Conceptual design of product structures based on WordNet hierarchy and association relation
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DOI: 10.1007/s10845-022-01946-9
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- Chih-Hsuan Wang, 2019. "Association rule mining and cognitive pairwise rating based portfolio analysis for product family design," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1911-1922, April.
- Pai Zheng & Xun Xu & Sheng Quan Xie, 2019. "A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 3-16, January.
- Gautam Dutta & Ravinder Kumar & Rahul Sindhwani & Rajesh Kr. Singh, 2021. "Digitalization priorities of quality control processes for SMEs: a conceptual study in perspective of Industry 4.0 adoption," Journal of Intelligent Manufacturing, Springer, vol. 32(6), pages 1679-1698, August.
- Mirja Meyer & Marc-Thorsten Hütt & Julia Bendul, 2016. "The elementary flux modes of a manufacturing system: a novel approach to explore the relationship of network structure and function," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4145-4160, July.
- Pai Zheng & Xun Xu & Sheng Quan Xie, 2019. "Correction to: A weighted interval rough number based method to determine relative importance ratings of customer requirements in QFD product planning," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 459-459, January.
- Malgorzata Kowalska & Magdalena Pazdzior & Anna Krzton-Maziopa, 2018. "Erratum to: Implementation of QFD method in quality analysis of confectionery products," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 449-450, February.
- Yao Jiao & Yu Yang, 2019. "A product configuration approach based on online data," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2473-2487, August.
- Malgorzata Kowalska & Magdalena Pazdzior & Anna Krzton-Maziopa, 2018. "Implementation of QFD method in quality analysis of confectionery products," Journal of Intelligent Manufacturing, Springer, vol. 29(2), pages 439-447, February.
- Angus Jeang, 2019. "Robust DEA methodology via computer model for conceptual design under uncertainty," Journal of Intelligent Manufacturing, Springer, vol. 30(3), pages 1221-1245, March.
- Alejandro Fernandez & Pascale Zaraté & Juan Cruz Gardey & Gabriela Bosetti, 2021. "Supporting multi-criteria decision-making across websites: the Logikós approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 29(1), pages 201-225, March.
- Heidary Dahooie, Jalil & Raafat, Romina & Qorbani, Ali Reza & Daim, Tugrul, 2021. "An intuitionistic fuzzy data-driven product ranking model using sentiment analysis and multi-criteria decision-making," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
- Yakubu, Hanan & Kwong, C.K., 2021. "Forecasting the importance of product attributes using online customer reviews and Google Trends," Technological Forecasting and Social Change, Elsevier, vol. 171(C).
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Keywords
Concept design; Product structure; Big data; Data mining; Association relation method; WordNet hierarchy;All these keywords.
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