str_mv | AT yixiongfeng datadrivenproductdesigntowardintelligentmanufacturingareview AT yuliangzhao datadrivenproductdesigntowardintelligentmanufacturingareview AT haozheng datadrivenproductdesigntowardintelligentmanufacturingareview AT zhiwuli datadrivenproductdesigntowardintelligentmanufacturingareview AT jianrongtan datadrivenproductdesigntowardintelligentmanufacturingareview |