Product family architecture design with predictive, data-driven product family design method
| العنوان: | Product family architecture design with predictive, data-driven product family design method |
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| المؤلفون: | Harrison M. Kim, Jungmok Ma |
| المصدر: | Research in Engineering Design. 27:5-21 |
| بيانات النشر: | Springer Science and Business Media LLC, 2015. |
| سنة النشر: | 2015 |
| مصطلحات موضوعية: | 0209 industrial biotechnology, Engineering, Mathematical optimization, Profit (accounting), business.industry, Mechanical Engineering, 02 engineering and technology, computer.software_genre, Industrial and Manufacturing Engineering, Synthetic data, Data-driven, 020901 industrial engineering & automation, Architecture, 0202 electrical engineering, electronic engineering, information engineering, 020201 artificial intelligence & image processing, Product (category theory), Profit model, Data mining, Cluster analysis, Engineering design process, business, Market value, computer, Civil and Structural Engineering |
| الوصف: | This article addresses the challenge of determining optimal product family architectures with customer preference data. The proposed model, predictive data-driven product family design (PDPFD), expands clustering-based approaches to incorporate a market-driven approach. The market-driven approach provides a profit model in the near future to determine the optimal position and number of product architectures among product architecture candidates generated by the k-means clustering algorithm. An extended market value prediction method is proposed to capture the trend of customer preferences and uncertainties in predictive modeling. A universal electric motors design example is used to demonstrate the implementation of the proposed framework in a hypothetical market. Finally, the comparative study with synthetic data shows that the PDPFD algorithm maximizes the expected profit, while clustering-based models do not consider market so that less profit can be achieved. |
| تدمد: | 1435-6066 0934-9839 |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_________::dfdbd003abaa9a5b3ce429aff238434bTest https://doi.org/10.1007/s00163-015-0201-4Test |
| حقوق: | CLOSED |
| رقم الانضمام: | edsair.doi...........dfdbd003abaa9a5b3ce429aff238434b |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 14356066 09349839 |
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